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.
Job Title: Technology Architect Location: UK/London, Remote Salary : 80-90K Contract Type: Full Time About The Company You will be joining a team of creators and champions of the best British TV, and hosts to the world's largest collection. Who are on a mission to bring the most engaging and relevant British TV experience to fans all around the world. Job Purpose This creative company is on the lookout for a dynamic Technology Architect to join their passionate team, focusing on creating and refining scalable video streaming products with a global scope. This pivotal role is Embedded within a diverse and skilled team, where creativity, collaboration, and a commitment to quality are highly valued. As a Technology Architect, you'll play a crucial role in both contributing to and shaping the team's strategy and technological direction. Your responsibilities will include working closely with the Lead Solution Architect in a hands-on capacity, directly influencing and shaping their pioneering global video streaming services. You'll engage in various projects, from enhancing current streaming platforms to designing innovative solutions for global content delivery, ensuring that the organisation continue to offer top tier streaming experiences. A Technical Architect would: Have a solid understanding of cloud services like AWS or MSFT Azure and how they can be leveraged in different scenarios. Translate technical requirements into detailed architecture for robust and scalable systems. Work closely with development teams to understand their needs and assist in implementing CI/CD pipelines. Have experience with software development processes and be able to guide and support teams in adhering to best practices. Act as a bridge between the technical team and the Lead Solution Architect, ensuring that the technical details align with the overall solution architecture. Responsibilities Technical Leadership Collaborate closely with the Lead Architect and act as a key member in technology sessions, providing technical expertise and oversight on new and existing solutions. Oversee 3rd party application architectures and integration's while ensuring best practices and compliance with corporate policies and standards. Demonstrate the ability to work autonomously, taking direction and executing with precision. Provide technical oversight to product development, support, and quality assurance teams. Analyse existing systems and identify areas for improvement or optimization. Evaluate new technologies and trends to propose enhancements or updates to the current systems. Knowledge and experience with specific technologies and tools, such as Kubernetes, Docker, .Net, Python, or Node.js, are highly desirable. Business & Analysis Monitor service operations performance, ensuring core KPIs are met. Oversee SLA reporting and conduct ad hoc analysis, providing transparency into the global technology stack's performance. Act as an internal technology consultant, leading and managing strategic projects with a proactive approach. Collaborate across all stakeholder teams to understand business needs and goals. Document and prioritise requirements alongside the product team, with consideration for both functional and non-functional aspects. Develop detailed use cases and user stories that outline specific interactions and workflows. Skills and Personal Attributes Strong analytical skills to assess and resolve issues quickly and effectively. Demonstrable experience in Software Engineering and Architecture. Ability to translate business and operational requirements into solution designs. Strong communication skills and the ability to work autonomously given direction. Proactivity and a strong desire to take initiative. Familiarity with Agile working practices. Willingness to learn and adapt to new technologies and changes. Effectively managing one's own time and prioritising tasks to meet deadlines. Understanding and respect for diverse cultures and practices. Qualifications and Experience AWS Certified Solutions Architect-Associate or Professional is highly desirable. Mid-level experience in software design patterns and cloud-based solutions. Must have experience with AWS; knowledge of Azure is a plus. Experience in developing direct-to-consumer technologies and cloud-scale microservices development. Experience with OTT (Over-The-Top) is a strong plus. Knowledge of scalable digital consumer product architectures, preferably in SVOD and/or media supply chain areas Familiarity with connected TV platforms (Roku, tvOS, Samsung, LG, etc.) and mobile applications (iOS, Android), with an emphasis on understanding their architectures and integrations rather than hands-on development. If you are looking for a new opportunity and interested in thus role then please apply today! Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
17/05/2024
Full time
Job Title: Technology Architect Location: UK/London, Remote Salary : 80-90K Contract Type: Full Time About The Company You will be joining a team of creators and champions of the best British TV, and hosts to the world's largest collection. Who are on a mission to bring the most engaging and relevant British TV experience to fans all around the world. Job Purpose This creative company is on the lookout for a dynamic Technology Architect to join their passionate team, focusing on creating and refining scalable video streaming products with a global scope. This pivotal role is Embedded within a diverse and skilled team, where creativity, collaboration, and a commitment to quality are highly valued. As a Technology Architect, you'll play a crucial role in both contributing to and shaping the team's strategy and technological direction. Your responsibilities will include working closely with the Lead Solution Architect in a hands-on capacity, directly influencing and shaping their pioneering global video streaming services. You'll engage in various projects, from enhancing current streaming platforms to designing innovative solutions for global content delivery, ensuring that the organisation continue to offer top tier streaming experiences. A Technical Architect would: Have a solid understanding of cloud services like AWS or MSFT Azure and how they can be leveraged in different scenarios. Translate technical requirements into detailed architecture for robust and scalable systems. Work closely with development teams to understand their needs and assist in implementing CI/CD pipelines. Have experience with software development processes and be able to guide and support teams in adhering to best practices. Act as a bridge between the technical team and the Lead Solution Architect, ensuring that the technical details align with the overall solution architecture. Responsibilities Technical Leadership Collaborate closely with the Lead Architect and act as a key member in technology sessions, providing technical expertise and oversight on new and existing solutions. Oversee 3rd party application architectures and integration's while ensuring best practices and compliance with corporate policies and standards. Demonstrate the ability to work autonomously, taking direction and executing with precision. Provide technical oversight to product development, support, and quality