Lead Software Engineer - Python / AI - Athena Core

Salary: £62,000 - 102,000 per year

Requirements:

• Strong software engineering fundamentals and a passion for developer tooling
• Proficiency in multiple programming languages, with emphasis on Python; familiarity with TypeScript/React and SQL for full-stack development
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment, with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations
• Experience coaching senior engineers and leads on compliant usage patterns and controls
• Solid understanding of testing, reliability, and maintainable system design
• Ability to operate independently in ambiguous problem spaces and collaborate effectively across teams
• Skill in turning loosely defined requirements into robust, widely adopted solutions
• Working knowledge of modern engineering workflows, including testing, CI/CD, static analysis, version control, and deployment
• Experience building developer tools or platforms at scale
• Familiarity with large-scale Python codebases
• Exposure to AI-driven development tools and practices
• Experience with cloud-based test execution and infrastructure
• Knowledge of regulatory or audit requirements in engineering environments
• Background in platform migrations or large-scale software initiatives
• Experience influencing engineering standards and best practices

Responsibilities:

• Build and evolve developer-facing products, including IDE experiences, web tooling, test infrastructure, and SDLC workflows
• Improve productivity and confidence for thousands of engineers through impactful tooling
• Drive adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes
• Establish measurable validation standards, including secure coding, peer review, and automated testing, while promoting reuse of proven patterns and automation within the SDLC/TLM toolchain
• Apply knowledge of tools within the software development life cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale
• Own features throughout their lifecycle, including discovery, design, implementation, rollout, telemetry, and operational support
• Translate ambiguous challenges into scalable platform capabilities
• Partner with controls and audit stakeholders to implement effective, low-friction engineering controls
• Influence engineering standards and best practices across a broad developer community
• Design and implement IDE and editor capabilities for smarter navigation and code intelligence
• Drive AI adoption in local development tools to enhance software development practices
• Develop static analysis and auto-remediation tools to prevent errors before production
• Build test frameworks and scheduling systems for large-scale workloads, including cloud-based execution
• Create platform tooling to identify code duplication, dead code, and opportunities for codebase simplification

Technologies:

• AI
• CI/CD
• Cloud
• Support
• Python
• React
• SQL
• Security
• TypeScript
• Web

More:

We are J.P. Morgan Chase, a global leader in financial services and part of a first-class business in a first-class way. Our Commercial & Investment Bank serves corporations, governments, and institutions in more than 100 countries across banking, markets, securities services, and payments. We value collaboration, innovation, ownership, continuous improvement, and a strong focus on developer experience. We are committed to diversity and inclusion and provide reasonable accommodations for applicants and employees where needed.

last updated 34 week of 2026