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Lead Software Engineer - Identity Governance & Administration (IGA)

Summary

Lead a team building identity governance and administration systems using Java, Spring Boot, and AI-assisted tools to deliver secure, scalable identity solutions for JPMorgan Chase.

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

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.

Job responsibilities:

  • Leverage enterprise-authorized AI-assisted engineering tools to accelerate design, coding, testing, troubleshooting, and automation while maintaining secure, high-quality, auditable delivery.
  • Produce architecture and design artifacts for complex applications, and ensure implemented code conforms to design constraints and standards.
  • 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.
  • Design, develop, and continuously improve scalable, resilient systems in a timely manner in partnership with product teams.
  • Write clean, well-documented, unit-tested code to ensure high-quality software modules.
  • Incorporate non-functional requirements (telemetry, monitoring, security, alerting, logging) into solution designs and implementations.
  • Manage critical, time-sensitive concurrent tasks with appropriate supervision, prioritization, and escalation when needed.
  • Identify and implement continuous improvement opportunities to enhance delivery flow across product and technology.
  • Mentor and develop team members in design, new technologies, clean code, TDD, code review, and problem-solving practices.
  • Partner with product/customers to understand program function and end-user experience, support production issues as needed, collaborate effectively in distributed Agile teams, and contribute as a technology coach/lead developer across teams.

Required qualifications, capabilities and skills:

  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • Strong communication and interpersonal skills, able to influence stakeholders, explain complex technical concepts, and collaborate across teams and time zones.
  • Demonstrated leadership in using approved AI-assisted development tools (coding, code review, test acceleration, troubleshooting) and setting team standards to validate AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, and adherence to resiliency/security expectations; able to coach teams on safe, compliant adoption.
  • Proficiency with AI coding/analysis assistants to improve developer productivity and velocity, applying appropriate governance and security controls.
  • Proven innovator with a track record of proposing and prototyping new design ideas to solve problems.
  • Expert knowledge of OOP, design patterns, and software analysis/design practices.
  • Ability to assess upstream/downstream system and data impacts and recommend mitigation actions.
  • Strong backend engineering experience with Java, REST/web services/APIs, Spring Boot, microservices, multithreading, and databases (e.g., Oracle, MS SQL, CockroachDB).
  • Frontend experience with modern UI frameworks such as React and Angular.
  • DevOps/quality and non-functional tooling experience, including Terraform (or similar IaC), test automation (e.g., Selenium, Cucumber, Blazemeter), Git, Jenkins CI/CD, application resiliency and security, and performance/telemetry/monitoring/alerts/logging.

Preferred qualifications, capabilities and skills

  • Experience with customer facing web applications, NOSQL databases such as Mongo
  • Experience with Agile Development Techniques, Issue/Bug Management and Team Collaboration Tools
  • Understand requirements, technical design and ask the right questions to be able to come up with good quality solution
  • Zeal to learn new technologies.
  • Independent and self-motivated
  • Experience leading a technical team

See also