*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Salt Lake City, Utah
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Robyn Honquest
Salt Lake City, Utah
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Financial Services Firm is hiring for a Lead Technical Architect for their team based in London. This is a permanent role and they operate a hybrid working pattern with 2-3 days in the office. Salary ranges between £90K - £120K. This is a hands-on role. 10+ years of experience Software or Solution Architecture experience Cloud Microservices Distributed cache systems experience DevOps Design of trading systems Java and Kafka Financial Services experience is essential for this role Please apply for immediate interview! The JM Longbridge Group is operating and advertising as an Employment Agency for permanent positions and as an Employment Business for interim/contract/temporary positions. The JM Longbridge Group is an Equal Opportunities employer and we encourage applicants from all backgrounds.
10/05/2024
Full time
Financial Services Firm is hiring for a Lead Technical Architect for their team based in London. This is a permanent role and they operate a hybrid working pattern with 2-3 days in the office. Salary ranges between £90K - £120K. This is a hands-on role. 10+ years of experience Software or Solution Architecture experience Cloud Microservices Distributed cache systems experience DevOps Design of trading systems Java and Kafka Financial Services experience is essential for this role Please apply for immediate interview! The JM Longbridge Group is operating and advertising as an Employment Agency for permanent positions and as an Employment Business for interim/contract/temporary positions. The JM Longbridge Group is an Equal Opportunities employer and we encourage applicants from all backgrounds.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director, Software Engineering - QRM. This director will manage 6 people and will help develop software applications and solutions for the quantitative management platform. This director will need hands-on experience with Java, DevOps, CICD, AWS, Containers, terraform, Etc. Responsibilities: Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, backtesting and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office.
10/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director, Software Engineering - QRM. This director will manage 6 people and will help develop software applications and solutions for the quantitative management platform. This director will need hands-on experience with Java, DevOps, CICD, AWS, Containers, terraform, Etc. Responsibilities: Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, backtesting and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office.
Role Title: Solution Architect - Credit Risk Duration: 7 Months Location: Northampton/Hybrid (2 days on site) Rate: £455/d - Umbrella only Would you like to join a global leader in consulting, technology services and digital transformation? Our client is at the forefront of innovation to address the entire breadth of opportunities in the evolving world of cloud, digital and platforms. Role purpose/summary Provide architectural designs to change customers/colleagues banking and working lives for the better Create an architectural vision in keeping with the business providing a technical solution for customer and colleagues. Own the technical solution, provide an end to end assurance that satisfies business needs Be the technology expert to whom that business area trusts to realise their aspirations as to how they can best drive their business forward in helping our customers Challenge status quo: with new thinking encourages. Provide fresh perspective that protects our brand, but also re-energises us as a bank with technology at its heart Collaborate with like-minded architects in other business areas Own the architectural future of multiple technology platforms, ensuring that any developments align to the overall strategy. Key Skills/requirements Shape and define solutions across disparate technologies that enable you to resolve a complex business issue, with simple technology solutions Expert in either Cloud technology (ideally AWS) Proven background liaising with senior stakeholders to influence their thinking Exhibit deep technical understanding conveyed through crisp solutions design walkthroughs. Skills that will help you in the role: Functional/Domain exposure in Banking/Cards/Loans Exposure of modern architecture patterns (Domain Driven, Event Streaming, Data Lakes, API) Exposure working in DevOps operating model and associated tools (JIRA, GIT, Jenkins, CHEF) Ability to understand Threat Vectors in cloud environment and design associated security/controls. All profiles will be reviewed against the required skills and experience. Due to the high number of applications, we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
10/05/2024
Project-based
Role Title: Solution Architect - Credit Risk Duration: 7 Months Location: Northampton/Hybrid (2 days on site) Rate: £455/d - Umbrella only Would you like to join a global leader in consulting, technology services and digital transformation? Our client is at the forefront of innovation to address the entire breadth of opportunities in the evolving world of cloud, digital and platforms. Role purpose/summary Provide architectural designs to change customers/colleagues banking and working lives for the better Create an architectural vision in keeping with the business providing a technical solution for customer and colleagues. Own the technical solution, provide an end to end assurance that satisfies business needs Be the technology expert to whom that business area trusts to realise their aspirations as to how they can best drive their business forward in helping our customers Challenge status quo: with new thinking encourages. Provide fresh perspective that protects our brand, but also re-energises us as a bank with technology at its heart Collaborate with like-minded architects in other business areas Own the architectural future of multiple technology platforms, ensuring that any developments align to the overall strategy. Key Skills/requirements Shape and define solutions across disparate technologies that enable you to resolve a complex business issue, with simple technology solutions Expert in either Cloud technology (ideally AWS) Proven background liaising with senior stakeholders to influence their thinking Exhibit deep technical understanding conveyed through crisp solutions design walkthroughs. Skills that will help you in the role: Functional/Domain exposure in Banking/Cards/Loans Exposure of modern architecture patterns (Domain Driven, Event Streaming, Data Lakes, API) Exposure working in DevOps operating model and associated tools (JIRA, GIT, Jenkins, CHEF) Ability to understand Threat Vectors in cloud environment and design associated security/controls. All profiles will be reviewed against the required skills and experience. Due to the high number of applications, we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
What can you expect as a Senior Data Engineer - SQL Azure/Data Factory/Databricks/Python/Azure DevOps Working for a respected Microsoft Gold Partner that will help you gain Microsoft certifications; Joining a rapidly expanding and innovative organisation with exciting plans for 2024, that will give you the freedom to grow as an Azure Data professional, with a clear career path; Working with clients across various industries on exciting projects that will see you utilising the latest products within the Microsoft Azure and SQL Data analytics stack; A flat hierarchy and no-door policy. You won't have a manager but a mentor who will help you grow from both a business and technical perspective; A basic salary between £60k - £70k is on offer depending on your depth and breadth of experience in Azure Data Platform engineering and Microsoft Business Intelligence and if you have worked for a consultancy previously. Multiple Senior Data Engineers are required to join a well-respected Microsoft Gold Partner on a permanent basis. The Senior Data Engineer role will vary depending on client project requirements but will primarily focus on the delivery of enterprise-level applications in the Azure Data Services and Microsoft Cloud Business Intelligence arena. Whilst the role is NOT fully remote, there is a lot of flexibility around how often you would like to be in the office or work from home, with current requirements to be on client site are minimal. However, as a Senior Data Engineer, you should expect and be willing to travel to client site as and when required for discovery and playback meetings, etc Again, the basic salary on offer for the Senior Data Engineer position will range between £60,000 - 70,000 depending on experience, plus bonus and benefits. Skills & experience required for the Senior Data Engineer role: Current/previous experience taking a lead role in delivering Azure data solutions; Proven experience developing enterprise traditional Microsoft BI/Data Warehousing and Azure Data Analytics solutions Commercial experience working with one or more of the following Azure data services (ADS): Azure Data Factory, Azure Data Lake Store and Azure Data Lake Analytics with uSQL, Azure Databricks, Azure SQL DB and Azure SQL DW/Azure Synapse Analytics, Azure Analysis Services with DAX, etc Power BI data visualization (Power BI Desktop, Power BI Service) (desirable) Previous and recent experience working for a reputable consultancy (Highly desirable); Excellent stakeholder management experience. This is an excellent time for an Senior Data Engineer to join a Cloud Data Analytics Specialist with a prestigious client base where you can really make a name for yourself in the SQL community! To find out more, please send your CV to Lewis Blades for review. DISCLAIMER: Venturi is a staffing business dedicated to you, differentiating ourselves in the marketplace by quality of service and candidate delivery. Our highly skilled and experienced staff operate within dedicated markets to give you the best service possible. Venturi markets include Data & Business Intelligence, Data Science, Software Development & Engineering, DevOps & Cloud, Infrastructure & Support, Network & Security and Change & Business Transformation. Venturi operates as an employment agency and employment business. No terminology in this advert is intended to discriminate on the grounds of age, and we confirm that we are happy to accept applications from persons of any age for this role.
