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.
17/05/2024
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.
17/05/2024
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.
*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.
17/05/2024
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.
17/05/2024
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.
17/05/2024
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.
17/05/2024
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.
Role- Network Security Engineer Location- London, UK Job type- Full time Mandatory skills- AZURE NETWORK SPECIALIST Job Description: Experience: 7+ Years Primary responsibilities include Architecture, Planning, Build, Implement and support troubleshooting issues by analysing infrastructure and application alerts and Root Cause Analysis. Perform vulnerability assessment and management ensuring reliability, performance, compliance and business continuity. Develop process and scripts for automating post-change security/environment/quality assurance testing for production release. Address P1/P2/P3 incidents and lead/coordinate scheduled changes in a 24/7/365 service environment. Job Description: Experience and good knowledge in the design, development and Implementation of large-scale Network and Security solutions; comprised of Routing & Switching, Firewalls & VPNs, Load balancers, Network Virtualization & Software Defined Networking( IPV4/IPV6), etc. across On-premise and Cloud Infrastructure. Working experience and sound knowledge on Data Centre & Cloud Infrastructure Networking- Tools and Technologies Hands-on experience and ability to troubleshoot and support critical issues/escalations. Experience with load balancers such as F5, Array, Fortinet, etc. Experience with cloud service providers (AWS, GCP, Azure, etc.) Proven Experience in leading a Network Integration and transformation, in the capacity of Solution Architect/Sr. Engineer Experience in providing in-depth knowledge on network platforms and services, defining and documenting best practices and strategies. Experience or knowledge of Network & Security modelling Tools, NetDevOps, and Network Automation, towards Network as a Code will be an added advantage. Initiate, demonstrate and assume ownership of the opportunities and improvement areas, ensuring completeness of the technical requirements to support business needs. Stay up to date with emerging tools, technologies and trends in the enterprise domain comprising of Network& Security infrastructure and cloud services, leading to innovative solutions addressing the current and future needs Educational Qualification: Graduate- BE/BTech or Postgraduate - Electronics/Communications/Computer Science Certification: ITIL, CCNA/CCNP/JCNA, CCDP/CCIE, Azure/MCSE/RHCE or equivalent technical certifications
17/05/2024
Full time
Role- Network Security Engineer Location- London, UK Job type- Full time Mandatory skills- AZURE NETWORK SPECIALIST Job Description: Experience: 7+ Years Primary responsibilities include Architecture, Planning, Build, Implement and support troubleshooting issues by analysing infrastructure and application alerts and Root Cause Analysis. Perform vulnerability assessment and management ensuring reliability, performance, compliance and business continuity. Develop process and scripts for automating post-change security/environment/quality assurance testing for production release. Address P1/P2/P3 incidents and lead/coordinate scheduled changes in a 24/7/365 service environment. Job Description: Experience and good knowledge in the design, development and Implementation of large-scale Network and Security solutions; comprised of Routing & Switching, Firewalls & VPNs, Load balancers, Network Virtualization & Software Defined Networking( IPV4/IPV6), etc. across On-premise and Cloud Infrastructure. Working experience and sound knowledge on Data Centre & Cloud Infrastructure Networking- Tools and Technologies Hands-on experience and ability to troubleshoot and support critical issues/escalations. Experience with load balancers such as F5, Array, Fortinet, etc. Experience with cloud service providers (AWS, GCP, Azure, etc.) Proven Experience in leading a Network Integration and transformation, in the capacity of Solution Architect/Sr. Engineer Experience in providing in-depth knowledge on network platforms and services, defining and documenting best practices and strategies. Experience or knowledge of Network & Security modelling Tools, NetDevOps, and Network Automation, towards Network as a Code will be an added advantage. Initiate, demonstrate and assume ownership of the opportunities and improvement areas, ensuring completeness of the technical requirements to support business needs. Stay up to date with emerging tools, technologies and trends in the enterprise domain comprising of Network& Security infrastructure and cloud services, leading to innovative solutions addressing the current and future needs Educational Qualification: Graduate- BE/BTech or Postgraduate - Electronics/Communications/Computer Science Certification: ITIL, CCNA/CCNP/JCNA, CCDP/CCIE, Azure/MCSE/RHCE or equivalent technical certifications
Job Description: We are seeking a highly skilled and experienced Cloud Specialist with expertise in Azure and AWS cloud architecture to join our dynamic team. As a Cloud Specialist, your primary responsibility will be to design, implement, and maintain reliable cloud-based solutions on Azure and AWS platforms to meet our clients' diverse needs. You will be an integral part of our project teams, working closely with our clients and cross-functional teams to drive successful cloud adoption strategies. Roles and Responsibilities: Design and implement complex and scalable cloud-based solutions on Azure and AWS platforms to meet client requirements, ensuring high availability, performance, scalability, and security. Assess clients' existing infrastructure, applications, and business requirements to architect cloud solutions that align with their strategic goals and technical objectives. Collaborate with clients, project managers, and other technical teams to define cloud migration strategies, develop project plans, and ensure project deliverables are met within budget and timeline. Conduct technical assessments and provide recommendations to optimize clients' cloud environments, ensuring they are cost-effective, secure, and aligned with industry best practices. Lead and participate in cloud design and architecture discussions, providing technical guidance and expertise to project teams and clients. Develop and maintain cloud architecture documentation, including diagrams, reference architectures, and technical specifications. Stay up-to-date with the latest trends and advancements in cloud technologies, monitoring industry changes and making recommendations for continuous improvement of our cloud solutions and services. Skills and Qualifications: Bachelor's degree in computer science, information systems, or a related field. (Master's degree preferred) 5+ years of experience as a cloud architect or similar role, designing and implementing cloud solutions on Azure and AWS platforms. In-depth knowledge and hands-on experience with Azure and AWS cloud services, including compute, networking, storage, databases, and security. Proven expertise in designing and implementing highly available, scalable, and secure cloud architectures using cloud-native and hybrid cloud technologies. Hands-on experience with infrastructure-as-code tools (eg, Terraform, CloudFormation), DevOps practices, and CI/CD pipelines. Strong understanding of cloud security best practices, including identity and access management, encryption, monitoring, and compliance. Excellent written and verbal communication skills, with the ability to translate technical concepts into clear and concise documentation and presentations. Strong problem-solving and troubleshooting skills, with the ability to quickly identify and resolve issues in cloud environments. Certifications in Azure and AWS (eg, Azure Solutions Architect Expert, AWS Certified Solutions Architect - Professional) are highly desirable
