Lead Software Engineer: Identity & Trust

JPMorgan Chase JPMorgan Chase · Banking · New York, NY +1 · Consumer & Community Banking

Lead Software Engineer for JPMorgan Chase's Customer Identity Platform team, focusing on designing and delivering secure, scalable identity and onboarding solutions. The role involves building services for the end-to-end identity lifecycle, integrating vendors, developing trust and risk signal services, and ensuring interoperability. A key aspect is driving team adoption of enterprise-authorized AI-assisted engineering practices for code quality, delivery speed, and operational outcomes, with a strong emphasis on responsible AI use and validation of AI outputs.

What you'd actually do

  1. 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.
  2. 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.
  3. Design and deliver secure, scalable software solutions that support customer identity, onboarding, and trust services across platforms
  4. Develop and maintain a canonical customer identity model to enable consistent identity representation across systems
  5. Build and manage services that support the end-to-end identity lifecycle, including enrollment, verification, remediation, and offboarding

Skills

Required

  • Formal training or certification on software engineering concepts and 5+ years of applied experience
  • Hands-on experience designing and building scalable, distributed systems and APIs in a cloud-based environment
  • Experience developing identity, authentication, or customer onboarding systems
  • Strong understanding of event-driven architecture and messaging frameworks (e.g., Kafka)
  • Experience working with identity and access management (IAM) platforms or solutions
  • Experience integrating third-party services or vendors through API-based architectures
  • Hands-on experience translating business or regulatory requirements into technical solutions
  • Experience working in agile environments with modern software development lifecycle practices
  • Proficiency in designing high-availability, resilient systems with a focus on reliability and performance
  • 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

Nice to have

  • Experience with identity assurance frameworks (e.g., NIST 800-63)
  • Experience with identity proofing or KYC platforms (e.g., Socure, Jumio)
  • Experience designing trust scoring or risk signal platforms
  • Knowledge of omnichannel customer identity systems across digital and assisted channels
  • Experience in highly regulated environments such as financial services
  • Experience influencing platform strategy and shared service adoption across large organizations
  • Experience improving developer experience through reusable platform components and service contracts

What the JD emphasized

  • enterprise-authorized AI-assisted engineering practices
  • responsible AI use
  • validating AI outputs