Join a dynamic team where your expertise in data-driven platforms and product delivery will drive impactful solutions. Grow your skills and career with us.
As a Lead Software Engineer at JPMorgan Chase within the Chief Technology Office team, you will deliver innovative data and insights products that empower our business. You will work collaboratively in Agile sprint-based teams, building applications that support technical governance and reference data platforms. We value your ability to create user-centric dashboards and reports, as well as resilient backend services. Together, we foster a culture of continuous improvement and support.
Job responsibilities
- Deliver software solutions in Agile sprint-based teams
- Build and maintain asset management, technical governance, or reference-data-driven platforms
- Develop and integrate REST APIs, SQL, and data-intensive applications
- Design and implement ETL processes, data pipelines, and cross-system feeds
- Create UI dashboards, reports, and insight-oriented features
- 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 backend services, workflow logic, and user-facing components
- Apply strong testing, debugging, and production support practices
Required qualifications, capabilities and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Experience delivering software in Agile sprint-based teams
- Strong understanding of asset management, technical governance, or reference-data-driven platforms
- Hands-on experience with REST APIs, SQL, and data-intensive application development
- ETL / ingestion and data pipeline thinking, including schema/data handling and cross-system feeds
- Experience building UI dashboards, reports, and insight-oriented features
- 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 build across backend services, workflow logic, and user-facing components
- Strong testing, debugging, and production support mindset
Preferred qualifications, capabilities and skills
- AWS and cloud-native platform experience
- GenAI / LLM or enterprise search experience
- Observability, security, and authentication experience
- CI/CD, containerization, and platform modernization experience
Skills Required
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Experience delivering software in Agile sprint-based teams
- Strong understanding of asset management, technical governance, or reference-data-driven platforms
- Hands-on experience with REST APIs, SQL, and data-intensive application development
- ETL / ingestion and data pipeline design, including schema/data handling and cross-system feeds
- Experience building UI dashboards, reports, and insight-oriented features
- Demonstrated experience leading effective use of approved AI-assisted software development tools and setting team validation expectations
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling
- Ability to build across backend services, workflow logic, and user-facing components
- Strong testing, debugging, and production support mindset
- AWS and cloud-native platform experience
- GenAI / LLM or enterprise search experience
- Observability, security, and authentication experience
- CI/CD, containerization, and platform modernization experience
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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