assurance teams. Analyse existing systems and identify areas for improvement or optimization. Evaluate new technologies and trends to propose enhancements or updates to the current systems. Knowledge and experience with specific technologies and tools, such as Kubernetes, Docker, .Net, Python, or Node.js, are highly desirable. Business & Analysis Monitor service operations performance, ensuring core KPIs are met. Oversee SLA reporting and conduct ad hoc analysis, providing transparency into the global technology stack's performance. Act as an internal technology consultant, leading and managing strategic projects with a proactive approach. Collaborate across all stakeholder teams to understand business needs and goals. Document and prioritise requirements alongside the product team, with consideration for both functional and non-functional aspects. Develop detailed use cases and user stories that outline specific interactions and workflows. Skills and Personal Attributes Strong analytical skills to assess and resolve issues quickly and effectively. Demonstrable experience in Software Engineering and Architecture. Ability to translate business and operational requirements into solution designs. Strong communication skills and the ability to work autonomously given direction. Proactivity and a strong desire to take initiative. Familiarity with Agile working practices. Willingness to learn and adapt to new technologies and changes. Effectively managing one's own time and prioritising tasks to meet deadlines. Understanding and respect for diverse cultures and practices. Qualifications and Experience AWS Certified Solutions Architect-Associate or Professional is highly desirable. Mid-level experience in software design patterns and cloud-based solutions. Must have experience with AWS; knowledge of Azure is a plus. Experience in developing direct-to-consumer technologies and cloud-scale microservices development. Experience with OTT (Over-The-Top) is a strong plus. Knowledge of scalable digital consumer product architectures, preferably in SVOD and/or media supply chain areas Familiarity with connected TV platforms (Roku, tvOS, Samsung, LG, etc.) and mobile applications (iOS, Android), with an emphasis on understanding their architectures and integrations rather than hands-on development. If you are looking for a new opportunity and interested in thus role then please apply today! Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are 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 Principal Java Risk Management Software Engineer. Candidate will develop and maintain 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. Candidate will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand the technical capabilities for model development, back-testing and monitoring. Responsibilities: Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, 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. 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 Principal Java Risk Management Software Engineer. Candidate will develop and maintain 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. Candidate will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand the technical capabilities for model development, back-testing and monitoring. Responsibilities: Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, 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. 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.
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.
Director, Software Engineering - Quantitative Risk Management Applications SALARY: $200k - $230k flex plus 27% bonus LOCATION: Chicago, il Hybrid 3 days onsite, 2 days remote You will manage six plus people and help build the framewrok within the quantitative management platform developing software applications and solutions. Java C++ python automation devops cicd aws terraform Kubernetes SQL docker helm masters or Phd This role is responsible for one or more functions within Quantitative Risk Management (QRM) who develops and maintains 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. This role will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, backtesting 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, backtesting and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. 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. 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. Education and/or Experience: 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
16/05/2024
Full time
Director, Software Engineering - Quantitative Risk Management Applications SALARY: $200k - $230k flex plus 27% bonus LOCATION: Chicago, il Hybrid 3 days onsite, 2 days remote You will manage six plus people and help build the framewrok within the quantitative management platform developing software applications and solutions. Java C++ python automation devops cicd aws terraform Kubernetes SQL docker helm masters or Phd This role is responsible for one or more functions within Quantitative Risk Management (QRM) who develops and maintains 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. This role will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, backtesting 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, backtesting and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. 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. 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. Education and/or Experience: 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
Platform Engineer vacancy requiring profound API and Streaming platforms knowledge for our Zurich based client in the financial sector . Your tasks: Designing, developing, and maintaining high-performance APIs and streaming solutions to support our platform's functionality and scalability requirements Collaborating with product managers, software engineers, and other stakeholders to define API specifications, integration requirements, and streaming protocols Implementing best practices for API design, including versioning, authentication, authorization, and documentation to ensure developer-friendly interfaces Architecting and optimizing microservices-based systems to enable efficient data streaming, Real Time processing, and event-driven architectures Troubleshooting and debugging complex issues related to API integrations, data streaming, and platform performance, and implementing effective solutions Your experience/knowledge: Proficiency in programming languages such as Java, Python, or Go, and experience with API frameworks Experience with streaming technologies like Kafka, Apigee, Apache Flink, or Spark Streaming, and Real Time data processing frameworks Strong understanding of microservices architecture, containerization and cloud computing platforms Solid understanding of API security best practices, OAuth, JWT, and API gateway technologies Language skills: English - fluent in written and spoken Your soft skills: Excellent problem-solving skills, attention to detail, and ability to thrive in a fast-paced, collaborative environment Effective communication skills and ability to articulate technical concepts to non-technical stakeholders Location: Zurich, Switzerland Sector: Financial Start: ASAP Duration: 12MM+ Ref .Nr.: BH21638 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.
