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Java Software Engineer III - AWS, Kafka, AI / ML

at J.P. Morgan

Back to all Java jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Java Software Engineer III - AWS, Kafka, AI / ML

at J.P. Morgan

Mid LevelNo visa sponsorshipJava

Posted 22 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Glasgow
Country
United Kingdom

Join JPMorgan Chase as a Software Engineer III in Glasgow supporting Markets - Prime Finance Services. You will design, develop, and troubleshoot secure, scalable Java/Spring Boot applications across the full software development lifecycle, working with cloud (AWS), messaging platforms (Kafka), databases and microservices. The role emphasizes automation, CI/CD, operational stability, and applying AI/ML tooling to software development while collaborating in an agile team.

Location: GLASGOW, LANARKSHIRE, United Kingdom

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer III at JPMorgan Chase within the Markets - Prime Finance Services, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities

  • Executes standard software solutions, design, development, and technical troubleshooting
  • Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
  • Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
  • Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
  • Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
  • Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
  • Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
  • Adds to team culture of diversity, opportunity, inclusion, and respect.
  • Evolve and apply AI in software development and automation.

 

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and applied experience with Java/Spring/Spring Boot and related technologies.
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages like Oracle, MySQL or NoSQL databases like MongoDB.
  • Demonstrable ability to code in one or more languages
  • Experience across the whole Software Development Life Cycle
  • Exposure to agile methodologies such as CI/CD, Applicant Resiliency, and Security
  • Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

 

Preferred qualifications, capabilities, and skills

  • Familiarity with modern front-end technologies like React JS, JavaScript, typescript.
  • Knowledge and experience building micro services.
  • Exposure to cloud technologies especially hands-on with AWS or on-prem cloud like GAP/GKP etc.,
  • Exposure to messaging platforms like Kafka, IBM MQ, MSK
  • Exposure to AI systems such as Copilot, Claude
Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team

Java Software Engineer III - AWS, Kafka, AI / ML

at J.P. Morgan

Back to all Java jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Java Software Engineer III - AWS, Kafka, AI / ML

at J.P. Morgan

Mid LevelNo visa sponsorshipJava

Posted 22 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Glasgow
Country
United Kingdom

Join JPMorgan Chase as a Software Engineer III in Glasgow supporting Markets - Prime Finance Services. You will design, develop, and troubleshoot secure, scalable Java/Spring Boot applications across the full software development lifecycle, working with cloud (AWS), messaging platforms (Kafka), databases and microservices. The role emphasizes automation, CI/CD, operational stability, and applying AI/ML tooling to software development while collaborating in an agile team.

Location: GLASGOW, LANARKSHIRE, United Kingdom

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer III at JPMorgan Chase within the Markets - Prime Finance Services, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities

  • Executes standard software solutions, design, development, and technical troubleshooting
  • Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
  • Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
  • Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
  • Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
  • Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
  • Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
  • Adds to team culture of diversity, opportunity, inclusion, and respect.
  • Evolve and apply AI in software development and automation.

 

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and applied experience with Java/Spring/Spring Boot and related technologies.
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages like Oracle, MySQL or NoSQL databases like MongoDB.
  • Demonstrable ability to code in one or more languages
  • Experience across the whole Software Development Life Cycle
  • Exposure to agile methodologies such as CI/CD, Applicant Resiliency, and Security
  • Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

 

Preferred qualifications, capabilities, and skills

  • Familiarity with modern front-end technologies like React JS, JavaScript, typescript.
  • Knowledge and experience building micro services.
  • Exposure to cloud technologies especially hands-on with AWS or on-prem cloud like GAP/GKP etc.,
  • Exposure to messaging platforms like Kafka, IBM MQ, MSK
  • Exposure to AI systems such as Copilot, Claude
Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team