10/05/2024
Full time
What can you expect as a Senior Data Engineer - SQL Azure/Data Factory/Databricks/Python/Azure DevOps Working for a respected Microsoft Gold Partner that will help you gain Microsoft certifications; Joining a rapidly expanding and innovative organisation with exciting plans for 2024, that will give you the freedom to grow as an Azure Data professional, with a clear career path; Working with clients across various industries on exciting projects that will see you utilising the latest products within the Microsoft Azure and SQL Data analytics stack; A flat hierarchy and no-door policy. You won't have a manager but a mentor who will help you grow from both a business and technical perspective; A basic salary between £60k - £70k is on offer depending on your depth and breadth of experience in Azure Data Platform engineering and Microsoft Business Intelligence and if you have worked for a consultancy previously. Multiple Senior Data Engineers are required to join a well-respected Microsoft Gold Partner on a permanent basis. The Senior Data Engineer role will vary depending on client project requirements but will primarily focus on the delivery of enterprise-level applications in the Azure Data Services and Microsoft Cloud Business Intelligence arena. Whilst the role is NOT fully remote, there is a lot of flexibility around how often you would like to be in the office or work from home, with current requirements to be on client site are minimal. However, as a Senior Data Engineer, you should expect and be willing to travel to client site as and when required for discovery and playback meetings, etc Again, the basic salary on offer for the Senior Data Engineer position will range between £60,000 - 70,000 depending on experience, plus bonus and benefits. Skills & experience required for the Senior Data Engineer role: Current/previous experience taking a lead role in delivering Azure data solutions; Proven experience developing enterprise traditional Microsoft BI/Data Warehousing and Azure Data Analytics solutions Commercial experience working with one or more of the following Azure data services (ADS): Azure Data Factory, Azure Data Lake Store and Azure Data Lake Analytics with uSQL, Azure Databricks, Azure SQL DB and Azure SQL DW/Azure Synapse Analytics, Azure Analysis Services with DAX, etc Power BI data visualization (Power BI Desktop, Power BI Service) (desirable) Previous and recent experience working for a reputable consultancy (Highly desirable); Excellent stakeholder management experience. This is an excellent time for an Senior Data Engineer to join a Cloud Data Analytics Specialist with a prestigious client base where you can really make a name for yourself in the SQL community! To find out more, please send your CV to Lewis Blades for review. DISCLAIMER: Venturi is a staffing business dedicated to you, differentiating ourselves in the marketplace by quality of service and candidate delivery. Our highly skilled and experienced staff operate within dedicated markets to give you the best service possible. Venturi markets include Data & Business Intelligence, Data Science, Software Development & Engineering, DevOps & Cloud, Infrastructure & Support, Network & Security and Change & Business Transformation. Venturi operates as an employment agency and employment business. No terminology in this advert is intended to discriminate on the grounds of age, and we confirm that we are happy to accept applications from persons of any age for this role.
Description: Since our establishment in 1990, Methods has worked with a range of central government departments and agencies to transform the way the public sector operates in the UK. Our mission is to deliver value to our customers through effective application of digital thinking and technology change. Methods was acquired by ALTEN Plc (a French multi-national Engineering and IT company) in 2022. Our strategy is to deliver profitable, sustainable growth; expanding ALTEN's Enterprise IT Service capabilities in the UK for both public and private sector customers. Our TDSE (Technical Delivery and Software Engineering) portfolio is a key part of Methods' growth strategy, focusing on software and cloud engineering, consultancy, and technical architecture. Our aim is to deliver value by delivering high-quality solutions, built on a DevOps culture and continuous delivery principles to support digital, data and technology transformation. The business has grown rapidly (from startup in 2019 to just under £30m turnover in 2022-3) and targets profitable growth over the next 5 years as part of ALTEN's global expansion strategy. Our human touch sets us apart from other consultancies, system integrators and software houses - with people, technology, and data at the heart of who we are, we believe in creating value and sustainability through everything we do for our clients, staff, communities, and the planet. We support our clients in the success of their projects while working collaboratively to share knowledge and solve problems. Predominantly focused on the public-sector, Methods is now building a significant private sector client portfolio. Methods was acquired by the Alten Group in early 2022. Summary Methods is seeking a Senior Developer to join our growing software engineering team. As a Senior Developer at Methods you will be expected to work on client projects delivering high quality software. You will be expected to feed in to design decisions, help promote best working practices, carry out code reviews, take part in sprint ceremonies and be part of meetings with client stakeholders as required. Away from project work you will be given time for personal development and will be expected to keep improving existing skills and learning new technologies. You will also be asked at times to provide input into bids for new work. Responsibilities Designing and developing high-quality web applications Collaborating with cross-functional teams to gather requirements and define project scopes Implementing innovative solutions to meet project objectives and deliverables Working with Front End developers to integrate user interfaces with Back End functionalities Conducting code reviews and ensuring code quality and best practices Troubleshooting and debugging applications to identify and fix issues Sharing knowledge and providing support to other developers Keeping up-to-date with the latest industry trends and technologies Assisting with writing bids Requirements Extensive .NET C# Experience with NodeJS development Experience developing secure web services and RESTful APIs Experience with Front End technologies such as HTML, CSS, and JavaScript Experience of software testing best practices (TDD, BDD) Familiarity with relational and non-relational databases Experience with continuous integration and deployment Familiarity with cloud platforms (AWS, Azure or GCP) Additional This role will require you to have or be willing to go through Security Clearance. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website Gov.UK. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of Have you lived in the UK for the last 5 years? Have you travelled outside of the UK for more than 28 days in the last 12 months? If yes, please ask for further details: Dates, location, reason for travel Have you had any extended periods of travel over 3 months in the last 5 years? If yes, please ask for further details: Dates, location, reason for travel Do you have dual nationality or any former nationalities? Are you willing to go through the vetting process for SC? This will be discussed with you at interview. This role is mainly home-based with occasional travel to the office. Benefits Methods is passionate about its people; we want our colleagues to develop the things they are good at and enjoy. By joining us you can expect: Autonomy to develop and grow your skills and experience Be part of exciting project work that is making a difference in society Strong, inspiring, and thought-provoking leadership A supportive and collaborative environment As well as this we offer: Development - access to LinkedIn Learning, a management development programme, and training Wellness - 24/7 confidential employee assistance programme Flexible Working - including home working and part time Social - office parties, breakfast Tuesdays, monthly pizza Thursdays, Thirsty Thursdays, and commitment to charitable causes Time Off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation Pension - Salary Exchange Scheme with 4% employer contribution and 5% employee contribution Discretionary Company Bonus - based on company and individual performance Life Assurance - of 4 times base salary Private Medical Insurance - which is non-contributory (spouse and dependants included) Worldwide Travel Insurance - which is non-contributory (spouse and dependants included) Enhanced Maternity and Paternity Pay Travel - season ticket loan, cycle to work scheme For a full list of benefits please visit our website.