16/05/2024
Project-based
Platform Engineer vacancy requiring profound API and Streaming platforms knowledge for our Zurich based client in the financial sector . Your tasks: Designing, developing, and maintaining high-performance APIs and streaming solutions to support our platform's functionality and scalability requirements Collaborating with product managers, software engineers, and other stakeholders to define API specifications, integration requirements, and streaming protocols Implementing best practices for API design, including versioning, authentication, authorization, and documentation to ensure developer-friendly interfaces Architecting and optimizing microservices-based systems to enable efficient data streaming, Real Time processing, and event-driven architectures Troubleshooting and debugging complex issues related to API integrations, data streaming, and platform performance, and implementing effective solutions Your experience/knowledge: Proficiency in programming languages such as Java, Python, or Go, and experience with API frameworks Experience with streaming technologies like Kafka, Apigee, Apache Flink, or Spark Streaming, and Real Time data processing frameworks Strong understanding of microservices architecture, containerization and cloud computing platforms Solid understanding of API security best practices, OAuth, JWT, and API gateway technologies Language skills: English - fluent in written and spoken Your soft skills: Excellent problem-solving skills, attention to detail, and ability to thrive in a fast-paced, collaborative environment Effective communication skills and ability to articulate technical concepts to non-technical stakeholders Location: Zurich, Switzerland Sector: Financial Start: ASAP Duration: 12MM+ Ref .Nr.: BH21638 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.
Contract - UC4 Automation Engineer Rate: Open Location: Chicago, IL Hybrid: 3 days on-site, 2 days remote Qualifications Python Scripting SDET automation testing skills/QA automation engineering Experience with Performance Engineering concepts and methodologies as well as cloud technologies and migrations using public cloud vendor preferably using cloud foundational services like AWS's VPCs, Solid utility building with Python, Perl and Powershell. Test automation using CI/CD concepts. Languages & Technologies: Java, Kafka, Docker, Kubernetes, DB2, CyberArk, Harness, JIRA, Jenkins, Splunk, Confluence, Git, JSON, API Testing, Cucumber, Selenium, Terraform, Ansible, Veracode, Virtualan, UC4, Change Data Capture, Docker, AWS/Google/Azure Cloud, Open API/Swagger, SOAP Web Service(JAX-WS), Restful Web Service (JAX-RS), Apache-CXF, Spring-Core, Spring WS, Spring Transaction, Spring-Integration, JDBC, Shell Scripting, XML, JavaScript, SQL, Python, JMeter, Gatling, Perl, PowerShell. SignalFX, AppDynamics. Software tools and Utilities: Jenkins, Kubernetes, Enterprise Architect (EA), Enterprise Manager-UM, SQL Developer, JConsole, Visual Studio, JMeter, Bitbucket, Git, CVS, SVN, PuTTy, Microsoft Visio, TOAD, SourceTree, JIRA, Confluence, Sonar, Bamboo, Splunk, Automic (UC4), Apache Kafka, LogicMonitor, BMC MainView, Real Time, and Historical monitoring tools on-prem and in the Cloud. Web Servers/App. Servers/Containers Experience; Database Technologies: DB2, PostgreSQL Responsibilities Performance Testing with open-source tools like JMeter, Gatling. Perl Scripting, PowerShell Scripting, solid Python Scripting and Java. Setting up of parallel testing environments that will be used to compare existing system business processes and data to a new cloud-based system/platform. Goal is to ensure that new system is producing correct results and performing as expected before it can become the official system of record. The ability to take raw data, mask it and create algorithms and solutions that increase the data load that will feed into our new Clearing System and with no issues, duplicates or any other data issues that will cause it to be rejected. Assist in the set up and maintenance of cloud-based performance and functional test environments in the Cloud (AWS) and define the steps to automate the process for continuous testing and iterations of cycles.
