About this role
Salary: £62,000 - 102,000 per year
Requirements: Strong software engineering fundamentals and a passion for developer toolingProficiency in multiple programming languages, with emphasis on Python; familiarity with TypeScript/React and SQL for full-stack developmentSolid understanding of testing, reliability, and maintainable system designDemonstrated 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 securityStrong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectationsExperience coaching engineers on safe, compliant adoption of AI-assisted practices within delivery workflowsAbility to operate independently in ambiguous problem spaces and collaborate effectively across teamsSkill in turning loosely defined requirements into robust, widely adopted solutionsWorking knowledge of modern engineering workflows, including testing, CI/CD, static analysis, version control, and deploymentExperience building developer tools or platforms at scaleFamiliarity with large-scale Python codebasesExposure to AI-driven development tools and practicesExperience with cloud-based test execution and infrastructureKnowledge of regulatory or audit requirements in engineering environmentsBackground in platform migrations or large-scale software initiativesExperience influencing engineering standards and best practices Responsibilities: Build and evolve developer-facing products, including IDE experiences, web tooling, test infrastructure, and SDLC workflowsImprove productivity and confidence for thousands of engineers through impactful toolingOwn features throughout their lifecycle, including discovery, design, implementation, rollout, telemetry, and operational supportTranslate ambiguous challenges into scalable platform capabilitiesDrive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomesApply 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 automationPartner with controls and audit stakeholders to implement effective, low-friction engineering controlsInfluence engineering standards and best practices across a broad developer communityDesign and implement IDE and editor capabilities for smarter navigation and code intelligenceDrive AI adoption in local development tools to enhance software development practicesDevelop static analysis and auto-remediation tools to prevent errors before productionBuild test frameworks and scheduling systems for large-scale workloads, including cloud-based executionCreate platform tooling to identify code duplication, dead code, and opportunities for codebase simplification Technologies: AICI/CDCloudSupportPythonReactSQLSecurityTypeScriptWeb 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