10/05/2024
Full time
Description: Since our establishment in 1990, Methods has worked with a range of central government departments and agencies to transform the way the public sector operates in the UK. Our mission is to deliver value to our customers through effective application of digital thinking and technology change. Methods was acquired by ALTEN Plc (a French multi-national Engineering and IT company) in 2022. Our strategy is to deliver profitable, sustainable growth; expanding ALTEN's Enterprise IT Service capabilities in the UK for both public and private sector customers. Our TDSE (Technical Delivery and Software Engineering) portfolio is a key part of Methods' growth strategy, focusing on software and cloud engineering, consultancy, and technical architecture. Our aim is to deliver value by delivering high-quality solutions, built on a DevOps culture and continuous delivery principles to support digital, data and technology transformation. The business has grown rapidly (from startup in 2019 to just under £30m turnover in 2022-3) and targets profitable growth over the next 5 years as part of ALTEN's global expansion strategy. Our human touch sets us apart from other consultancies, system integrators and software houses - with people, technology, and data at the heart of who we are, we believe in creating value and sustainability through everything we do for our clients, staff, communities, and the planet. We support our clients in the success of their projects while working collaboratively to share knowledge and solve problems. Predominantly focused on the public-sector, Methods is now building a significant private sector client portfolio. Methods was acquired by the Alten Group in early 2022. Summary Methods is seeking a Senior Developer to join our growing software engineering team. As a Senior Developer at Methods you will be expected to work on client projects delivering high quality software. You will be expected to feed in to design decisions, help promote best working practices, carry out code reviews, take part in sprint ceremonies and be part of meetings with client stakeholders as required. Away from project work you will be given time for personal development and will be expected to keep improving existing skills and learning new technologies. You will also be asked at times to provide input into bids for new work. Responsibilities Designing and developing high-quality web applications Collaborating with cross-functional teams to gather requirements and define project scopes Implementing innovative solutions to meet project objectives and deliverables Working with Front End developers to integrate user interfaces with Back End functionalities Conducting code reviews and ensuring code quality and best practices Troubleshooting and debugging applications to identify and fix issues Sharing knowledge and providing support to other developers Keeping up-to-date with the latest industry trends and technologies Assisting with writing bids Requirements Extensive .NET C# Experience with NodeJS development Experience developing secure web services and RESTful APIs Experience with Front End technologies such as HTML, CSS, and JavaScript Experience of software testing best practices (TDD, BDD) Familiarity with relational and non-relational databases Experience with continuous integration and deployment Familiarity with cloud platforms (AWS, Azure or GCP) Additional This role will require you to have or be willing to go through Security Clearance. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website Gov.UK. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of Have you lived in the UK for the last 5 years? Have you travelled outside of the UK for more than 28 days in the last 12 months? If yes, please ask for further details: Dates, location, reason for travel Have you had any extended periods of travel over 3 months in the last 5 years? If yes, please ask for further details: Dates, location, reason for travel Do you have dual nationality or any former nationalities? Are you willing to go through the vetting process for SC? This will be discussed with you at interview. This role is mainly home-based with occasional travel to the office. Benefits Methods is passionate about its people; we want our colleagues to develop the things they are good at and enjoy. By joining us you can expect: Autonomy to develop and grow your skills and experience Be part of exciting project work that is making a difference in society Strong, inspiring, and thought-provoking leadership A supportive and collaborative environment As well as this we offer: Development - access to LinkedIn Learning, a management development programme, and training Wellness - 24/7 confidential employee assistance programme Flexible Working - including home working and part time Social - office parties, breakfast Tuesdays, monthly pizza Thursdays, Thirsty Thursdays, and commitment to charitable causes Time Off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation Pension - Salary Exchange Scheme with 4% employer contribution and 5% employee contribution Discretionary Company Bonus - based on company and individual performance Life Assurance - of 4 times base salary Private Medical Insurance - which is non-contributory (spouse and dependants included) Worldwide Travel Insurance - which is non-contributory (spouse and dependants included) Enhanced Maternity and Paternity Pay Travel - season ticket loan, cycle to work scheme For a full list of benefits please visit our website.
Murex Engineer - Financial Services - London - Permanent - hybrid (3 days office/2 days wfh) Our client, a leading financial markets and commodities bank based in the city of London is seeking a Murex Engineer to join their dynamic Global Markets IT Engineering team on a permanent basis. This role offers an exciting opportunity to play a crucial part in maintaining the CI toolset for the Murex platform and ecosystem. The successful candidate will be instrumental in defining and implementing software development life cycle processes, ensuring efficient code and configuration development while reducing errors, improving stability and enhancing code quality. This role provides a unique chance to gain a broad understanding of the Global Markets division and a diverse range of banking products. Join a dynamic Global Markets IT Engineering team Play a crucial role in maintaining the CI toolset for the Murex platform Opportunity to gain a broad understanding of the Global Markets division and diverse range of banking products What you'll do: As a Murex Engineer, you will be at the heart of our client's Global Markets IT Engineering team. Your primary responsibility will be to maintain the Continuous Integration (CI) toolset for the Murex platform, ensuring its optimal performance. You will also be tasked with resolving support requests and incidents, assisting teams with education on CI tools, maintaining the Murex platform's CI tooling, analysing issues raised by support teams, identifying inefficiencies, providing solutions, promoting CI tooling usage across teams, and continuously learning about market trends. Configure the Murex platform's CI tooling Monitor the performance of CI pipelines Resolve support requests and incidents according to established procedures Assist RTB and CTB teams with education and support on the bank's CI tool set Maintain the Murex platform's CI tooling including bug fixing, upgrades and enhancements as requested Analyze any issues raised by the support and change teams and where necessary engage with relevant vendors and communities to resolve Actively identify inefficiencies and errors and provide solutions Promote the use of the CI tooling across the Murex team(s) and the wider GM IT team What you bring: The ideal Murex Engineer will bring a wealth of experience from the financial sector, specifically within a technology team. You will have spent at least 2 years in a CI/CD environment and possess strong technical skills including XML/XLST, RDMS/SQL, Excel, Unix. Your proficiency in CI tools like Jenkins, TeamCity, GitLab, Azure DevOps will be highly valued. A good understanding of version control systems such as GIT and Scripting languages such as Java, Groovy, Python, Shell Scripting is essential. Experience with cloud implementations and hands-on Murex knowledge would be advantageous. Degree in Computer Science, IT Engineering or related discipline At least 5 years experience working within a technology team in the financial sector required At least 2 years working in a CI/CD environment Hands-on Murex experience/knowledge is preferred (technically and functionally) Experience of cloud implementations is a plus Strong basic technical skills such as XML/XLST, RDMS/SQL, Excel, Unix Proficiency in CI tools like Jenkins, TeamCity, GitLab, Azure DevOps, etc. Good understanding of version control systems such as GIT Good Scripting language skills such as Java, Groovy, Python, Shell Scripting, etc. Our Recruitment Delivery Team are committed to offering an inclusive recruitment experience to all candidates. If you require any accommodations or adjustments as a result of disability, impairment, or health condition, please do not hesitate to let me know.
