JPMorgan Chase
Lead Software Engineer- Platform Identity
$157K–$215K
Jersey City, NJ +2 · Full-time · Posted Sep 24, 2026
- Location
- Jersey City, NJ
Columbus, OH
Plano, TX - Experience
- 5+ years applied experience; no alternative stated.
- Education
- Formal training or certification on software engineering concepts.
About the job
Leads engineering and production reliability for enterprise identity platforms, services, APIs, and automation, including workforce sign-on and public-cloud identity systems.
What you'll do
- Design, build, and operate identity services and APIs; maintain CI/CD, infrastructure-as-code, deployment tooling, and regional resilience.
- Improve reliability using service-level indicators, objectives, error budgets, analytics, and incident response; lead resiliency reviews and serve as the main contact during major incidents.
- Mentor engineers and lead secure, validated adoption of enterprise-authorized AI-assisted engineering and reliability workflows.
What they ask for
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- Experience designing and building production services and APIs; proficiency in at least one programming language.
- Proficiency in reliability and SRE practices, infrastructure-as-code, observability, CI/CD, and troubleshooting networking issues.
- Experience using and leading approved AI capabilities in engineering/SRE workflows, with safe handling and validation of outputs.
Nice to have
- Experience with authentication, federation, IAM, directory services, and federated identity across firm and public-cloud providers.
- Experience with PKI, regulated or high-availability systems, disaster recovery, multi-region resilience, or Kubernetes.
Pay
USD 156,750.00-$215,000.00 base salary
Tools
Python, Java/Spring-Boot, Go, Terraform, CloudWatch, Prometheus, Grafana, Tempo
AI focus
Uses enterprise-authorized AI for incident triage, troubleshooting, post-incident analysis, code review/refactoring, testing, and reliability workflows; leads adoption with validation, auditability, data-sensitivity, and security controls.
Model-written summary · the original posting is authoritative