Identity & Trust Platform Lead - Secure Onboarding & IAM

JPMorgan Chase & Co.

New York (NY)

On-site

USD 150,000 - 230,000

Full time

14 days+

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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.