Drimva

JPMorgan Chase

Sr Director of Software Engineering Global AuthE

$233K–$325K

Jersey City, NJ · Director · Full-time · Posted Aug 19, 2026

Experience
10+ years applied experience; 5+ years leading technologists.
Education
Formal training or certification on software engineering concepts.

About the job

Leads engineering strategy, architecture, and delivery for enterprise customer authentication platforms while overseeing globally distributed teams and firmwide adoption of AI-enabled engineering practices.

What you'll do

  • Set technical strategy and govern architecture for high-volume authentication platforms, ensuring security, scalability, resiliency, and performance.
  • Direct concurrent enterprise initiatives, technical risk, resources, and cross-functional alignment; advise on customer authentication and IAM strategy.
  • Lead and mentor senior engineering teams and establish governance for agentic AI-enabled engineering and SDLC automation.

What they ask for

  • Formal training or certification in software engineering concepts and 10+ years of applied experience, including 5+ years leading technologists.
  • Enterprise architecture leadership across application, data, and infrastructure for large-scale platforms; hands-on production-grade software engineering experience.
  • Demonstrated leadership of mission-critical, high-volume customer-facing platforms and strong engineering governance for security, resiliency, scalability, and performance.
  • Experience leading multi-organization adoption of agentic AI-enabled engineering models, including governance, measurement, and responsible AI risk controls.

Nice to have

  • IAM and customer authentication experience, including OIDC/OAuth2, SAML2, FIDO2/WebAuthn, MFA, risk-based authentication, federation, and SSO.
  • Executive communication skills translating technical trade-offs into decisions for senior stakeholders.

Pay

USD 232,750.00-$325,000.00 base salary

Tools

Java, APIs, databases, messaging, OIDC, SAML2, FIDO2, OAuth2

AI focus

Leads firmwide adoption and governance of agentic AI-enabled engineering and SDLC/TLM automation, including AI-orchestrated delivery, automated testing, resilience engineering, incident response, and responsible AI controls.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)