10/05/2024
Full time
Murex Engineer - Financial Services - London - Permanent - hybrid (3 days office/2 days wfh) Our client, a leading financial markets and commodities bank based in the city of London is seeking a Murex Engineer to join their dynamic Global Markets IT Engineering team on a permanent basis. This role offers an exciting opportunity to play a crucial part in maintaining the CI toolset for the Murex platform and ecosystem. The successful candidate will be instrumental in defining and implementing software development life cycle processes, ensuring efficient code and configuration development while reducing errors, improving stability and enhancing code quality. This role provides a unique chance to gain a broad understanding of the Global Markets division and a diverse range of banking products. Join a dynamic Global Markets IT Engineering team Play a crucial role in maintaining the CI toolset for the Murex platform Opportunity to gain a broad understanding of the Global Markets division and diverse range of banking products What you'll do: As a Murex Engineer, you will be at the heart of our client's Global Markets IT Engineering team. Your primary responsibility will be to maintain the Continuous Integration (CI) toolset for the Murex platform, ensuring its optimal performance. You will also be tasked with resolving support requests and incidents, assisting teams with education on CI tools, maintaining the Murex platform's CI tooling, analysing issues raised by support teams, identifying inefficiencies, providing solutions, promoting CI tooling usage across teams, and continuously learning about market trends. Configure the Murex platform's CI tooling Monitor the performance of CI pipelines Resolve support requests and incidents according to established procedures Assist RTB and CTB teams with education and support on the bank's CI tool set Maintain the Murex platform's CI tooling including bug fixing, upgrades and enhancements as requested Analyze any issues raised by the support and change teams and where necessary engage with relevant vendors and communities to resolve Actively identify inefficiencies and errors and provide solutions Promote the use of the CI tooling across the Murex team(s) and the wider GM IT team What you bring: The ideal Murex Engineer will bring a wealth of experience from the financial sector, specifically within a technology team. You will have spent at least 2 years in a CI/CD environment and possess strong technical skills including XML/XLST, RDMS/SQL, Excel, Unix. Your proficiency in CI tools like Jenkins, TeamCity, GitLab, Azure DevOps will be highly valued. A good understanding of version control systems such as GIT and Scripting languages such as Java, Groovy, Python, Shell Scripting is essential. Experience with cloud implementations and hands-on Murex knowledge would be advantageous. Degree in Computer Science, IT Engineering or related discipline At least 5 years experience working within a technology team in the financial sector required At least 2 years working in a CI/CD environment Hands-on Murex experience/knowledge is preferred (technically and functionally) Experience of cloud implementations is a plus Strong basic technical skills such as XML/XLST, RDMS/SQL, Excel, Unix Proficiency in CI tools like Jenkins, TeamCity, GitLab, Azure DevOps, etc. Good understanding of version control systems such as GIT Good Scripting language skills such as Java, Groovy, Python, Shell Scripting, etc. Our Recruitment Delivery Team are committed to offering an inclusive recruitment experience to all candidates. If you require any accommodations or adjustments as a result of disability, impairment, or health condition, please do not hesitate to let me know.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Director of Risk Management Software Engineering. Candidate will be responsible for functions within Quantitative Risk Management for developing and maintaining risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. Responsibilities: Collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, back-testing and monitoring. Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, back-testing and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office. Experience with Scripting languages such as Python is a plus. Experience with numerical libraries and/or scientific computing is a plus.
09/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Director of Risk Management Software Engineering. Candidate will be responsible for functions within Quantitative Risk Management for developing and maintaining risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. Responsibilities: Collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, back-testing and monitoring. Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, back-testing and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office. Experience with Scripting languages such as Python is a plus. Experience with numerical libraries and/or scientific computing is a plus.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Confluence/Jira Administrator. This role will focus on Atlassian products and administrating/integrating Confluence and Jira. This person will need experience working in a Windows environment and AWS cloud. Responsibilities: Provide technical leadership for planning, designing, installing, testing, and implementing solutions. Provide subject matter expertise on the SDLC platforms we maintain (Confluence, Jira, SpiraTest). Implementing Atlassian plugins and supporting integration with other enterprise software. Ensure best practice adherence for core system development, security, tuning and performance. Supports Knowledge Management (KM) program strategy, transformation, and technical implementation. Creates knowledge documentation related to requirements and solution design. Facilitates knowledge transfer sessions for administration and self-service. Develop a train the trainer model for support and administration. Qualifications: Bachelor's degree in a STEM field preferred, 4 years of additional related work experience may be substituted for degree. 3-5 years of experience of SaaS platform implementation and/or system administration. 3+ years of hands-on experience developing and maintaining cloud platform technologies. Certifications in Atlassian products are preferred. 3+ years of experience in implementing Atlassian products. Experience with RESTful APIs, JSON, and XML. Experience with Agile/Scrum or DevOps methodologies. Experience with SQL, Python, PowerShell, or other Scripting languages Experience with System and Data Architecture Experience or knowledge of SDLC pipeline tools such as Git, Jenkins, SonarQube or similar tools
09/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Confluence/Jira Administrator. This role will focus on Atlassian products and administrating/integrating Confluence and Jira. This person will need experience working in a Windows environment and AWS cloud. Responsibilities: Provide technical leadership for planning, designing, installing, testing, and implementing solutions. Provide subject matter expertise on the SDLC platforms we maintain (Confluence, Jira, SpiraTest). Implementing Atlassian plugins and supporting integration with other enterprise software. Ensure best practice adherence for core system development, security, tuning and performance. Supports Knowledge Management (KM) program strategy, transformation, and technical implementation. Creates knowledge documentation related to requirements and solution design. Facilitates knowledge transfer sessions for administration and self-service. Develop a train the trainer model for support and administration. Qualifications: Bachelor's degree in a STEM field preferred, 4 years of additional related work experience may be substituted for degree. 3-5 years of experience of SaaS platform implementation and/or system administration. 3+ years of hands-on experience developing and maintaining cloud platform technologies. Certifications in Atlassian products are preferred. 3+ years of experience in implementing Atlassian products. Experience with RESTful APIs, JSON, and XML. Experience with Agile/Scrum or DevOps methodologies. Experience with SQL, Python, PowerShell, or other Scripting languages Experience with System and Data Architecture Experience or knowledge of SDLC pipeline tools such as Git, Jenkins, SonarQube or similar tools