14/05/2024
Project-based
Contract - UC4 Automation Engineer Rate: Open Location: Chicago, IL Hybrid: 3 days on-site, 2 days remote Qualifications Python Scripting SDET automation testing skills/QA automation engineering Experience with Performance Engineering concepts and methodologies as well as cloud technologies and migrations using public cloud vendor preferably using cloud foundational services like AWS's VPCs, Solid utility building with Python, Perl and Powershell. Test automation using CI/CD concepts. Languages & Technologies: Java, Kafka, Docker, Kubernetes, DB2, CyberArk, Harness, JIRA, Jenkins, Splunk, Confluence, Git, JSON, API Testing, Cucumber, Selenium, Terraform, Ansible, Veracode, Virtualan, UC4, Change Data Capture, Docker, AWS/Google/Azure Cloud, Open API/Swagger, SOAP Web Service(JAX-WS), Restful Web Service (JAX-RS), Apache-CXF, Spring-Core, Spring WS, Spring Transaction, Spring-Integration, JDBC, Shell Scripting, XML, JavaScript, SQL, Python, JMeter, Gatling, Perl, PowerShell. SignalFX, AppDynamics. Software tools and Utilities: Jenkins, Kubernetes, Enterprise Architect (EA), Enterprise Manager-UM, SQL Developer, JConsole, Visual Studio, JMeter, Bitbucket, Git, CVS, SVN, PuTTy, Microsoft Visio, TOAD, SourceTree, JIRA, Confluence, Sonar, Bamboo, Splunk, Automic (UC4), Apache Kafka, LogicMonitor, BMC MainView, Real Time, and Historical monitoring tools on-prem and in the Cloud. Web Servers/App. Servers/Containers Experience; Database Technologies: DB2, PostgreSQL Responsibilities Performance Testing with open-source tools like JMeter, Gatling. Perl Scripting, PowerShell Scripting, solid Python Scripting and Java. Setting up of parallel testing environments that will be used to compare existing system business processes and data to a new cloud-based system/platform. Goal is to ensure that new system is producing correct results and performing as expected before it can become the official system of record. The ability to take raw data, mask it and create algorithms and solutions that increase the data load that will feed into our new Clearing System and with no issues, duplicates or any other data issues that will cause it to be rejected. Assist in the set up and maintenance of cloud-based performance and functional test environments in the Cloud (AWS) and define the steps to automate the process for continuous testing and iterations of cycles.
Global Enterprise Partners is currently looking for an Oracle DBA for our client in the Financial services industry in Utrecht, The Netherlands As part of a DevOps team you will be supporting, designing, building, and automating the Oracle environment. Products supported within that environment include Oracle databases, Oracle Enterprise Manager, Oracle Internet Directory and Oracle Engineered Systems. ROLE You engineer the solution to be compliant with the regulatory requirements and take care of embedding the solution into the Rabobank Infrastructure and code automation environment. A part of the workload will be developing the infrastructure to support our CI/CD pipeline based on products such as Git, Ansible and Python and make it available to customers. Your day-to-day activities range from actual engineering the pipeline and coding automation scripts, but also engineering new or adapted solutions for our banking organization. As part of a self-steering service delivery team, you are responsible for the operation of our Oracle database infrastructure, which is mostly delivered on Oracle Exadata and a small number on commodity hardware. Keeping our environments, standards, and documents up to date is part of the job. Who are you You are an experienced (at least 5 years) Oracle focused DevOps engineer with extensive security knowledge and like to work in a DevOps team in a complex environment. You get enthusiastic when talking about (test-) automation options (Ansible, Python, API's, Rest, PyTest, Rspec or other). But also, a simple task automation will have your full attention You are willing to share knowledge and experience You understand that the "Cloud" will be a very large part of any infrastructure solution. You see the big picture but like to go in the details to solve complex integration issues. You are a team player who can cooperate with everybody. You like feedback as this is used to improve yourself and your team to become even better. Your English language needs to be at proficient level (B2) What you bring Must have: Good knowledge of Oracle RDBMS Technology stack products Good knowledge of Oracle Enterprise Manager Knowledge of Oracle Exadata and ZFS (Infrastructure) Knowledge of Oracle Enterprise Linux and virtualization Knowledge of Oracle Internet Directory, LDAP Knowledge of Networking Extensive experience with automation (Ansible, Azure DevOps and Python) Preferable working experience with Arcsight, Splunk and Qualys In addition to the technical skills, knowledge and experience in the following areas: Service management (ITIL) Risk, security and compliance Documentation and Knowledge Sharing Requirement analyses and Detailed design Testing And the following competence related qualities: Experience with DevOps and working Scrum (sprint planning, review, daily, retro) Customer-centric Take ownership and Result-oriented Collaboration Are you interested in this opportunity and do you meet the requirements? Please contact Marco Eindhoven of Global Enterprise Partners.
