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As a Lead Software Engineer at JPMorganChase within the Infrastructure Platforms, Data Center Services team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will take ownership of technical delivery end-to-end while actively engaging with stakeholders to translate business needs into well-planned, high-quality software solutions. This role demands a self-starter who thrives in a collaborative environment, can manage competing priorities, and drives engineering excellence across the team.
Job responsibilities
- Design, develop, and deliver full stack software solutions across frontend (React) and backend (Node.js/TypeScript, Python) services, applying strong problem-solving skills to break down complex technical challenges.
- Engage directly with stakeholders and product owners to gather requirements, clarify scope, and ensure technical solutions align with business objectives.
- Lead development planning activities including backlog refinement, sprint planning, effort estimation, and technical roadmap definition, ensuring the team delivers incrementally and predictably.
- 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.
- Develop secure, high-quality production code and review peers' work to maintain consistency, reliability, and adherence to engineering standards.
- Identify opportunities to eliminate or automate remediation of recurring issues to improve the overall operational stability of applications and systems.
- Maintain clear and organised documentation including technical designs, architecture decisions, and runbooks, ensuring knowledge is shared and accessible.
- Leverage AI-assisted development tools (e.g., GitHub Copilot, AI code review assistants) to improve productivity, code quality, and delivery speed, and champion their effective adoption within the team.
- Participate in communities of practice across Software Engineering to drive awareness and adoption of modern tooling, patterns, and best practices.
- Mentor and support junior engineers
Required qualifications, capabilities, and skills
- Bachelor’s Degree in Computer Science, Cybersecurity, Data Science, or related disciplines
- Formal training or certification in software engineering concepts and 5+ years of applied experience delivering production software.
- Hands-on practical experience across the full Software Development Life Cycle, including system design, application development, testing, CI/CD pipelines, and operational support.
- Strong proficiency in frontend development with React (including state management and testing with Jest/React Testing Library).
- Advanced knowledge in backend development using Node.js and TypeScript to build RESTful APIs, along with strong experience in writing and maintaining comprehensive unit, functional, and integration tests.
- Demonstrated ability to communicate effectively with technical and non-technical stakeholders, translating business requirements into actionable technical plans.
- Experience working collaboratively in agile teams and participating in Scrum ceremonies (stand-ups, retrospectives, sprint planning); experience facilitating or running ceremonies.
- 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 databases such as MySQL or similar, along with exposure to cloud platforms and infrastructure-as-code practices, and familiarity with API documentation standards such as OpenAPI/Swagger.
- Experience with other modern frontend frameworks (e.g., Angular). Experience with Python for backend services or tooling.
- Proficiency with design and prototyping tools such as Figma for collaborating on UI/UX requirements is highly desirable.
- Experience with traditional AI/ML, such as predictive analysis, is highly desirable.
Skills Required
- Bachelor's Degree in Computer Science, Cybersecurity, Data Science, or related discipline
- Formal training or certification in software engineering concepts and 5+ years of applied experience delivering production software
- Hands-on experience across the full SDLC including system design, application development, testing, CI/CD, and operational support
- Strong proficiency in frontend development with React, including state management and testing with Jest/React Testing Library
- Advanced backend development using Node.js and TypeScript to build RESTful APIs, with comprehensive unit, functional, and integration testing
- Practical experience with Python for backend services or tooling
- Experience with databases such as MySQL
- Exposure to cloud platforms and infrastructure-as-code practices
- Familiarity with API documentation standards such as OpenAPI/Swagger
- Demonstrated ability to communicate effectively with technical and non-technical stakeholders
- Experience working in agile teams and participating in or facilitating Scrum ceremonies
- Demonstrated experience leading effective use of approved AI-assisted development tools (e.g., GitHub Copilot, AI code review assistants) and establishing validation standards
- Strong understanding of responsible AI use, data sensitivity, secure handling of inputs/outputs, and coaching engineers on safe adoption
- Mentoring and supporting junior engineers
- Experience with design and prototyping tools such as Figma
- Experience with other frontend frameworks (e.g., Angular)
- Experience with traditional AI/ML such as predictive analysis
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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