Position Summary: As an Infrastructure Architect you will play a crucial role in driving the transformation of mission-critical Legacy systems for large-scale organizations. Your expertise in defining target architectures, roadmaps, and providing innovative solutions to complex problems will be instrumental in the success of our projects. You will be expected to lead by example, working hands-on in a variety of environments including cloud-hosted and data centre hosted, leveraging your deep knowledge in modern architectural patterns and cloud technologies to deliver robust, scalable, and efficient infrastructure solutions. Key Responsibilities: Architectural Leadership: Define and implement target architectures and roadmaps for transforming mission-critical Legacy systems in large-scale organizations, focusing on modernization and efficiency. Solution Provisioning: Tackle complex issues arising in programs and projects, offering viable, innovative solutions that align with the client's strategic goals. DevOps and Continuous Improvement: Review and improve DevOps practices to enhance the ways of working, ensuring a smooth, continuous delivery pipeline and a robust dev-ops culture. Cloud and Data Centre Expertise: Utilize your extensive experience in both cloud-hosted and data centre environments to architect and deploy scalable, resilient infrastructures, Cloud, H/W and Azure Stack Hub technologies, and containerization technologies like Docker or Kubernetes. Networking and Security: Apply in-depth experience in defining Non-Functional requirements and utilize expertise in CISCO Firewalls to ensure robust, secure infrastructure solutions. API and Integration Mastery: Design and implement robust APIs and data applications using Azure, with a strong grasp on API design principles, interface documentation, protocols, data exchange methods, and automated deployments using Azure DevOps pipelines. Infrastructure as Code (IaaC): Apply hands-on experience in IaaC to manage and automate cloud infrastructure, ensuring scalable and manageable cloud solutions. Agile and DevOps Culture: Promote an agile environment with a focus on continual delivery techniques and a strong dev-ops culture, while being flexible and ready to work hands-on in projects. Business Growth and Innovation: Support business growth by setting up a Center of Excellence ( CoE ) for Azure Stack Hub and Data Centre Infrastructure Architecture, hiring and mentoring junior members/apprentices, fostering a culture of innovation, and developing pre-sales and marketing content. Client Project Delivery: Deliver customer-specific projects with precision and a client-first approach, ensuring the highest standards of quality and service. Qualifications and Skills: Proven experience in architecture roles, with a focus on mission-critical Legacy transformation projects in large-scale organizations. Strong background in Infrastructure solution architecture using cloud and data centre technologies, particularly Azure/Azure Stack Hub, with additional experience in AWS being preferred. Comprehensive knowledge of DevOps practices, cloud-hosted and data centre environments, EDA, Microservice Architecture, IaaC, and containerization technologies. Excellent API design skills and experience in building data applications and automated deployments. Previous experience in designing and delivering systems based on IaaS, PaaS, and SaaS offerings. In-depth experience in agile environments, continual delivery techniques, and a strong dev-ops culture. Must be flexible to travel to London twice a week post-Covid. Leadership skills with the ability to set up a CoE, mentor junior team members, and drive innovation within the company. Excellent communication and collaboration skills to work effectively across various teams and with clients. Location: Position may require flexibility in location, with a need to travel to London twice a week post-Covid. Commitment to Excellence: In this role, you will not only be responsible for technical architecture but also for contributing to the growth and innovation of our company. Your work will directly impact the success of our projects and the satisfaction of our clients, making you a key player in our team.
09/05/2024
Full time
Position Summary: As an Infrastructure Architect you will play a crucial role in driving the transformation of mission-critical Legacy systems for large-scale organizations. Your expertise in defining target architectures, roadmaps, and providing innovative solutions to complex problems will be instrumental in the success of our projects. You will be expected to lead by example, working hands-on in a variety of environments including cloud-hosted and data centre hosted, leveraging your deep knowledge in modern architectural patterns and cloud technologies to deliver robust, scalable, and efficient infrastructure solutions. Key Responsibilities: Architectural Leadership: Define and implement target architectures and roadmaps for transforming mission-critical Legacy systems in large-scale organizations, focusing on modernization and efficiency. Solution Provisioning: Tackle complex issues arising in programs and projects, offering viable, innovative solutions that align with the client's strategic goals. DevOps and Continuous Improvement: Review and improve DevOps practices to enhance the ways of working, ensuring a smooth, continuous delivery pipeline and a robust dev-ops culture. Cloud and Data Centre Expertise: Utilize your extensive experience in both cloud-hosted and data centre environments to architect and deploy scalable, resilient infrastructures, Cloud, H/W and Azure Stack Hub technologies, and containerization technologies like Docker or Kubernetes. Networking and Security: Apply in-depth experience in defining Non-Functional requirements and utilize expertise in CISCO Firewalls to ensure robust, secure infrastructure solutions. API and Integration Mastery: Design and implement robust APIs and data applications using Azure, with a strong grasp on API design principles, interface documentation, protocols, data exchange methods, and automated deployments using Azure DevOps pipelines. Infrastructure as Code (IaaC): Apply hands-on experience in IaaC to manage and automate cloud infrastructure, ensuring scalable and manageable cloud solutions. Agile and DevOps Culture: Promote an agile environment with a focus on continual delivery techniques and a strong dev-ops culture, while being flexible and ready to work hands-on in projects. Business Growth and Innovation: Support business growth by setting up a Center of Excellence ( CoE ) for Azure Stack Hub and Data Centre Infrastructure Architecture, hiring and mentoring junior members/apprentices, fostering a culture of innovation, and developing pre-sales and marketing content. Client Project Delivery: Deliver customer-specific projects with precision and a client-first approach, ensuring the highest standards of quality and service. Qualifications and Skills: Proven experience in architecture roles, with a focus on mission-critical Legacy transformation projects in large-scale organizations. Strong background in Infrastructure solution architecture using cloud and data centre technologies, particularly Azure/Azure Stack Hub, with additional experience in AWS being preferred. Comprehensive knowledge of DevOps practices, cloud-hosted and data centre environments, EDA, Microservice Architecture, IaaC, and containerization technologies. Excellent API design skills and experience in building data applications and automated deployments. Previous experience in designing and delivering systems based on IaaS, PaaS, and SaaS offerings. In-depth experience in agile environments, continual delivery techniques, and a strong dev-ops culture. Must be flexible to travel to London twice a week post-Covid. Leadership skills with the ability to set up a CoE, mentor junior team members, and drive innovation within the company. Excellent communication and collaboration skills to work effectively across various teams and with clients. Location: Position may require flexibility in location, with a need to travel to London twice a week post-Covid. Commitment to Excellence: In this role, you will not only be responsible for technical architecture but also for contributing to the growth and innovation of our company. Your work will directly impact the success of our projects and the satisfaction of our clients, making you a key player in our team.