14/05/2024
Project-based
Global Enterprise Partners is currently looking for an Oracle DBA for our client in the Financial services industry in Utrecht, The Netherlands As part of a DevOps team you will be supporting, designing, building, and automating the Oracle environment. Products supported within that environment include Oracle databases, Oracle Enterprise Manager, Oracle Internet Directory and Oracle Engineered Systems. ROLE You engineer the solution to be compliant with the regulatory requirements and take care of embedding the solution into the Rabobank Infrastructure and code automation environment. A part of the workload will be developing the infrastructure to support our CI/CD pipeline based on products such as Git, Ansible and Python and make it available to customers. Your day-to-day activities range from actual engineering the pipeline and coding automation scripts, but also engineering new or adapted solutions for our banking organization. As part of a self-steering service delivery team, you are responsible for the operation of our Oracle database infrastructure, which is mostly delivered on Oracle Exadata and a small number on commodity hardware. Keeping our environments, standards, and documents up to date is part of the job. Who are you You are an experienced (at least 5 years) Oracle focused DevOps engineer with extensive security knowledge and like to work in a DevOps team in a complex environment. You get enthusiastic when talking about (test-) automation options (Ansible, Python, API's, Rest, PyTest, Rspec or other). But also, a simple task automation will have your full attention You are willing to share knowledge and experience You understand that the "Cloud" will be a very large part of any infrastructure solution. You see the big picture but like to go in the details to solve complex integration issues. You are a team player who can cooperate with everybody. You like feedback as this is used to improve yourself and your team to become even better. Your English language needs to be at proficient level (B2) What you bring Must have: Good knowledge of Oracle RDBMS Technology stack products Good knowledge of Oracle Enterprise Manager Knowledge of Oracle Exadata and ZFS (Infrastructure) Knowledge of Oracle Enterprise Linux and virtualization Knowledge of Oracle Internet Directory, LDAP Knowledge of Networking Extensive experience with automation (Ansible, Azure DevOps and Python) Preferable working experience with Arcsight, Splunk and Qualys In addition to the technical skills, knowledge and experience in the following areas: Service management (ITIL) Risk, security and compliance Documentation and Knowledge Sharing Requirement analyses and Detailed design Testing And the following competence related qualities: Experience with DevOps and working Scrum (sprint planning, review, daily, retro) Customer-centric Take ownership and Result-oriented Collaboration Are you interested in this opportunity and do you meet the requirements? Please contact Marco Eindhoven of Global Enterprise Partners.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Enterprise Financial Institution is currently seeking a Atlassian SaaS Platform Administrator Candidate will coach others through education of platform development best practice. The Software Engineer must have a background in SaaS/Low-Code implementation, system administration and can help others to contribute to platform improvements. Responsibilities: Provide technical leadership for planning, designing, installing, testing, and implementing solutions. Provide subject matter expertise on the SDLC platforms we maintain (Confluence, Jira, SpiraTest). Implementing Atlassian plugins and supporting integration with other enterprise software. Ensure best practice adherence for core system development, security, tuning and performance. Supports Knowledge Management (KM) program strategy, transformation, and technical implementation. Creates knowledge documentation related to requirements and solution design. Facilitates knowledge transfer sessions for administration and self-service. Develop a train the trainer model for support and administration. Overall ownership of solution implementation and working with the team to ensure quality solutions that provide delightful experiences. Ensure systems and process compliance to regulatory and organizational requirements. Ability to stay on top of industry trends and best practices and propose process and tool changes to take advantage of new developments in the industry. Qualifications: [Required] 5+ years of working experience in IT. [Required] 3+ years of experience in implementing Atlassian products. [Required] Experience with RESTful APIs, JSON, and XML. [Required] Experience with Agile/Scrum or DevOps methodologies. [Preferred] Experience working in Financial Services or otherwise regulated environment. [Preferred] Experience working with SharePoint. [Preferred] Experience with SQL, Python, PowerShell, or other Scripting languages [Preferred] Experience with System and Data Architecture [Preferred] Experience or knowledge of SDLC pipeline tools such as Git, Jenkins, SonarQube or similar tools Technical Skills: Problem-solving skills and solution-oriented attitude. Requires a complete understanding of the system development life cycle. Highly motivated to learn new things and motivated by challenges. Using analysis and critical thinking skills to determine and assess the needs of the user and then create software to meet the requirements. Proactive attitude in automating processes as much as possible. Ability to understand the strategic goals of the platforms we support and evaluate customer requests in that context. Providing clear instructions to the project team, clearly explaining how the software works to the customer and being available to answer any questions that may arise using exceptional communication skills. Working well with others on the team using effective interpersonal skills. Being able to efficiently identify and resolve issues that arise during the design, testing and maintenance processes using problem-solving skills. Experience: Bachelors degree in a STEM field preferred, 4 years of additional related work experience may be substituted for degree. 3-5 years of experience of SaaS platform implementation and/or system administration. 3+ years of hands-on experience developing and maintaining cloud platform technologies. Certifications in Atlassian products are preferred. Low code/COTS implementation certifications are desired.