17/05/2024
Full time
Job Description: We are seeking a highly skilled and experienced Cloud Specialist with expertise in Azure and AWS cloud architecture to join our dynamic team. As a Cloud Specialist, your primary responsibility will be to design, implement, and maintain reliable cloud-based solutions on Azure and AWS platforms to meet our clients' diverse needs. You will be an integral part of our project teams, working closely with our clients and cross-functional teams to drive successful cloud adoption strategies. Roles and Responsibilities: Design and implement complex and scalable cloud-based solutions on Azure and AWS platforms to meet client requirements, ensuring high availability, performance, scalability, and security. Assess clients' existing infrastructure, applications, and business requirements to architect cloud solutions that align with their strategic goals and technical objectives. Collaborate with clients, project managers, and other technical teams to define cloud migration strategies, develop project plans, and ensure project deliverables are met within budget and timeline. Conduct technical assessments and provide recommendations to optimize clients' cloud environments, ensuring they are cost-effective, secure, and aligned with industry best practices. Lead and participate in cloud design and architecture discussions, providing technical guidance and expertise to project teams and clients. Develop and maintain cloud architecture documentation, including diagrams, reference architectures, and technical specifications. Stay up-to-date with the latest trends and advancements in cloud technologies, monitoring industry changes and making recommendations for continuous improvement of our cloud solutions and services. Skills and Qualifications: Bachelor's degree in computer science, information systems, or a related field. (Master's degree preferred) 5+ years of experience as a cloud architect or similar role, designing and implementing cloud solutions on Azure and AWS platforms. In-depth knowledge and hands-on experience with Azure and AWS cloud services, including compute, networking, storage, databases, and security. Proven expertise in designing and implementing highly available, scalable, and secure cloud architectures using cloud-native and hybrid cloud technologies. Hands-on experience with infrastructure-as-code tools (eg, Terraform, CloudFormation), DevOps practices, and CI/CD pipelines. Strong understanding of cloud security best practices, including identity and access management, encryption, monitoring, and compliance. Excellent written and verbal communication skills, with the ability to translate technical concepts into clear and concise documentation and presentations. Strong problem-solving and troubleshooting skills, with the ability to quickly identify and resolve issues in cloud environments. Certifications in Azure and AWS (eg, Azure Solutions Architect Expert, AWS Certified Solutions Architect - Professional) are highly desirable
Power Platform Developer Midlands (Hybrid) £42,000 - £45,000 + 15% Bonus VIQU have partnered with a leading engineering business based in the Midlands. They are looking to grow their platform development function by adding a Dynamics 365 Developer. Main responsibilities of this position include, to assist the design, development and maintenance of Dynamics 365 solutions using Power Platform, Power Apps, Power Automate, .NET and Cloud Technologies. Responsibilities: Work with the team to develop Dynamics and Power Platform Estate. Support development using the Microsoft .NET Platform. Support the integration of existing core systems with the D365 Platform. Provide support and root cause analysis with other in the group where necessary. Technical Skills: 2 years of development experience on Dynamics 365. Knowledge of building and deploying solutions on the Dynamics and Power Platform. Working knowledge of Power Apps such as Canvas Apps and Model Driven Apps. Knowledge of IT infrastructure and ITIL Processes. Worked on projects using Agile and DevOps methodologies. To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Storm Robertson, by exploring the VIQU IT Recruitment website. If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1,000 once your referral has successfully started work with our client (terms apply).
17/05/2024
Full time
Power Platform Developer Midlands (Hybrid) £42,000 - £45,000 + 15% Bonus VIQU have partnered with a leading engineering business based in the Midlands. They are looking to grow their platform development function by adding a Dynamics 365 Developer. Main responsibilities of this position include, to assist the design, development and maintenance of Dynamics 365 solutions using Power Platform, Power Apps, Power Automate, .NET and Cloud Technologies. Responsibilities: Work with the team to develop Dynamics and Power Platform Estate. Support development using the Microsoft .NET Platform. Support the integration of existing core systems with the D365 Platform. Provide support and root cause analysis with other in the group where necessary. Technical Skills: 2 years of development experience on Dynamics 365. Knowledge of building and deploying solutions on the Dynamics and Power Platform. Working knowledge of Power Apps such as Canvas Apps and Model Driven Apps. Knowledge of IT infrastructure and ITIL Processes. Worked on projects using Agile and DevOps methodologies. To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Storm Robertson, by exploring the VIQU IT Recruitment website. If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1,000 once your referral has successfully started work with our client (terms apply).
Microsoft Cloud Native Engineer UK Wide £65,000 - £75,000 Security Clearance is required or at least have eligibility for this! A leading consultancy organisation is currently looking to recruit x5 Microsoft Cloud Native Engineer who will specialise in agile custom software development and integration at an enterprise scale. You will be working on exciting IT projects, all built on Microsoft technology built on Azure working to deliver the most innovative solutions using the Microsoft stack and a variety of Open Source to achieve the best possible outcome for clients. Your role Design and document technical Azure Cloud Native solutions that incorporate recommended security practices and assisting with architectural decisions. Be a software engineer and subject matter expert on delivery engagements for clients with responsibility for the specification, development, testing and implementation of complex cloud native applications build on Azure. Help shape and implement delivery best practices across projects eg branching strategy, testing methodology, CI/CD and pipelines. Support services before they go live through activities such as system design consulting, developing software platforms, frameworks, automated testing, deployment and release pipelines, capacity planning and launch reviews. Maintain services once they are live by measuring and monitoring availability, latency, errors, saturation, traffic and overall system health. Your skills and experience Great software engineering practices including knowledge and the application of SOLID principles, software engineering design patterns, Test Driven Development as well as cloud design patterns. Experience developing resilient and scaleable APIs and working on integration led transformations and platforms. Expertise in end to end Azure native solution development and delivery with a focus on Azure PaaS services. Experience of .NET and related technologies (C#, .NET 6+, MVC, Entity Framework, Blazor, SQL Backend etc.) Experience using Azure DevOps, experience of Continuous Integration (CI) and Continuous Delivery (CD), ideally using GIT, ARM templates and Azure DevOps. Experience of working in collaborative teams and working in an agile manner in a commercial environment.