Costello & Reyes Group has been engaged by our client, a Defence contractor to identify an SC cleared Cilium and eBPF Deployment Engineer with a strong background in Defence services. The engagement is for an initial 6 months but has parallel programs which would enable an extension for the successful candidate. As a Cilium and eBPF Deployment Engineer , you will play a critical role in ensuring the successful integration of Cilium and eBPF technology within Kubernetes environments. Your responsibilities will include deploying, configuring, and maintaining Cilium as a robust Container Network Interface (CNI) solution. You'll collaborate closely with DevOps teams, network architects, and security professionals to enhance network observability, security, and performance. Key Responsibilities Deployment and Configuration: Deploy Cilium as a DaemonSet into Kubernetes clusters. Configure Cilium to leverage eBPF for efficient packet processing, network policy enforcement, and observability. Ensure seamless integration with existing CNI solutions. Network Observability: Utilize Hubble (Cilium's observability companion) to monitor network activities in Real Time. Leverage eBPF to gain insights into network flows, security policies, and process behavior within Kubernetes workloads. Performance Tuning: Optimize Cilium's performance by fine-tuning eBPF programs and network policies. Collaborate with performance engineers to identify bottlenecks and improve overall efficiency. Security and Compliance: Implement security policies using Cilium's eBPF-based capabilities. Ensure compliance with industry standards and best practices. Documentation and Training: Create detailed deployment guides and best practices for Cilium and eBPF integration. Train other team members on Cilium deployment and maintenance. Qualifications Experience: Minimum 2 years of experience deploying and managing Cilium and eBPF in Kubernetes environments. Technical Skills: Proficiency in Kubernetes networking concepts. Strong understanding of eBPF technology and its applications. Familiarity with network observability tools (eg, Hubble). Scripting skills (eg, Python, Go) for automation. Certifications: Cilium Certified Engineer (CCE) or equivalent certification is a plus. Collaboration: Excellent communication and teamwork skills. Skills Needed for Cilium: Kubernetes Knowledge: Understanding Kubernetes concepts and architecture is essential. Networking Expertise: Familiarity with networking principles, especially in a cloud-native context. eBPF Understanding: Learning about eBPF and how it works is crucial. Security Awareness: Knowledge of security practices and policies. Linux and Kernel Basics: Understanding Linux operating systems and Kernel Internals. Cloud Networking: Experience with virtual private clouds (VPCs), multi-cloud networking, and network automation. Service Mesh Concepts: Awareness of service mesh tools and concepts. YOU MUST HAVE AT LEAST SC CLEARANCE TO BE CONSIDERED. Should you be interested in the above position, please feel free to submit your CV and call for further information. Costello & Reyes Group Limited is one of the UK's leading providers of recruitment advice and services and acts as a recruiter on behalf of our client.
09/05/2024
Project-based
Costello & Reyes Group has been engaged by our client, a Defence contractor to identify an SC cleared Cilium and eBPF Deployment Engineer with a strong background in Defence services. The engagement is for an initial 6 months but has parallel programs which would enable an extension for the successful candidate. As a Cilium and eBPF Deployment Engineer , you will play a critical role in ensuring the successful integration of Cilium and eBPF technology within Kubernetes environments. Your responsibilities will include deploying, configuring, and maintaining Cilium as a robust Container Network Interface (CNI) solution. You'll collaborate closely with DevOps teams, network architects, and security professionals to enhance network observability, security, and performance. Key Responsibilities Deployment and Configuration: Deploy Cilium as a DaemonSet into Kubernetes clusters. Configure Cilium to leverage eBPF for efficient packet processing, network policy enforcement, and observability. Ensure seamless integration with existing CNI solutions. Network Observability: Utilize Hubble (Cilium's observability companion) to monitor network activities in Real Time. Leverage eBPF to gain insights into network flows, security policies, and process behavior within Kubernetes workloads. Performance Tuning: Optimize Cilium's performance by fine-tuning eBPF programs and network policies. Collaborate with performance engineers to identify bottlenecks and improve overall efficiency. Security and Compliance: Implement security policies using Cilium's eBPF-based capabilities. Ensure compliance with industry standards and best practices. Documentation and Training: Create detailed deployment guides and best practices for Cilium and eBPF integration. Train other team members on Cilium deployment and maintenance. Qualifications Experience: Minimum 2 years of experience deploying and managing Cilium and eBPF in Kubernetes environments. Technical Skills: Proficiency in Kubernetes networking concepts. Strong understanding of eBPF technology and its applications. Familiarity with network observability tools (eg, Hubble). Scripting skills (eg, Python, Go) for automation. Certifications: Cilium Certified Engineer (CCE) or equivalent certification is a plus. Collaboration: Excellent communication and teamwork skills. Skills Needed for Cilium: Kubernetes Knowledge: Understanding Kubernetes concepts and architecture is essential. Networking Expertise: Familiarity with networking principles, especially in a cloud-native context. eBPF Understanding: Learning about eBPF and how it works is crucial. Security Awareness: Knowledge of security practices and policies. Linux and Kernel Basics: Understanding Linux operating systems and Kernel Internals. Cloud Networking: Experience with virtual private clouds (VPCs), multi-cloud networking, and network automation. Service Mesh Concepts: Awareness of service mesh tools and concepts. YOU MUST HAVE AT LEAST SC CLEARANCE TO BE CONSIDERED. Should you be interested in the above position, please feel free to submit your CV and call for further information. Costello & Reyes Group Limited is one of the UK's leading providers of recruitment advice and services and acts as a recruiter on behalf of our client.