13/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Enterprise Financial Institution is currently seeking a Atlassian SaaS Platform Administrator Candidate will coach others through education of platform development best practice. The Software Engineer must have a background in SaaS/Low-Code implementation, system administration and can help others to contribute to platform improvements. Responsibilities: Provide technical leadership for planning, designing, installing, testing, and implementing solutions. Provide subject matter expertise on the SDLC platforms we maintain (Confluence, Jira, SpiraTest). Implementing Atlassian plugins and supporting integration with other enterprise software. Ensure best practice adherence for core system development, security, tuning and performance. Supports Knowledge Management (KM) program strategy, transformation, and technical implementation. Creates knowledge documentation related to requirements and solution design. Facilitates knowledge transfer sessions for administration and self-service. Develop a train the trainer model for support and administration. Overall ownership of solution implementation and working with the team to ensure quality solutions that provide delightful experiences. Ensure systems and process compliance to regulatory and organizational requirements. Ability to stay on top of industry trends and best practices and propose process and tool changes to take advantage of new developments in the industry. Qualifications: [Required] 5+ years of working experience in IT. [Required] 3+ years of experience in implementing Atlassian products. [Required] Experience with RESTful APIs, JSON, and XML. [Required] Experience with Agile/Scrum or DevOps methodologies. [Preferred] Experience working in Financial Services or otherwise regulated environment. [Preferred] Experience working with SharePoint. [Preferred] Experience with SQL, Python, PowerShell, or other Scripting languages [Preferred] Experience with System and Data Architecture [Preferred] Experience or knowledge of SDLC pipeline tools such as Git, Jenkins, SonarQube or similar tools Technical Skills: Problem-solving skills and solution-oriented attitude. Requires a complete understanding of the system development life cycle. Highly motivated to learn new things and motivated by challenges. Using analysis and critical thinking skills to determine and assess the needs of the user and then create software to meet the requirements. Proactive attitude in automating processes as much as possible. Ability to understand the strategic goals of the platforms we support and evaluate customer requests in that context. Providing clear instructions to the project team, clearly explaining how the software works to the customer and being available to answer any questions that may arise using exceptional communication skills. Working well with others on the team using effective interpersonal skills. Being able to efficiently identify and resolve issues that arise during the design, testing and maintenance processes using problem-solving skills. Experience: Bachelors degree in a STEM field preferred, 4 years of additional related work experience may be substituted for degree. 3-5 years of experience of SaaS platform implementation and/or system administration. 3+ years of hands-on experience developing and maintaining cloud platform technologies. Certifications in Atlassian products are preferred. Low code/COTS implementation certifications are desired.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Enterprise Financial Institution is currently seeking a Atlassian SaaS Platform Administrator. Candidate will coach others through education of platform development best practice. The Software Engineer must have a background in SaaS/Low-Code implementation, system administration and can help others to contribute to platform improvements. Responsibilities: Provide technical leadership for planning, designing, installing, testing, and implementing solutions. Provide subject matter expertise on the SDLC platforms we maintain (Confluence, Jira, SpiraTest). Implementing Atlassian plugins and supporting integration with other enterprise software. Ensure best practice adherence for core system development, security, tuning and performance. Supports Knowledge Management (KM) program strategy, transformation, and technical implementation. Creates knowledge documentation related to requirements and solution design. Facilitates knowledge transfer sessions for administration and self-service. Develop a train the trainer model for support and administration. Overall ownership of solution implementation and working with the team to ensure quality solutions that provide delightful experiences. Ensure systems and process compliance to regulatory and organizational requirements. Ability to stay on top of industry trends and best practices and propose process and tool changes to take advantage of new developments in the industry. Qualifications: [Required] 5+ years of working experience in IT. [Required] 3+ years of experience in implementing Atlassian products. [Required] Experience with RESTful APIs, JSON, and XML. [Required] Experience with Agile/Scrum or DevOps methodologies. [Preferred] Experience working in Financial Services or otherwise regulated environment. [Preferred] Experience working with SharePoint. [Preferred] Experience with SQL, Python, PowerShell, or other Scripting languages [Preferred] Experience with System and Data Architecture [Preferred] Experience or knowledge of SDLC pipeline tools such as Git, Jenkins, SonarQube or similar tools Technical Skills: Problem-solving skills and solution-oriented attitude. Requires a complete understanding of the system development life cycle. Highly motivated to learn new things and motivated by challenges. Using analysis and critical thinking skills to determine and assess the needs of the user and then create software to meet the requirements. Proactive attitude in automating processes as much as possible. Ability to understand the strategic goals of the platforms we support and evaluate customer requests in that context. Providing clear instructions to the project team, clearly explaining how the software works to the customer and being available to answer any questions that may arise using exceptional communication skills. Working well with others on the team using effective interpersonal skills. Being able to efficiently identify and resolve issues that arise during the design, testing and maintenance processes using problem-solving skills. Experience: Bachelors degree in a STEM field preferred, 4 years of additional related work experience may be substituted for degree. 3-5 years of experience of SaaS platform implementation and/or system administration. 3+ years of hands-on experience developing and maintaining cloud platform technologies. Certifications in Atlassian products are preferred. Low code/COTS implementation certifications are desired.