17/05/2024
Full time
Microsoft Cloud Native Engineer UK Wide £65,000 - £75,000 Security Clearance is required or at least have eligibility for this! A leading consultancy organisation is currently looking to recruit x5 Microsoft Cloud Native Engineer who will specialise in agile custom software development and integration at an enterprise scale. You will be working on exciting IT projects, all built on Microsoft technology built on Azure working to deliver the most innovative solutions using the Microsoft stack and a variety of Open Source to achieve the best possible outcome for clients. Your role Design and document technical Azure Cloud Native solutions that incorporate recommended security practices and assisting with architectural decisions. Be a software engineer and subject matter expert on delivery engagements for clients with responsibility for the specification, development, testing and implementation of complex cloud native applications build on Azure. Help shape and implement delivery best practices across projects eg branching strategy, testing methodology, CI/CD and pipelines. Support services before they go live through activities such as system design consulting, developing software platforms, frameworks, automated testing, deployment and release pipelines, capacity planning and launch reviews. Maintain services once they are live by measuring and monitoring availability, latency, errors, saturation, traffic and overall system health. Your skills and experience Great software engineering practices including knowledge and the application of SOLID principles, software engineering design patterns, Test Driven Development as well as cloud design patterns. Experience developing resilient and scaleable APIs and working on integration led transformations and platforms. Expertise in end to end Azure native solution development and delivery with a focus on Azure PaaS services. Experience of .NET and related technologies (C#, .NET 6+, MVC, Entity Framework, Blazor, SQL Backend etc.) Experience using Azure DevOps, experience of Continuous Integration (CI) and Continuous Delivery (CD), ideally using GIT, ARM templates and Azure DevOps. Experience of working in collaborative teams and working in an agile manner in a commercial environment.
Description: Description: Senior Full Stack Developer Length of contract: 12 months Location: Basel Background : We are looking for an experienced Full Stack Developer with strong foundation knowledge and a good way of thinking during design and troubleshooting exercises. The successful candidate should be a self-starter and quick learner. The successful candidate will be working on a challenging and interesting environment that builds and support strategic IT applications for the Bank. Perfect candidate: A Senior Full Stack Developer with strong technical skills, willing to work in an environment where the tech stack is being modernized, bringing new ideas, curiosity towards new technologies. Ideally the successful candidate should have a good understanding of custom developed systems and how to work with them. Tasks & Responsibilities: Design and develop software using commonly used concepts and practices Deliver tested software using automated testing frameworks Collaborate with other developers in an Agile environment and be comfortable doing pair programming, code reviews and participating design discussion sessions Deliver high quality results in a complex environment and somtimes under pressure Must haves: Minimum 5 years of professional experience as a Developer. (*) Strong Object-oriented programming knowledge - excellent knowledge of C#, .NET framework and .NET, experience in JavaScript and at least 1 year experience in React (*) Able to solve complex problems by using commonly known design patterns (eg SOLID) (*) Experience in modern UI component libraries like Ant design, Bootstrap or similar (*) Experience in ORMs (Entity Framework especially) (*) Experience with agile engineering practices like continuous integration, unit and integration testing, and deployment automation (*) Interpersonal skills: Fluent English Team player, good collaboration skills Nice to have: Experience in AngularJS or Angular MS/Oracle SQL experience (writing queries, debugging slow performing queries) Experience with DevOps practices Experience with Typescript Knowledge of UI development support tools (Gulp, NodeJS, NPM etc.) Knowledge in the concepts of User experience design (or have a passion for UX) Technical leadership experience would be a plus Skills: C# .net JavaScript react SQL angularjs angular Oracle Job Title: Full Stack Developer Location: Basel, Switzerland Job Type: Contract TEKsystems, an Allegis Group company. Allegis Group AG, Aeschengraben 20, CH-4051 Basel, Switzerland. Registration No. CHE-101.865.121. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
17/05/2024
Project-based
Description: Description: Senior Full Stack Developer Length of contract: 12 months Location: Basel Background : We are looking for an experienced Full Stack Developer with strong foundation knowledge and a good way of thinking during design and troubleshooting exercises. The successful candidate should be a self-starter and quick learner. The successful candidate will be working on a challenging and interesting environment that builds and support strategic IT applications for the Bank. Perfect candidate: A Senior Full Stack Developer with strong technical skills, willing to work in an environment where the tech stack is being modernized, bringing new ideas, curiosity towards new technologies. Ideally the successful candidate should have a good understanding of custom developed systems and how to work with them. Tasks & Responsibilities: Design and develop software using commonly used concepts and practices Deliver tested software using automated testing frameworks Collaborate with other developers in an Agile environment and be comfortable doing pair programming, code reviews and participating design discussion sessions Deliver high quality results in a complex environment and somtimes under pressure Must haves: Minimum 5 years of professional experience as a Developer. (*) Strong Object-oriented programming knowledge - excellent knowledge of C#, .NET framework and .NET, experience in JavaScript and at least 1 year experience in React (*) Able to solve complex problems by using commonly known design patterns (eg SOLID) (*) Experience in modern UI component libraries like Ant design, Bootstrap or similar (*) Experience in ORMs (Entity Framework especially) (*) Experience with agile engineering practices like continuous integration, unit and integration testing, and deployment automation (*) Interpersonal skills: Fluent English Team player, good collaboration skills Nice to have: Experience in AngularJS or Angular MS/Oracle SQL experience (writing queries, debugging slow performing queries) Experience with DevOps practices Experience with Typescript Knowledge of UI development support tools (Gulp, NodeJS, NPM etc.) Knowledge in the concepts of User experience design (or have a passion for UX) Technical leadership experience would be a plus Skills: C# .net JavaScript react SQL angularjs angular Oracle Job Title: Full Stack Developer Location: Basel, Switzerland Job Type: Contract TEKsystems, an Allegis Group company. Allegis Group AG, Aeschengraben 20, CH-4051 Basel, Switzerland. Registration No. CHE-101.865.121. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
Lead AI Consultant Location: Bristol or Swindon (2 days a week on-site) Salary: £70,000 - £130,000 (based on experience) Sanderson are seeking an experienced Lead AI Consultant to join a leading SaaS platform provider. This is a unique opportunity to be part of a dynamic team and play a pivotal role in shaping the strategic direction of AI implementation within the business. About the Role: As the Lead AI Consultant, you will report directly to the CTO and be responsible for driving AI adoption, developing "big data" solutions, and defining API strategies. You will collaborate with senior product, technical, and operational managers to enhance the product suite with cutting-edge AI technologies. Key Responsibilities: Develop and execute the technical integration strategy. Create comprehensive "big data" solutions across products. Define internal and external API strategies. Enhance existing products through AI technologies. Design, develop, and implement AI solutions. Integrate AI with client data, APIs, and production systems. Conduct data analysis and build machine learning models. Utilize modern ML and AI libraries and frameworks. Deliver reliable solutions collaboratively. Desired Experience: Significant experience as an AI Consultant, Machine Learning Engineer, or similar role. Proven track record in start-up or dynamic environments. Hands-on experience with cloud-based AI and ML solutions (eg Azure). Knowledge of generative AI applications and embedding models. Proficiency in MLOps and DevOps practices. Strong programming skills in Python and C#. Experience with Big Data technologies and ETL processes. Familiarity with distributed computing frameworks like Kubernetes. Why Join: Drive AI innovation at a leading SaaS provider. Work with a dynamic, forward-thinking team. Engage in challenging projects that impact business growth. Enjoy a high degree of autonomy in defining AI strategy.
