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Lead Software Engineer - Python
JPMorganChase
·
3.9
Glasgow G2
Full-time
Apply on company site

Job details

Pay information not provided
Full-time
Glasgow G2

Full job description

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 JPMorgan Chase in the Athena Core DevTools team, you will design and build systems that accelerate and improve the daily work of thousands of engineers. You will shape the engineering experience from code creation to production release, partnering with teams across technology, platform engineering, and governance. You'll work on high-impact projects that enhance developer productivity, quality, and controls. Our team values collaboration, innovation, and a focus on delivering tools that make a real difference. You will be part of a culture that encourages ownership and continuous improvement.

Job 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: discovery, design, implementation, rollout, telemetry, and operational support
  • Translate ambiguous challenges into scalable platform capabilities
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies 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

Required Qualifications, Capabilities, and Skills:

  • Strong software engineering fundamentals and 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 (e.g., for coding, code review, test acceleration, troubleshooting) 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/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
  • 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

Preferred Qualifications, Capabilities, and Skills:

  • 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
ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.


ABOUT THE TEAM

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
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