13/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Enterprise Financial Institution is currently seeking a Atlassian SaaS Platform Administrator. Candidate will coach others through education of platform development best practice. The Software Engineer must have a background in SaaS/Low-Code implementation, system administration and can help others to contribute to platform improvements. Responsibilities: Provide technical leadership for planning, designing, installing, testing, and implementing solutions. Provide subject matter expertise on the SDLC platforms we maintain (Confluence, Jira, SpiraTest). Implementing Atlassian plugins and supporting integration with other enterprise software. Ensure best practice adherence for core system development, security, tuning and performance. Supports Knowledge Management (KM) program strategy, transformation, and technical implementation. Creates knowledge documentation related to requirements and solution design. Facilitates knowledge transfer sessions for administration and self-service. Develop a train the trainer model for support and administration. Overall ownership of solution implementation and working with the team to ensure quality solutions that provide delightful experiences. Ensure systems and process compliance to regulatory and organizational requirements. Ability to stay on top of industry trends and best practices and propose process and tool changes to take advantage of new developments in the industry. Qualifications: [Required] 5+ years of working experience in IT. [Required] 3+ years of experience in implementing Atlassian products. [Required] Experience with RESTful APIs, JSON, and XML. [Required] Experience with Agile/Scrum or DevOps methodologies. [Preferred] Experience working in Financial Services or otherwise regulated environment. [Preferred] Experience working with SharePoint. [Preferred] Experience with SQL, Python, PowerShell, or other Scripting languages [Preferred] Experience with System and Data Architecture [Preferred] Experience or knowledge of SDLC pipeline tools such as Git, Jenkins, SonarQube or similar tools Technical Skills: Problem-solving skills and solution-oriented attitude. Requires a complete understanding of the system development life cycle. Highly motivated to learn new things and motivated by challenges. Using analysis and critical thinking skills to determine and assess the needs of the user and then create software to meet the requirements. Proactive attitude in automating processes as much as possible. Ability to understand the strategic goals of the platforms we support and evaluate customer requests in that context. Providing clear instructions to the project team, clearly explaining how the software works to the customer and being available to answer any questions that may arise using exceptional communication skills. Working well with others on the team using effective interpersonal skills. Being able to efficiently identify and resolve issues that arise during the design, testing and maintenance processes using problem-solving skills. Experience: Bachelors degree in a STEM field preferred, 4 years of additional related work experience may be substituted for degree. 3-5 years of experience of SaaS platform implementation and/or system administration. 3+ years of hands-on experience developing and maintaining cloud platform technologies. Certifications in Atlassian products are preferred. Low code/COTS implementation certifications are desired.
