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.
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