17/05/2024
Full time
Lead AI Consultant Location: Bristol or Swindon (2 days a week on-site) Salary: £70,000 - £130,000 (based on experience) Sanderson are seeking an experienced Lead AI Consultant to join a leading SaaS platform provider. This is a unique opportunity to be part of a dynamic team and play a pivotal role in shaping the strategic direction of AI implementation within the business. About the Role: As the Lead AI Consultant, you will report directly to the CTO and be responsible for driving AI adoption, developing "big data" solutions, and defining API strategies. You will collaborate with senior product, technical, and operational managers to enhance the product suite with cutting-edge AI technologies. Key Responsibilities: Develop and execute the technical integration strategy. Create comprehensive "big data" solutions across products. Define internal and external API strategies. Enhance existing products through AI technologies. Design, develop, and implement AI solutions. Integrate AI with client data, APIs, and production systems. Conduct data analysis and build machine learning models. Utilize modern ML and AI libraries and frameworks. Deliver reliable solutions collaboratively. Desired Experience: Significant experience as an AI Consultant, Machine Learning Engineer, or similar role. Proven track record in start-up or dynamic environments. Hands-on experience with cloud-based AI and ML solutions (eg Azure). Knowledge of generative AI applications and embedding models. Proficiency in MLOps and DevOps practices. Strong programming skills in Python and C#. Experience with Big Data technologies and ETL processes. Familiarity with distributed computing frameworks like Kubernetes. Why Join: Drive AI innovation at a leading SaaS provider. Work with a dynamic, forward-thinking team. Engage in challenging projects that impact business growth. Enjoy a high degree of autonomy in defining AI strategy.
D365 Senior Support Analyst Hybrid/Birmingham Salary - £45,000 - £50,000 per annum D365 Senior Support Analyst required work alongside other members of the support team to ensure customers get the agreed level of service and will be expected to work independently and assist with case escalations where appropriate. You will play a key role in D365 and Power Platform solution support and participate in every aspect of the D365 and Power Platform solution support from: triage of large case numbers from multiple customers, resolving customer cases, recognising change requests, managing customer escalations and environment/release management. Key Requirements: Can resolve D365 Support cases, provide root cause analysis and create a customer document that outlines the root cause as well as the steps taken to resolve the issue. Provide in-depth knowledge of the D365 CE application and evaluate the customer's business processes against the standard D365 CE functionality where required. Responsible for documenting the business requirements which express what actions a solution must take/how a fix must be implemented and what outcome is expected. Ability to effectively manage their case load and assist in handling and resolving escalation cases. If modifications/customisations are required, either to processes, Power Platform solutions or to the Dynamics 365 CE application, the D365 Senior Support Analyst should facilitate the customer's decision-making process and develop the functional design document that will drive the development process. Technical requirements: Design, create and configure Dynamics 365 CE/Power Platform solutions implementing 'low code, no code' approach. Dynamics 365 CE/CRM product experience on the following: Sales - (Lead/Opportunity/Quote/Order/Invoice). Marketing and campaigns - Including Add-ons eg, Click Dimensions/Mailchimp/Microsoft Dynamics Marketing) Service and Case management including SLAs and Entitlements. Custom ISV/xRM solutions using Dynamics 365 and Power Platform. Entity Design and Entity Relationship modelling implementing multiple relationship types. Model Driven App Form Design. Business Process Flows spanning multiple entities and implementing branching logic. Classic Dynamics 365 CE Workflows, including various trigger events and complex conditional logic. Dynamics 365 CE Dashboards including a combination of charts and list views. Reporting using both the Dynamics 365 report wizard and able to identify where SQL Server Reporting Services (SSRS) reports may be used. Model Driven Apps containing multiple system components. Ribbon Customisation. Where appropriate can implement complex field types (Rollup/Calculated/Customer). Understands the Dynamics 365 CE security model and which components of the system that can be restricted by security. Where necessary, can write and interpret JavaScript within the context of Dynamics 365 CE. Understands and identifies the point at which requirements are more effectively met using custom plugins/workflow assemblies and can articulate those requirements to the relevant colleagues. Ability to extend solutions using complimentary Office 365/Power Platform technologies such as: Power Platform Power Automate - Create and maintain complex Power Automate flows implementing different trigger events, trigger filtering and multiple actions. Power Bi - Understands the key concepts when this technology may be implemented to support an overall deployment. Can modify existing Power Bi reports to meet customer needs. DevOps - Understands how a standard Dynamics 365 CE development cycle works and can use DevOps tasks/user stories/sprints to manage deployment contents. Interested? Please submit your updated CV to Olivia Yafai at Crimson for immediate review. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers! Crimson is acting as an employment agency regarding this vacancy. Please visit our website to see Crimson's Privacy Statement, should you wish to view prior to applying for this vacancy.
