Lead Software Engineer - FIXED INCOME UK

JPMorgan Chase & Co.; Greater London; On-site; GBP 120,000 - 160,000; Full time

Job summary

JPMorganChase is seeking a Lead Software Engineer in the Commercial and Investment Bank – Post Trade Technology Group to lead the delivery of trusted, scalable technology products within an agile team. You will contribute across multiple technical areas, driving architectural decisions and elevating engineering practices.

The role emphasizes secure high-quality code, operational stability, and the use of AI-assisted development tools with strong verification, tests, and peer reviews in a

Qualifications

• Formal training or certification on engineering concepts and 10+ years applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Advanced in one or more programming language(s).
• Proficiency in automation and continuous delivery methods.
• Proficient in all aspects of the Software Development Life Cycle.
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
• Proficient in full stack development skill Java 21, REACT or any other frameworks , building into Public Cloud and CD/CD strategies.
• Practical experience using AI-assisted development tools to improve productivity and quality, with a strong verification mindset (tests + peer review).

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Develops secure high-quality production code, and reviews and debugs code written by others.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
• Leads evaluation sessions with business stakeholders, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.
• Use AI-assisted tools to accelerate engineering work while maintaining controls, including: Drafting/refactoring code and documentation with validation via tests, code review, and static/security scanning.; Generating and expanding test scenarios (edge cases, regression suites) and verifying correctness/coverage.; Assisting with troubleshooting by summarizing signals (logs/alerts/traces) and proposing hypotheses, confirmed through reproducible investigation.
• Apply responsible AI practices: protect sensitive data, avoid inappropriate input of confidential information, and treat AI output as non-authoritative until verified.
• Adds to team culture of diversity, equity, inclusion, and respect

Skills

Software Development Life Cycle

CI/CD

Cloud

Agile methodologies

Education

Engineering certification

Tools

Java 21

React

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Commercial and Investment Bank- Post Trade Technology Group, youare an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with business stakeholders, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Use AI-assisted tools to accelerate engineering work while maintaining controls, including:
  • Drafting/refactoring code and documentation with validation via tests, code review, and static/security scanning.
  • Generating and expanding test scenarios (edge cases, regression suites) and verifying correctness/coverage.
  • Assisting with troubleshooting by summarizing signals (logs/alerts/traces) and proposing hypotheses, confirmed through reproducible investigation.
• Apply responsible AI practices: protect sensitive data, avoid inappropriate input of confidential information, and treat AI output as non-authoritative until verified.
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on engineering concepts and 10+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Proficient in full stack development skill Java 21, REACT or any other frameworks , building into Public Cloud and CD/CD strategies.
• Practical experience using AI-assisted development tools to improve productivity and quality, with a strong verification mindset (tests + peer review).

Preferred qualifications, capabilities, and skills

• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience
• Experience with observability tooling and practices (structured logging, metrics, distributed tracing) and incident/problem management.

Work Style / Ways of Working

• Strong communication skills, ownership mindset, and ability to collaborate across product, engineering, and operations.
• Commitment to inclusive teamwork and continuous improvement in engineering practices and delivery excellence.