ASSOCIATE PRINCIPAL, APPIAN SOFTWARE ENGINEERING SALARY: $140k - $145k - $152k plus 15% bonus LOCATION: Chicago, IL Hybrid 3 days onsite, 2 days remote Looking for someone to design development testing and do the implementation of appian software. You will need 5 years Front End user experience, JavaScript automating workflows inside appian aws unix linux Java python node js angular 2.0 or react js and Middleware technologies. Working knowledge of devops terraform ansible Jenkins Kubernetes helm and cicd pipelines. Must have a degree and be apian certified developer required Contribute to design, technical direction and architecture including collaborating with various teams to build fit for purpose solutions. Applies expert knowledge of Java, Python, JavaScript, NodeJS, Angular 2.0 or ReactJS and middle-ware technologies in independently designing and developing key services with a focus on continuous integration and delivery Participates in code reviews, proactively identifying and mitigating potential issues and defects as well as assisting with continuous improvement Drives continuous improvement efforts by identifying and championing practical means of reducing time to market while maintaining high quality Qualifications: 5+ years of Front End, User Experience, development (required) 5+ years of experience in JavaScript skills (required) 3 + years of experience automating workflows inside Appian and in conjunction with integration to other tools (required) 3+ years of experience in React application development (required) 3+ years of hands-on HTML5/CSS3 experience (required) Experience with Java and/or Python (required) Experience with popular Javascript frameworks such as React, Node JS, Vue, Angular 2.0 (required) Experience of working with websockets, HTTP 1.1 and HTTP/2 (required) Experience with RESTful APIs and JSON RPC (required) Ability to write clean, bug-free code that is easy to understand and easily maintainable (required) Experience with BDD methodologies & automated acceptance testing (required) Technical Skills: 5+ years hands-on experience in Java, including good understanding of Java fundamentals such as Memory Model, Runtime Environment, Concurrency and Multithreading (required) Past/Current experience of 3+ years working on a large scale cloud native project (platform: Unix/Linux, Type of Systems: event-driven/transaction processing/high performance computing) as Technical Lead. These experiences should include developing/architecting core libraries or framework used by the platform to support fundamental services like storage, alert notifications, security, etc. (required) Appian Process Modeling, Smart Services, Rules and Tempo event services, database, and Web services (required) Experience with cloud technologies and migrations using public cloud vendor preferably using cloud foundational services like AWS's VPCs, Security groups, EC2, RDS, S3 ACLs, KMS, AWS CLI and IAM etc. (required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. (required) Experience working with various types of databases like Relational, NoSQL, Object-based, Graph (required) Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc (required) Familiarity with monitoring related tools and frameworks like Splunk, ElasticSearch, Prometheus, AppDynamics (required) Education and/or Experience: BS degree in Computer Science, similar technical field Appian certified developer
13/05/2024
Full time
ASSOCIATE PRINCIPAL, APPIAN SOFTWARE ENGINEERING SALARY: $140k - $145k - $152k plus 15% bonus LOCATION: Chicago, IL Hybrid 3 days onsite, 2 days remote Looking for someone to design development testing and do the implementation of appian software. You will need 5 years Front End user experience, JavaScript automating workflows inside appian aws unix linux Java python node js angular 2.0 or react js and Middleware technologies. Working knowledge of devops terraform ansible Jenkins Kubernetes helm and cicd pipelines. Must have a degree and be apian certified developer required Contribute to design, technical direction and architecture including collaborating with various teams to build fit for purpose solutions. Applies expert knowledge of Java, Python, JavaScript, NodeJS, Angular 2.0 or ReactJS and middle-ware technologies in independently designing and developing key services with a focus on continuous integration and delivery Participates in code reviews, proactively identifying and mitigating potential issues and defects as well as assisting with continuous improvement Drives continuous improvement efforts by identifying and championing practical means of reducing time to market while maintaining high quality Qualifications: 5+ years of Front End, User Experience, development (required) 5+ years of experience in JavaScript skills (required) 3 + years of experience automating workflows inside Appian and in conjunction with integration to other tools (required) 3+ years of experience in React application development (required) 3+ years of hands-on HTML5/CSS3 experience (required) Experience with Java and/or Python (required) Experience with popular Javascript frameworks such as React, Node JS, Vue, Angular 2.0 (required) Experience of working with websockets, HTTP 1.1 and HTTP/2 (required) Experience with RESTful APIs and JSON RPC (required) Ability to write clean, bug-free code that is easy to understand and easily maintainable (required) Experience with BDD methodologies & automated acceptance testing (required) Technical Skills: 5+ years hands-on experience in Java, including good understanding of Java fundamentals such as Memory Model, Runtime Environment, Concurrency and Multithreading (required) Past/Current experience of 3+ years working on a large scale cloud native project (platform: Unix/Linux, Type of Systems: event-driven/transaction processing/high performance computing) as Technical Lead. These experiences should include developing/architecting core libraries or framework used by the platform to support fundamental services like storage, alert notifications, security, etc. (required) Appian Process Modeling, Smart Services, Rules and Tempo event services, database, and Web services (required) Experience with cloud technologies and migrations using public cloud vendor preferably using cloud foundational services like AWS's VPCs, Security groups, EC2, RDS, S3 ACLs, KMS, AWS CLI and IAM etc. (required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. (required) Experience working with various types of databases like Relational, NoSQL, Object-based, Graph (required) Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc (required) Familiarity with monitoring related tools and frameworks like Splunk, ElasticSearch, Prometheus, AppDynamics (required) Education and/or Experience: BS degree in Computer Science, similar technical field Appian certified developer