Lead Software Engineer-Full Stack Java with AI tools expertise

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

• 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.

• 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

• 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

• 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