17/05/2024
Full time
D365 Senior Support Analyst Hybrid/Birmingham Salary - £45,000 - £50,000 per annum D365 Senior Support Analyst required work alongside other members of the support team to ensure customers get the agreed level of service and will be expected to work independently and assist with case escalations where appropriate. You will play a key role in D365 and Power Platform solution support and participate in every aspect of the D365 and Power Platform solution support from: triage of large case numbers from multiple customers, resolving customer cases, recognising change requests, managing customer escalations and environment/release management. Key Requirements: Can resolve D365 Support cases, provide root cause analysis and create a customer document that outlines the root cause as well as the steps taken to resolve the issue. Provide in-depth knowledge of the D365 CE application and evaluate the customer's business processes against the standard D365 CE functionality where required. Responsible for documenting the business requirements which express what actions a solution must take/how a fix must be implemented and what outcome is expected. Ability to effectively manage their case load and assist in handling and resolving escalation cases. If modifications/customisations are required, either to processes, Power Platform solutions or to the Dynamics 365 CE application, the D365 Senior Support Analyst should facilitate the customer's decision-making process and develop the functional design document that will drive the development process. Technical requirements: Design, create and configure Dynamics 365 CE/Power Platform solutions implementing 'low code, no code' approach. Dynamics 365 CE/CRM product experience on the following: Sales - (Lead/Opportunity/Quote/Order/Invoice). Marketing and campaigns - Including Add-ons eg, Click Dimensions/Mailchimp/Microsoft Dynamics Marketing) Service and Case management including SLAs and Entitlements. Custom ISV/xRM solutions using Dynamics 365 and Power Platform. Entity Design and Entity Relationship modelling implementing multiple relationship types. Model Driven App Form Design. Business Process Flows spanning multiple entities and implementing branching logic. Classic Dynamics 365 CE Workflows, including various trigger events and complex conditional logic. Dynamics 365 CE Dashboards including a combination of charts and list views. Reporting using both the Dynamics 365 report wizard and able to identify where SQL Server Reporting Services (SSRS) reports may be used. Model Driven Apps containing multiple system components. Ribbon Customisation. Where appropriate can implement complex field types (Rollup/Calculated/Customer). Understands the Dynamics 365 CE security model and which components of the system that can be restricted by security. Where necessary, can write and interpret JavaScript within the context of Dynamics 365 CE. Understands and identifies the point at which requirements are more effectively met using custom plugins/workflow assemblies and can articulate those requirements to the relevant colleagues. Ability to extend solutions using complimentary Office 365/Power Platform technologies such as: Power Platform Power Automate - Create and maintain complex Power Automate flows implementing different trigger events, trigger filtering and multiple actions. Power Bi - Understands the key concepts when this technology may be implemented to support an overall deployment. Can modify existing Power Bi reports to meet customer needs. DevOps - Understands how a standard Dynamics 365 CE development cycle works and can use DevOps tasks/user stories/sprints to manage deployment contents. Interested? Please submit your updated CV to Olivia Yafai at Crimson for immediate review. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers! Crimson is acting as an employment agency regarding this vacancy. Please visit our website to see Crimson's Privacy Statement, should you wish to view prior to applying for this vacancy.
Power Platform Technical Consultant Hybrid £60,000-75,000 + perm benefits A leading consultancy organisation is currently looking to recruit Power Platform Consultants who can bring a wealth of knowledge across the whole of the Power Platform to projects and end clients. Utilising both technical and functional skills to build applications, advise on solutions, lead discussions and design sessions and drive adoption of the power platform. Due to the nature of the end clients, we require candidates to be eligible to obtain SC Clearance Your role Identify user needs and create great relationships with project stakeholders. Lead the design, development, and implementation of Power Platform solutions to meet user needs within a delivery team. Be a technical specialist, producing high quality applications, both model driven and canvas, as well as enterprise scale Power Automate Cloud Flow solutions. Build solutions as part of an agile team using declarative tools, backed by Microsoft and using our own technical accelerators. You will be part of teams that follow software engineering best practices, and you will have a say in the design of a solution. Your profile Hands on experience in the setup of Continuous Integration (CI) and Continuous Delivery (CD), ideally using Azure DevOps. Hands on experience with Dataverse and Dataverse for Teams as part of implementing Power Platform solutions. You have a passion for and experience with industry-wide standards and best practices when designing and building solutions in the Power Platform. A focus on delivering positive outcomes to our clients, whatever their scale. Experience delivering according to an agile methodology, working in collaborative teams in a commercial environment. An understanding of the broader Microsoft technology stack and an ability to leverage it to create powerful solutions. A desire to continually develop your knowledge of new functionality in the Microsoft technology stack, shown by recent exams and certifications.
17/05/2024
Full time
Power Platform Technical Consultant Hybrid £60,000-75,000 + perm benefits A leading consultancy organisation is currently looking to recruit Power Platform Consultants who can bring a wealth of knowledge across the whole of the Power Platform to projects and end clients. Utilising both technical and functional skills to build applications, advise on solutions, lead discussions and design sessions and drive adoption of the power platform. Due to the nature of the end clients, we require candidates to be eligible to obtain SC Clearance Your role Identify user needs and create great relationships with project stakeholders. Lead the design, development, and implementation of Power Platform solutions to meet user needs within a delivery team. Be a technical specialist, producing high quality applications, both model driven and canvas, as well as enterprise scale Power Automate Cloud Flow solutions. Build solutions as part of an agile team using declarative tools, backed by Microsoft and using our own technical accelerators. You will be part of teams that follow software engineering best practices, and you will have a say in the design of a solution. Your profile Hands on experience in the setup of Continuous Integration (CI) and Continuous Delivery (CD), ideally using Azure DevOps. Hands on experience with Dataverse and Dataverse for Teams as part of implementing Power Platform solutions. You have a passion for and experience with industry-wide standards and best practices when designing and building solutions in the Power Platform. A focus on delivering positive outcomes to our clients, whatever their scale. Experience delivering according to an agile methodology, working in collaborative teams in a commercial environment. An understanding of the broader Microsoft technology stack and an ability to leverage it to create powerful solutions. A desire to continually develop your knowledge of new functionality in the Microsoft technology stack, shown by recent exams and certifications.
