Lead Software Engineer: Identity & Trust

JPMorgan Chase & Co.; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer to join the Consumer & Community Banking Identity Platform team in New York.

You will design, implement, and scale identity, onboarding, and trust services across multiple products, while driving secure, compliant delivery and AI-assisted engineering practices. Your role includes building a canonical identity model, integrating vendors via APIs, and partnering with risk and product teams to translate regulatory requirements into robust

Qualifications

• Formal training or certification in 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 translating business or regulatory requirements into technical solutions.

Responsibilities

• Design and deliver secure, scalable software solutions that support customer identity, onboarding, and trust services across platforms.
• Develop and maintain a canonical customer identity model to enable consistent identity representation across systems.
• Build and manage services that support the end-to-end identity lifecycle, including enrollment, verification, remediation, and offboarding.
• Integrate identity proofing and verification vendors through abstracted APIs to enable flexible and scalable onboarding capabilities.
• Develop and refine trust and risk signal services that support fraud detection and identity assurance decisions.
• Design and implement event-driven architectures and APIs that enable seamless interoperability across distributed systems.
• Partner with product, risk, and technology teams to translate regulatory and business requirements into scalable technical solutions.
• Ensure continuity of identity experience across digital and assisted channels (e.g., web, mobile, branch, call center).
• Identify opportunities to improve platform performance, scalability, and reliability through automation and engineering best practices.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards.
• Applies knowledge of tools within the SDLC toolchain, including AI-assisted development and automation capabilities, to improve value realized by automation.

Skills

Distributed systems design

API development

Event-driven architecture

IAM / identity platforms

Agile / SDLC practices

AI-assisted development tools

Reliability & performance focus

Regulatory-compliant delivery

Leadership / mentoring

Security-best practices

Education

Formal training or certification in software engineering concepts

Tools

Kafka

Cloud platforms (AWS/Azure/GCP)

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking’s Customer Identity Platform team, you are an integral part of an agile team that works to enhance, build, and deliver trusted, market-leading identity and onboarding solutions in a secure, stable, and scalable way. You will play a key role in designing and delivering a shared identity platform that supports customer onboarding, identity verification, and trust services across multiple products and lines of business.

Job responsibilities

• Design and deliver secure, scalable software solutions that support customer identity, onboarding, and trust services across platforms
• Develop and maintain a canonical customer identity model to enable consistent identity representation across systems
• Build and manage services that support the end-to-end identity lifecycle, including enrollment, verification, remediation, and offboarding
• Integrate identity proofing and verification vendors through abstracted APIs to enable flexible and scalable onboarding capabilities
• Develop and refine trust and risk signal services that support fraud detection and identity assurance decisions
• Design and implement event-driven architectures and APIs that enable seamless interoperability across distributed systems
• Partner with product, risk, and technology teams to translate regulatory and business requirements into scalable technical solutions
• Ensure continuity of identity experience across digital and assisted channels (e.g., web, mobile, branch, call center)
• Identify opportunities to improve platform performance, scalability, and reliability through automation and engineering best practices
• 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.

Required qualifications, capabilities and skills

• 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

Preferred qualifications, capabilities and skills

• 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