*Hybrid, 3 days onsite, 2 days remote* A prestigious company is looking for an Associate Principal, Appian Development. This role will focus on design, development, testing, and implementation of Appian. Responsibilities: Applies expert knowledge of Java, Python, JavaScript, NodeJS, Angular 2.0 or ReactJS and middle-ware technologies in independently designing and developing key services with a focus on continuous integration and delivery Participates in code reviews, proactively identifying and mitigating potential issues and defects as well as assisting with continuous improvement Integrating disparate data from REST and WebSocket services within a cohesive user interface Participating in innovative design and proof of concepts with emerging technologies and solutions Embrace industry best practices like continuous integration, continuous deployment, automated testing, TDD etc Follows agreed upon SDLC procedures to ensure that all information system products and services meet: both explicit and implicit quality standards, end-user functional requirements, architectural standards, performance requirements, audit requirements, security rules are upheld, and external facing reporting is properly represented Writes unit and integration tests based on chosen DevOps frameworks Qualifications: BS degree in Computer Science, similar technical field (required) Appian certified developer (required) Blue Prism certified associate developer or higher (preferred) 5+ years of Front End, User Experience, development (required) 5+ years of experience in JavaScript skills (required) 3 + years of experience automating workflows inside Appian and in conjunction with integration to other tools (required) 3+ years of experience in React application development (required) 3+ years of hands-on HTML5/CSS3 experience (required) Experience with Java and/or Python (required) Experience with popular Javascript frameworks such as React, Node JS, Vue, Angular 2.0 (required) Experience of working with websockets, HTTP 1.1 and HTTP/2 (required) Experience with RESTful APIs and JSON RPC (required) Ability to write clean, bug-free code that is easy to understand and easily maintainable (required) Experience with BDD methodologies & automated acceptance testing (required) 5+ years hands-on experience in Java, including good understanding of Java fundamentals such as Memory Model, Runtime Environment, Concurrency and Multithreading (required) Past/Current experience of 3+ years working on a large scale cloud native project (platform: Unix/Linux, Type of Systems: event-driven/transaction processing/high performance computing) as Technical Lead. These experiences should include developing/architecting core libraries or framework used by the platform to support fundamental services like storage, alert notifications, security, etc. (required) Appian Process Modeling, Smart Services, Rules and Tempo event services, database, and Web services (required) Experience with cloud technologies and migrations using public cloud vendor preferably using cloud foundational services like AWS's VPCs, Security groups, EC2, RDS, S3 ACLs, KMS, AWS CLI and IAM etc. (required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. (required) Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc (required)
08/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* A prestigious company is looking for an Associate Principal, Appian Development. This role will focus on design, development, testing, and implementation of Appian. Responsibilities: Applies expert knowledge of Java, Python, JavaScript, NodeJS, Angular 2.0 or ReactJS and middle-ware technologies in independently designing and developing key services with a focus on continuous integration and delivery Participates in code reviews, proactively identifying and mitigating potential issues and defects as well as assisting with continuous improvement Integrating disparate data from REST and WebSocket services within a cohesive user interface Participating in innovative design and proof of concepts with emerging technologies and solutions Embrace industry best practices like continuous integration, continuous deployment, automated testing, TDD etc Follows agreed upon SDLC procedures to ensure that all information system products and services meet: both explicit and implicit quality standards, end-user functional requirements, architectural standards, performance requirements, audit requirements, security rules are upheld, and external facing reporting is properly represented Writes unit and integration tests based on chosen DevOps frameworks Qualifications: BS degree in Computer Science, similar technical field (required) Appian certified developer (required) Blue Prism certified associate developer or higher (preferred) 5+ years of Front End, User Experience, development (required) 5+ years of experience in JavaScript skills (required) 3 + years of experience automating workflows inside Appian and in conjunction with integration to other tools (required) 3+ years of experience in React application development (required) 3+ years of hands-on HTML5/CSS3 experience (required) Experience with Java and/or Python (required) Experience with popular Javascript frameworks such as React, Node JS, Vue, Angular 2.0 (required) Experience of working with websockets, HTTP 1.1 and HTTP/2 (required) Experience with RESTful APIs and JSON RPC (required) Ability to write clean, bug-free code that is easy to understand and easily maintainable (required) Experience with BDD methodologies & automated acceptance testing (required) 5+ years hands-on experience in Java, including good understanding of Java fundamentals such as Memory Model, Runtime Environment, Concurrency and Multithreading (required) Past/Current experience of 3+ years working on a large scale cloud native project (platform: Unix/Linux, Type of Systems: event-driven/transaction processing/high performance computing) as Technical Lead. These experiences should include developing/architecting core libraries or framework used by the platform to support fundamental services like storage, alert notifications, security, etc. (required) Appian Process Modeling, Smart Services, Rules and Tempo event services, database, and Web services (required) Experience with cloud technologies and migrations using public cloud vendor preferably using cloud foundational services like AWS's VPCs, Security groups, EC2, RDS, S3 ACLs, KMS, AWS CLI and IAM etc. (required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. (required) Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc (required)
*Hybrid, 3 days onsite, 2 days remote* A prestigious company is looking for an Associate Principal, Appian Development. This role will focus on design, development, testing, and implementation of Appian. Responsibilities: Applies expert knowledge of Java, Python, JavaScript, NodeJS, Angular 2.0 or ReactJS and middle-ware technologies in independently designing and developing key services with a focus on continuous integration and delivery Participates in code reviews, proactively identifying and mitigating potential issues and defects as well as assisting with continuous improvement Integrating disparate data from REST and WebSocket services within a cohesive user interface Participating in innovative design and proof of concepts with emerging technologies and solutions Embrace industry best practices like continuous integration, continuous deployment, automated testing, TDD etc Follows agreed upon SDLC procedures to ensure that all information system products and services meet: both explicit and implicit quality standards, end-user functional requirements, architectural standards, performance requirements, audit requirements, security rules are upheld, and external facing reporting is properly represented Writes unit and integration tests based on chosen DevOps frameworks Qualifications: BS degree in Computer Science, similar technical field (required) Appian certified developer (required) Blue Prism certified associate developer or higher (preferred) 5+ years of Front End, User Experience, development (required) 5+ years of experience in JavaScript skills (required) 3 + years of experience automating workflows inside Appian and in conjunction with integration to other tools (required) 3+ years of experience in React application development (required) 3+ years of hands-on HTML5/CSS3 experience (required) Experience with Java and/or Python (required) Experience with popular Javascript frameworks such as React, Node JS, Vue, Angular 2.0 (required) Experience of working with websockets, HTTP 1.1 and HTTP/2 (required) Experience with RESTful APIs and JSON RPC (required) Ability to write clean, bug-free code that is easy to understand and easily maintainable (required) Experience with BDD methodologies & automated acceptance testing (required) 5+ years hands-on experience in Java, including good understanding of Java fundamentals such as Memory Model, Runtime Environment, Concurrency and Multithreading (required) Past/Current experience of 3+ years working on a large scale cloud native project (platform: Unix/Linux, Type of Systems: event-driven/transaction processing/high performance computing) as Technical Lead. These experiences should include developing/architecting core libraries or framework used by the platform to support fundamental services like storage, alert notifications, security, etc. (required) Appian Process Modeling, Smart Services, Rules and Tempo event services, database, and Web services (required) Experience with cloud technologies and migrations using public cloud vendor preferably using cloud foundational services like AWS's VPCs, Security groups, EC2, RDS, S3 ACLs, KMS, AWS CLI and IAM etc. (required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. (required) Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc (required)
