Lead Software Engineer - Python

JP Morgan Chase; Glasgow; On-site; GBP 62,000 - 102,000; Full time

Job summary

JPMorgan Chase in the United Kingdom is seeking a Lead Software Engineer to build and evolve developer-facing products, including IDE experiences, web tooling, test infrastructure, and SDLC workflows.

You will drive enterprise-wide AI-assisted engineering practices, improve code quality, and enable scalable platform capabilities across thousands of engineers, with a focus on secure, compliant solutions in Python, TypeScript, and SQL.

Qualifications

• Strong software engineering fundamentals.
• Proficiency in Python; familiarity with TypeScript/React and SQL for full-stack development.
• Solid understanding of testing, reliability, and maintainable system design.
• Experience leading AI-assisted software development tools adoption and setting team expectations for validating AI outputs.

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.
• Own features throughout their lifecycle, including discovery, design, implementation, rollout, telemetry, and operational support.
• Translate ambiguous challenges into scalable platform capabilities.
• Drive enterprise adoption of AI-assisted engineering practices to improve code quality and delivery outcomes.
• Partner with controls and audit stakeholders to implement effective engineering controls.
• Design and implement IDE/editor capabilities for smarter navigation and code intelligence.
• Develop static analysis and auto-remediation tools to prevent production errors.
• Build test frameworks and scheduling systems for large-scale workloads, including cloud execution.

Skills

Python

TypeScript/React

SQL

AI-assisted tooling

CI/CD

Security/compliance

Cloud

Tools

IDE tooling

Job description

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
• Solid understanding of testing, reliability, and maintainable system design
• Demonstrated experience leading effective use of approved AI-assisted software development tools, 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 engineers on safe, compliant adoption of AI-assisted practices within delivery workflows
• 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
• Own features throughout their lifecycle, including discovery, design, implementation, rollout, telemetry, and operational support
• Translate ambiguous challenges into scalable platform capabilities
• Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes
• Apply knowledge of tools within the software development life cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
• 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 JPMorgan Chase, hiring for our Athena Core DevTools team. We are a global leader in financial services and, through our Commercial & Investment Bank, a global leader across banking, markets, securities services, and payments. We serve corporations, governments, wealthy individuals, and institutional investors in more than 100 countries. In this full-time Lead Software Engineer role, you will help shape the engineering experience for thousands of engineers by building tools that improve productivity, quality, and controls. We value collaboration, innovation, ownership, continuous improvement, and a strong focus on diversity and inclusion, and we support reasonable accommodations for applicants and employees where needed.

last updated 36 week of 2026