Lead Software Engineer - FIXED INCOME UK
JPMorgan Chase · London, United Kingdom · 3mo ago
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, you are 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.
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Practical experience using AI-assisted development tools to improve productivity and quality, with a strong verification mindset (tests + peer review).
- In-depth knowledge of the financial services industry and their IT systems
- Practical cloud native experience
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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.