08/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* A prestigious company is looking for an Associate Principal, Appian Development. This role will focus on design, development, testing, and implementation of Appian. Responsibilities: Applies expert knowledge of Java, Python, JavaScript, NodeJS, Angular 2.0 or ReactJS and middle-ware technologies in independently designing and developing key services with a focus on continuous integration and delivery Participates in code reviews, proactively identifying and mitigating potential issues and defects as well as assisting with continuous improvement Integrating disparate data from REST and WebSocket services within a cohesive user interface Participating in innovative design and proof of concepts with emerging technologies and solutions Embrace industry best practices like continuous integration, continuous deployment, automated testing, TDD etc Follows agreed upon SDLC procedures to ensure that all information system products and services meet: both explicit and implicit quality standards, end-user functional requirements, architectural standards, performance requirements, audit requirements, security rules are upheld, and external facing reporting is properly represented Writes unit and integration tests based on chosen DevOps frameworks Qualifications: BS degree in Computer Science, similar technical field (required) Appian certified developer (required) Blue Prism certified associate developer or higher (preferred) 5+ years of Front End, User Experience, development (required) 5+ years of experience in JavaScript skills (required) 3 + years of experience automating workflows inside Appian and in conjunction with integration to other tools (required) 3+ years of experience in React application development (required) 3+ years of hands-on HTML5/CSS3 experience (required) Experience with Java and/or Python (required) Experience with popular Javascript frameworks such as React, Node JS, Vue, Angular 2.0 (required) Experience of working with websockets, HTTP 1.1 and HTTP/2 (required) Experience with RESTful APIs and JSON RPC (required) Ability to write clean, bug-free code that is easy to understand and easily maintainable (required) Experience with BDD methodologies & automated acceptance testing (required) 5+ years hands-on experience in Java, including good understanding of Java fundamentals such as Memory Model, Runtime Environment, Concurrency and Multithreading (required) Past/Current experience of 3+ years working on a large scale cloud native project (platform: Unix/Linux, Type of Systems: event-driven/transaction processing/high performance computing) as Technical Lead. These experiences should include developing/architecting core libraries or framework used by the platform to support fundamental services like storage, alert notifications, security, etc. (required) Appian Process Modeling, Smart Services, Rules and Tempo event services, database, and Web services (required) Experience with cloud technologies and migrations using public cloud vendor preferably using cloud foundational services like AWS's VPCs, Security groups, EC2, RDS, S3 ACLs, KMS, AWS CLI and IAM etc. (required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. (required) Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc (required)
System Administrator - Confluence/Jira Salary: Open + Bonus Location: Chicago, IL or Dallas, TX Hybrid: 3 days onsite, 2 days remote Qualifications Bachelor's Degree 3-5 years of experience of SaaS platform implementation and/or system administration. 3+ years of hands-on experience maintaining cloud platform technologies. 3+ years of experience in administration and implementation of Atlassian products Confluence and Jira Experience with Windows technologies. Experience with Agile/Scrum or DevOps methodologies. Experience working in Financial Services or otherwise regulated environment. Experience or knowledge of SDLC pipeline tools such as Git, Jenkins, SonarQube or similar tools. Responsibilities Provide technical leadership for planning, designing, installing, testing, and implementing solutions. Provide subject matter expertise on the SDLC platforms we maintain (Confluence, Jira, SpiraTest). Implementing Atlassian plugins and supporting integration with other enterprise software. Ensure best practice adherence for core system development, security, tuning and performance. Supports Knowledge Management (KM) program strategy, transformation, and technical implementation. Creates knowledge documentation related to requirements and solution design. Facilitates knowledge transfer sessions for administration and self-service. Develop a train the trainer model for support and administration.
08/05/2024
Full time
System Administrator - Confluence/Jira Salary: Open + Bonus Location: Chicago, IL or Dallas, TX Hybrid: 3 days onsite, 2 days remote Qualifications Bachelor's Degree 3-5 years of experience of SaaS platform implementation and/or system administration. 3+ years of hands-on experience maintaining cloud platform technologies. 3+ years of experience in administration and implementation of Atlassian products Confluence and Jira Experience with Windows technologies. Experience with Agile/Scrum or DevOps methodologies. Experience working in Financial Services or otherwise regulated environment. Experience or knowledge of SDLC pipeline tools such as Git, Jenkins, SonarQube or similar tools. Responsibilities Provide technical leadership for planning, designing, installing, testing, and implementing solutions. Provide subject matter expertise on the SDLC platforms we maintain (Confluence, Jira, SpiraTest). Implementing Atlassian plugins and supporting integration with other enterprise software. Ensure best practice adherence for core system development, security, tuning and performance. Supports Knowledge Management (KM) program strategy, transformation, and technical implementation. Creates knowledge documentation related to requirements and solution design. Facilitates knowledge transfer sessions for administration and self-service. Develop a train the trainer model for support and administration.
System Administrator - Confluence/Jira Salary: Open + Bonus Location: Chicago, IL or Dallas, TX Hybrid: 3 days onsite, 2 days remote Qualifications Bachelor's Degree 3-5 years of experience of SaaS platform implementation and/or system administration. 3+ years of hands-on experience maintaining cloud platform technologies. 3+ years of experience in administration and implementation of Atlassian products Confluence and Jira Experience with Windows technologies. Experience with Agile/Scrum or DevOps methodologies. Experience working in Financial Services or otherwise regulated environment. Experience or knowledge of SDLC pipeline tools such as Git, Jenkins, SonarQube or similar tools. Responsibilities Provide technical leadership for planning, designing, installing, testing, and implementing solutions. Provide subject matter expertise on the SDLC platforms we maintain (Confluence, Jira, SpiraTest). Implementing Atlassian plugins and supporting integration with other enterprise software. Ensure best practice adherence for core system development, security, tuning and performance. Supports Knowledge Management (KM) program strategy, transformation, and technical implementation. Creates knowledge documentation related to requirements and solution design. Facilitates knowledge transfer sessions for administration and self-service. Develop a train the trainer model for support and administration.
08/05/2024
Full time
System Administrator - Confluence/Jira Salary: Open + Bonus Location: Chicago, IL or Dallas, TX Hybrid: 3 days onsite, 2 days remote Qualifications Bachelor's Degree 3-5 years of experience of SaaS platform implementation and/or system administration. 3+ years of hands-on experience maintaining cloud platform technologies. 3+ years of experience in administration and implementation of Atlassian products Confluence and Jira Experience with Windows technologies. Experience with Agile/Scrum or DevOps methodologies. Experience working in Financial Services or otherwise regulated environment. Experience or knowledge of SDLC pipeline tools such as Git, Jenkins, SonarQube or similar tools. Responsibilities Provide technical leadership for planning, designing, installing, testing, and implementing solutions. Provide subject matter expertise on the SDLC platforms we maintain (Confluence, Jira, SpiraTest). Implementing Atlassian plugins and supporting integration with other enterprise software. Ensure best practice adherence for core system development, security, tuning and performance. Supports Knowledge Management (KM) program strategy, transformation, and technical implementation. Creates knowledge documentation related to requirements and solution design. Facilitates knowledge transfer sessions for administration and self-service. Develop a train the trainer model for support and administration.