Lead Software Engineer - Java/Python, React
JPMorgan Chase · Posted Oct 14
Global banking, investment, credit card, mortgage, and asset management services
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About the role
The Horizontal Engineering team at JPMorgan Chase delivers AI-first horizontal engineering capabilities for the AIS product line. The team builds reusable components, automation, cross-product accelerators, APIs, SDKs, and infrastructure-as-code to improve operational stability and engineering consistency across AIS products. This Lead Software Engineer role designs and ships these shared capabilities, drives engineering standardization, and leads AI-enabled delivery using Java/Python and React.
What you will do
- Design and deliver secure, high-quality production code for reusable AIS-wide capabilities, including shared components, automation, APIs, SDKs, infrastructure-as-code, and cross-product engineering patterns.
- Execute creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems.
- Lead AI-first engineering delivery by using AI agents across analysis, code generation, testing, documentation, controls evidence, configuration management, reusable component development, and operational diagnostics.
- Establish disciplined human-plus-AI workflows, including context curation, prompt and skills management, review checkpoints, approval gates, escalation paths, auditability, and output validation.
- Drive standardization across AIS products by reducing duplicated engineering work, creating reusable libraries and modules, improving observability, and automating recurring operational or engineering issues.
- Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
- Provide senior engineering judgment through design challenge, code review, debugging, quality oversight, mentoring, and coaching of engineers working in an AI-enabled delivery model.
- Partner with AIS product teams, architecture, and engineering stakeholders to shape and deliver a governed backlog of cross-product work aligned to the AIS strategic Book of Work.
- Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies, AI-first delivery, and engineering standardization.
- 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.
Skills used in this role
What the employer is looking for
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Advanced proficiency in Java/Python, with strong experience across system design, application development, testing, deployment, automation, CI/CD, infrastructure-as-code, and modern SDLC practices.
- 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, platform engineering, or controls engineering).
- 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
- Experience with React for building modern, responsive front-end applications
- Practical cloud-native experience.
Preferred qualifications
- Experience with cross-product engineering, horizontal capabilities, reusable platforms, shared services, or engineering standardization across multiple product lines.
- Experience with data lakes, chaos engineering, cloud native development or compliance engineering in regulated financial services.
- Experience building AI agents, agent-assisted engineering workflows, automated testing, documentation generation, anomaly detection, or developer productivity tooling.
- Experience with multi-cloud or cloud-portable platform patterns across private cloud, AWS, Azure, or GCP.
Benefits and support
- Compensation and benefits are detailed in the job posting
About JPMorgan Chase
JPMorgan Chase & Co. is one of the oldest, largest, and most diversified financial services institutions in the world. Operating globally through the J.P. Morgan and Chase brands, the firm provides a comprehensive range of financial solutions including investment banking, consumer and commercial banking, transaction processing, and asset management. Serving millions of consumers and many of the world's most prominent corporate, institutional, and government clients, the company combines deep market expertise with extensive technological investments.
- Industry
- Banking
- Company size
- 320000+ employees
- Founded
- 1799
- Location
- New York, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Chief Operating Officer
Global Chief Information Officer
CEO, Asset & Wealth Management
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