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Join a dynamic team where your leadership and technical expertise will shape impactful software solutions. Grow your career by driving innovation and delivery in a collaborative environment.
As a Lead Software Engineer at JPMorgan Chase within the Chief Technology Office team, you will lead and mentor a group of talented engineers, driving project execution and technical excellence. You will play a pivotal role in designing, developing, and delivering robust systems while fostering a collaborative and motivating team culture. Your expertise will help us adopt new technologies and ensure best practices across the software development lifecycle. Together, we will create solutions that make a difference for our clients and our community.
Job responsibilities
- Lead and manage a software engineering team, providing technical leadership and mentorship
- Design, develop, and maintain backend systems using .Net, Python, or Java
- Drive end-to-end project delivery with execution ownership from India
- Coordinate across cross-functional stakeholders and technology teams
- Evaluate and adopt new technologies, including AI tools, to improve development efficiency and quality
- Establish and enforce code review standards as a mandatory engineering practice
- Implement and manage CI/CD pipelines to enhance reliability and release velocity
- Architect solutions on public or private cloud platforms and take ownership of system programming tasks
- Embed security best practices throughout design, implementation, and delivery
- 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.
Required qualifications, capabilities and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- 2+ years of experience leading a software engineering team
- Hands-on expertise in backend languages (.Net, Python, or Java)
- Cross-platform technology knowledge
- CI/CD system knowledge
- Experience with public or private cloud platforms
- System programming experience and Security knowledge
- AI usage in the software development lifecycle
- 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
Preferred qualifications, capabilities and skills
- Experience establishing and enforcing code review standards
- Proven track record of driving project execution ownership from India
- Demonstrated ability to evaluate and adopt new technologies
- Experience providing technical guidance and mentorship to team members