Drimva

JPMorgan Chase

Director of Software Engineering- HR Technologies

$204K–$285K

Jersey City, NJ · Director · Full-time · Posted Jul 1, 2026

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

About the job

Leads the engineering organization building and operating JPMorgan Chase’s secure, scalable Talent Acquisition platform, setting technical direction, delivery and operational standards, and responsible AI-enabled engineering practices.

What you'll do

  • Set the platform engineering vision and roadmap; lead modernization, architecture, and integrations across HR systems and vendors.
  • Lead multiple engineering teams, including hiring, coaching, organization design, and performance management; own end-to-end delivery and operations.
  • Establish engineering governance and operational controls, and direct agentic AI-enabled engineering and SDLC/TLM automation with appropriate guardrails.

What they ask for

  • Formal training or certification in software engineering concepts and 10+ years of applied experience; 5+ years leading technologists.
  • Track record leading mission-critical platforms and delivering modern web/API platforms, distributed systems, and integration-heavy domains.
  • Strong cloud-native engineering knowledge, including reliability, security, cost management, and SDLC automation; hands-on understanding of engineering security and controls.
  • Experience leading adoption of agentic AI-enabled engineering practices and applying responsible AI controls in engineering workflows.

Nice to have

  • HR technology and Talent Acquisition workflows, including ATS/CRM platforms and integrations with enterprise HR suites.
  • Experience with React/TypeScript, Java/Spring Boot, GraphQL/REST, PostgreSQL/Aurora, Neptune, Kafka/MSK, CI/CD, IaC, and ECS/EKS.

Pay

USD 204,250.00-$285,000.00 base salary

Tools

AWS, React/TypeScript, Java/Spring Boot, GraphQL/REST, PostgreSQL/Aurora, Neptune, Kafka/MSK, Terraform/CloudFormation/CDK

AI focus

Sets direction and governance for agentic AI-enabled engineering and SDLC/TLM automation, including AI-orchestrated delivery workflows, automated test modernization, and incident triage acceleration; establishes validation, security, resiliency, traceability, and reuse guardrails.

Model-written summary · the original posting is authoritative

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