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 Analy...