Solution Architect - Cloud Infrastructure vacancy for our Aargau based client in the technology sector. Your tasks: Developing and optimizing Google and Azure infrastructure architecture to support cloud-based IT solutions within the company Establishing organization-wide cloud standards in collaboration with local IS delivery teams and partner vendors Driving initiatives for evaluating and scaling cloud-native services and solutions Accelerating implementation of automation around cloud infrastructure to enhance delivery processes and support DevOps-based service models Supporting definition and maintenance of architectural roadmaps for cloud platforms and related technologies Providing technical knowledge and insights to support business and IT projects, ensuring successful deployment and commercial viability Your experience/knowledge: 10+ years of IT experience, including 8+ years in Infrastructure Solution Architecture, with 4+ years specifically in cloud-related roles Proficient in Google Cloud Platform GCP and Microsoft Azure, with hands-on experience in architecture design, deployment, and management of cloud-based solutions Strong ability to design and implement infrastructure solutions aligned with business requirements, translating them into effective and cost-efficient IT solutions Solid understanding of networking concepts and security principles in cloud environments, including WAN, LAN, DNS, Firewalls, and load balancers Experienced in implementing automation strategies for cloud infrastructure, leveraging DevOps practices to enhance deployment speed and reliability Degree in Computer Science, Engineering, Business Management, or related field; Google and Azure Cloud certifications is a plus Your soft skills: Excellent communication skills, essential for collaborating with stakeholders and presenting technical ideas clearly Proven leadership skills to drive initiatives, resolve conflicts, and motivate teams towards successful cloud adoption Location: Aargau, Switzerland Sector: Technology Start: ASAP Duration: 06MM+ Ref .Nr.: BH21572 Take the next step and send us your resume along with a daytime phone number where we can reach you. Due to Swiss work permit restrictions, we can only consider applications from Swiss nationals, EU citizens as well as current work-permit holders for Switzerland. Ukrainian refugees are warmly welcomed, we will support you all the way. We welcome applications from individuals of all genders, age groups, sexual orientations, personal expressions, ethnic backgrounds, and religious beliefs. Therefore, there is no requirement to provide gender information or a photo in your application. As per client requirements, we need information about your marital status, nationality, date of birth, and a valid Swiss work permit. For applicants with disabilities, we are happy to explore potential solutions with our end client.
17/05/2024
Project-based
Solution Architect - Cloud Infrastructure vacancy for our Aargau based client in the technology sector. Your tasks: Developing and optimizing Google and Azure infrastructure architecture to support cloud-based IT solutions within the company Establishing organization-wide cloud standards in collaboration with local IS delivery teams and partner vendors Driving initiatives for evaluating and scaling cloud-native services and solutions Accelerating implementation of automation around cloud infrastructure to enhance delivery processes and support DevOps-based service models Supporting definition and maintenance of architectural roadmaps for cloud platforms and related technologies Providing technical knowledge and insights to support business and IT projects, ensuring successful deployment and commercial viability Your experience/knowledge: 10+ years of IT experience, including 8+ years in Infrastructure Solution Architecture, with 4+ years specifically in cloud-related roles Proficient in Google Cloud Platform GCP and Microsoft Azure, with hands-on experience in architecture design, deployment, and management of cloud-based solutions Strong ability to design and implement infrastructure solutions aligned with business requirements, translating them into effective and cost-efficient IT solutions Solid understanding of networking concepts and security principles in cloud environments, including WAN, LAN, DNS, Firewalls, and load balancers Experienced in implementing automation strategies for cloud infrastructure, leveraging DevOps practices to enhance deployment speed and reliability Degree in Computer Science, Engineering, Business Management, or related field; Google and Azure Cloud certifications is a plus Your soft skills: Excellent communication skills, essential for collaborating with stakeholders and presenting technical ideas clearly Proven leadership skills to drive initiatives, resolve conflicts, and motivate teams towards successful cloud adoption Location: Aargau, Switzerland Sector: Technology Start: ASAP Duration: 06MM+ Ref .Nr.: BH21572 Take the next step and send us your resume along with a daytime phone number where we can reach you. Due to Swiss work permit restrictions, we can only consider applications from Swiss nationals, EU citizens as well as current work-permit holders for Switzerland. Ukrainian refugees are warmly welcomed, we will support you all the way. We welcome applications from individuals of all genders, age groups, sexual orientations, personal expressions, ethnic backgrounds, and religious beliefs. Therefore, there is no requirement to provide gender information or a photo in your application. As per client requirements, we need information about your marital status, nationality, date of birth, and a valid Swiss work permit. For applicants with disabilities, we are happy to explore potential solutions with our end client.
Urgently seeking a Full Stack Developer, Initial 12 Month contract, and the role will be hybrid with 3 days requied on site in Basel, Switzerland. The client is looking for an experienced Full Stack Developer with strong foundation knowledge and a good way of thinking during design and troubleshooting exercises. You will be working on a challenging and interesting environment that builds and support strategic IT applications. Tasks & Responsibilities: Design and develop software using commonly used concepts and practices Deliver tested software using automated testing frameworks Collaborate with other developers in an Agile environment and be comfortable doing pair programming, code reviews and participating design discussion sessions Deliver high quality results in a complex environment and sometimes under pressure Must haves: Minimum 5 years of professional experience as a Developer. Strong Object-oriented programming knowledge - excellent knowledge of C#, .NET framework and .NET, experience in JavaScript and at least 1 year experience in React Able to solve complex problems by using commonly known design patterns (eg SOLID) Experience in modern UI component libraries like Ant design, Bootstrap or similar Experience in ORMs (Entity Framework especially) Experience with agile engineering practices like continuous integration, unit and integration testing, and deployment automation Nice to have: Experience in AngularJS or Angular MS/Oracle SQL experience (writing queries, debugging slow performing queries) Experience with DevOps practices Experience with Typescript Knowledge of UI development support tools (Gulp, NodeJS, NPM etc.) Knowledge in the concepts of User experience design (or have a passion for UX) Technical leadership experience would be a plus Michael Bailey International is acting as an Employment Business in relation to this vacancy.
