As a Lead Software Engineer - Identity Access Management at JPMorgan Chase within the CTO Team, you will be part of a team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As a core technical contributor of a software engineering team, you will need to execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
The Identity and Access Management Team's culture is collaborative, and teams display a zeal to solve problems. Exposure to multiple stakeholders and having thought-provoking technical/business discussions pave the way for diversity of thought and constant learning, which enables us to create the most efficient solutions for our clients.
Job responsibilities:
- Design and develop scalable and resilient systems in a timely manner, and perform iterative improvements for product teams.
- Design, write, comment and unit test code to confirm software modules are of the highest quality.
- Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Work collaboratively in an Agile team setup with team members located across different locations and time zones. Contribute to delivery success across teams as a technology coach and lead developer
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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.
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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.
- Identify and implement continuous improvement opportunities, to improve delivery flow across product and technology.
- Mentor and develop team member’s skills in design, new technology, clean code, TDD, code review, and problem solving
- Investigating and liaising with product/customers to gain information about the program’s overall function and ends user experience.
- Incorporate non-functional requirements including Telemetry, Monitoring, Security, Alerts, Logs into Software solution.
Required qualifications, capabilities and skills:
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Expert understanding of OOP concepts, Design Patterns, Extensive Software Analysis and Design experience
- Expert in Copilot, Claude or other AI software tools
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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.
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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
- Understand requirements, technical design and ask the right questions to be able to come up with good quality solution.
- Evaluate upstream/downstream data and systems or technical implications and advises on mitigation actions.
- Experience with Java, Web Services (REST, API), Spring Boot, Microservices, Multithreading, database technology such as Oracle / MS SQL / Cockroach
- Experience working with terraform or similar declarative Infrastructure as Code (IaC) tools
- Experience working with Test automation such as Selenium, Cucumber, Blazemeter etc.
Preferred qualifications, capabilities and skills
- Experience with customer facing web applications, NOSQL databases such as Mongo, Agentic AI
- Strong interpersonal and communication skills
- Independent and self-motivated
- Certification such as AI/ML, Java is preferred
- Experience leading a technical team