Drimva

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

First seen Oct 28, 2026 · Last verified Nov 6, 2026 (UTC)