17/05/2024
Project-based
Urgently seeking a Full Stack Developer, Initial 12 Month contract, and the role will be hybrid with 3 days requied on site in Basel, Switzerland. The client is looking for an experienced Full Stack Developer with strong foundation knowledge and a good way of thinking during design and troubleshooting exercises. You will be working on a challenging and interesting environment that builds and support strategic IT applications. Tasks & Responsibilities: Design and develop software using commonly used concepts and practices Deliver tested software using automated testing frameworks Collaborate with other developers in an Agile environment and be comfortable doing pair programming, code reviews and participating design discussion sessions Deliver high quality results in a complex environment and sometimes under pressure Must haves: Minimum 5 years of professional experience as a Developer. Strong Object-oriented programming knowledge - excellent knowledge of C#, .NET framework and .NET, experience in JavaScript and at least 1 year experience in React Able to solve complex problems by using commonly known design patterns (eg SOLID) Experience in modern UI component libraries like Ant design, Bootstrap or similar Experience in ORMs (Entity Framework especially) Experience with agile engineering practices like continuous integration, unit and integration testing, and deployment automation Nice to have: Experience in AngularJS or Angular MS/Oracle SQL experience (writing queries, debugging slow performing queries) Experience with DevOps practices Experience with Typescript Knowledge of UI development support tools (Gulp, NodeJS, NPM etc.) Knowledge in the concepts of User experience design (or have a passion for UX) Technical leadership experience would be a plus Michael Bailey International is acting as an Employment Business in relation to this vacancy.
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.
16/05/2024
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.
A global IT consultancy have an immediate need for a Power Platform Lead to join a project with a client in the Banking Industry. The ideal candidate will be an excellent communicator, have expertise with Power Platform Technologies as well as knowledge of programming languages such as C# or Java. Inside IR35 12 Month contract 2 days per week on site in London £400 per day Immediate Start Role Requirements: Experience in consulting and leading teams Experience of working in a mid-sized corporate environment, successfully aligning solutions appropriately with wider roadmaps, architecture, and other initiatives. Strong ability to collaborate with cross-functional teams, including business analysts, stakeholders, and other technical teams, to gather requirements and deliver solutions. Familiarity ideally with financially regulated business such as in Banking or Insurance markets. Experience in software engineering Experience in architecture and solution design Proficient in relevant programming languages such as C#, JavaScript, TypeScript, HTML, CSS, and .NET framework. Developing component designs and specification from a high-level solution architecture. Delivering code into, supporting, and extending resilient Continuous Integration (CI) and Continuous Deployment (CD) environments. Understanding of SDLC methodologies (eg, Agile, Scrum) and DevOps practices, CI/CD pipelines, and automated deployment processes. Experience in Power Platforms Proficiency in using and configuring Power Apps, Power Automate, Power BI, and Power Virtual Agents. Understanding of Azure services and how to utilize them for Data integration, data storage, and other related purposes. If you are interested in this role, please send a copy of your CV to (see below)
16/05/2024
Project-based
A global IT consultancy have an immediate need for a Power Platform Lead to join a project with a client in the Banking Industry. The ideal candidate will be an excellent communicator, have expertise with Power Platform Technologies as well as knowledge of programming languages such as C# or Java. Inside IR35 12 Month contract 2 days per week on site in London £400 per day Immediate Start Role Requirements: Experience in consulting and leading teams Experience of working in a mid-sized corporate environment, successfully aligning solutions appropriately with wider roadmaps, architecture, and other initiatives. Strong ability to collaborate with cross-functional teams, including business analysts, stakeholders, and other technical teams, to gather requirements and deliver solutions. Familiarity ideally with financially regulated business such as in Banking or Insurance markets. Experience in software engineering Experience in architecture and solution design Proficient in relevant programming languages such as C#, JavaScript, TypeScript, HTML, CSS, and .NET framework. Developing component designs and specification from a high-level solution architecture. Delivering code into, supporting, and extending resilient Continuous Integration (CI) and Continuous Deployment (CD) environments. Understanding of SDLC methodologies (eg, Agile, Scrum) and DevOps practices, CI/CD pipelines, and automated deployment processes. Experience in Power Platforms Proficiency in using and configuring Power Apps, Power Automate, Power BI, and Power Virtual Agents. Understanding of Azure services and how to utilize them for Data integration, data storage, and other related purposes. If you are interested in this role, please send a copy of your CV to (see below)
A Senior Developer (cloud platform) is required for our client based in Doncaster. This is mainly a remote position with a monthly visit to the office. Our client is looking for a Senior Developer or someone who is ready to take the next step in their career. The postholder will be responsible for the design, development and maintenance of digital solutions with a focus around CRM Netcalls low code platform (process, forms and workflows), Web/CMS integration, Back Office application integrations. The candidate will have experience in .NET, Cloud platforms, ICT operational frameworks and development life cycles such as Azure, ITIL, Azure DevOps & C# as well as examples of successful outcomes/deliveries using the AGILE methodology. Experience using Netcall's low code platform will be advantageous. This platform is designed to help organisations rapidly build and deploy custom applications, and the ideal candidate will have an understanding of its capabilities and how to leverage them to deliver effective digital solutions. Core responsibilities and duties will include: Designing, developing and maintaining, sustainable CRM processes, forms, workflows and Web integration, which innovate and add value, improving the services we provide. Responsibility for release management processes, ensuring any development and/or changes made within the digital services are released into the corporate production environments in a safe, controlled and secure way. Responsibility for defect resolution, ensuring development and changes made with in the digital services are appropriately tested to ensure they are functionally correct, meet requirements and do not break, damage or degrade the wider digital platform. Working with strategic leads to maintain an innovative technical platform, ensuring future technology and approaches are planned in line with the Digital Transformation agenda move forward. In return for your hard work and dedication, our client offers the chance to be part of a great team and have access to a variety of attractive employee benefits including competitive leave entitlement, local government pension scheme and access to a range of staff discount and flexible benefits schemes.
16/05/2024
Full time
A Senior Developer (cloud platform) is required for our client based in Doncaster. This is mainly a remote position with a monthly visit to the office. Our client is looking for a Senior Developer or someone who is ready to take the next step in their career. The postholder will be responsible for the design, development and maintenance of digital solutions with a focus around CRM Netcalls low code platform (process, forms and workflows), Web/CMS integration, Back Office application integrations. The candidate will have experience in .NET, Cloud platforms, ICT operational frameworks and development life cycles such as Azure, ITIL, Azure DevOps & C# as well as examples of successful outcomes/deliveries using the AGILE methodology. Experience using Netcall's low code platform will be advantageous. This platform is designed to help organisations rapidly build and deploy custom applications, and the ideal candidate will have an understanding of its capabilities and how to leverage them to deliver effective digital solutions. Core responsibilities and duties will include: Designing, developing and maintaining, sustainable CRM processes, forms, workflows and Web integration, which innovate and add value, improving the services we provide. Responsibility for release management processes, ensuring any development and/or changes made within the digital services are released into the corporate production environments in a safe, controlled and secure way. Responsibility for defect resolution, ensuring development and changes made with in the digital services are appropriately tested to ensure they are functionally correct, meet requirements and do not break, damage or degrade the wider digital platform. Working with strategic leads to maintain an innovative technical platform, ensuring future technology and approaches are planned in line with the Digital Transformation agenda move forward. In return for your hard work and dedication, our client offers the chance to be part of a great team and have access to a variety of attractive employee benefits including competitive leave entitlement, local government pension scheme and access to a range of staff discount and flexible benefits schemes.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking an AWS DevOps Software Engineer. Candidate will provide subject matter expertise for ongoing support of applications deployed to non-production AWS environments and supporting 3rd party applications. Identify root causes and automate solutions in support of development. Candidate will have a deep understanding of DevOps practices, leadership skills, and expertise in various tools and technologies. You will be working in a fast-paced, dynamic environment, using cutting-edge tools and cloud technologies. Manage day to day activities when called upon. Responsibilities: Desing Develop release and support, Cloud Native applications running on Containers Kubernetes and Docker within AWS. DevOps Strategy: Develop and implement DevOps strategies and best practices to enhance development, testing, and deployment processes. Possess in-depth knowledge and hands-on experience with DevOps tools and technologies, including but not limited to GitHub, Jenkins, Terraform, Ansible, Kafka, AWS, Apigee. Support the lower environments for incident and problem management. Resolve complex support issues in non-production environments. Create procedural and troubleshooting documentation related to cloud native applications. Write complex automation scripts using common automation tools, such as yaml, Json, Bash, Groovy, Ansible, Terraform and python, Perform other duties as assigned Qualifications: Excellent problem-solving skills. Ability to work independently. Ability to work with management to prioritize tasks. Demonstrate strong confidence in abilities and knowledge. Ability to work well in crisis situations. Ability to work under minimal supervision. Flexibility to be on call from 5 PM to 7 AM for 3 months per year. Good written and oral communication skills. Technical Skills: Expertise on Kubernetes and Docker, including best practices Expertise in cloud containerization; design, develop and troubleshoot Strong programming or Scripting skills in yaml, Helm Charts, Json, Bash, Groovy, Ansible, Terraform, python or Java. Advance level on Networking technologies CI/CD tools such as Artifactory, Jenkins, and GIT, SonarQube Experience with cloud-based systems such as AWS, Azure, or Google Cloud, including expertise in IaC and CaC; Ansible, Terraform Experience with Kafka infrastructure and processes Understanding of software development methodologies and Agile practices Excellent analytical and problem-solving skills, with the ability to troubleshoot and identify the root cause of issues Good verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams. Familiarity with monitoring and logging tools such Elk stack, Splunk. Familiarity with Technologies used to support microservices. Minimum 7 years experience working in a distributed multi-platform environment. Minimum 3 years experience working with Kubernetes. Minimum 3 years experience working on Scripting or Programming Bachelor's degree in a related area Cloud Certification a plus
16/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking an AWS DevOps Software Engineer. Candidate will provide subject matter expertise for ongoing support of applications deployed to non-production AWS environments and supporting 3rd party applications. Identify root causes and automate solutions in support of development. Candidate will have a deep understanding of DevOps practices, leadership skills, and expertise in various tools and technologies. You will be working in a fast-paced, dynamic environment, using cutting-edge tools and cloud technologies. Manage day to day activities when called upon. Responsibilities: Desing Develop release and support, Cloud Native applications running on Containers Kubernetes and Docker within AWS. DevOps Strategy: Develop and implement DevOps strategies and best practices to enhance development, testing, and deployment processes. Possess in-depth knowledge and hands-on experience with DevOps tools and technologies, including but not limited to GitHub, Jenkins, Terraform, Ansible, Kafka, AWS, Apigee. Support the lower environments for incident and problem management. Resolve complex support issues in non-production environments. Create procedural and troubleshooting documentation related to cloud native applications. Write complex automation scripts using common automation tools, such as yaml, Json, Bash, Groovy, Ansible, Terraform and python, Perform other duties as assigned Qualifications: Excellent problem-solving skills. Ability to work independently. Ability to work with management to prioritize tasks. Demonstrate strong confidence in abilities and knowledge. Ability to work well in crisis situations. Ability to work under minimal supervision. Flexibility to be on call from 5 PM to 7 AM for 3 months per year. Good written and oral communication skills. Technical Skills: Expertise on Kubernetes and Docker, including best practices Expertise in cloud containerization; design, develop and troubleshoot Strong programming or Scripting skills in yaml, Helm Charts, Json, Bash, Groovy, Ansible, Terraform, python or Java. Advance level on Networking technologies CI/CD tools such as Artifactory, Jenkins, and GIT, SonarQube Experience with cloud-based systems such as AWS, Azure, or Google Cloud, including expertise in IaC and CaC; Ansible, Terraform Experience with Kafka infrastructure and processes Understanding of software development methodologies and Agile practices Excellent analytical and problem-solving skills, with the ability to troubleshoot and identify the root cause of issues Good verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams. Familiarity with monitoring and logging tools such Elk stack, Splunk. Familiarity with Technologies used to support microservices. Minimum 7 years experience working in a distributed multi-platform environment. Minimum 3 years experience working with Kubernetes. Minimum 3 years experience working on Scripting or Programming Bachelor's degree in a related area Cloud Certification a plus