Drimva

JPMorgan Chase

Principal Software Engineer - Developer Platform Engineering

$204K–$285K

Palo Alto, CA · Principal · Full-time · Posted Jul 6, 2026

Experience
Typically 15+ years overall; 8+ years in developer platform engineering, observability/SRE, or large-scale internal tooling.

About the job

Leads the technical strategy and delivery of an internal developer platform, including developer portal, observability, and safe feature delivery, for a large engineering organization.

What you'll do

  • Own the platform roadmap and deliver a unified developer portal, software catalog, golden paths, and self-service tooling.
  • Set portfolio-wide observability and progressive-delivery standards, building adoption through platform capabilities, scorecards, and release-readiness controls.
  • Govern agentic AI-enabled engineering workflows and coach teams on platform-first, resilient engineering practices.

What they ask for

  • Typically 15+ years of overall engineering experience, including 8+ years in developer platform engineering, observability/SRE, or large-scale internal tooling.
  • Experience scaling engineering practices across organizations of 500+ engineers and designing and operating an internal developer portal and software catalog.
  • Expertise in observability and monitoring, feature flags and progressive delivery, CI/CD, Kubernetes, and cloud platforms.
  • Proficiency in Java and Spring Boot; experience leading adoption of agentic AI-enabled development practices with human validation, traceability, and secure data handling.

Nice to have

  • Financial-services-scale, low-latency, or regulated-environment experience; developer-experience metrics and tech-health scorecards.
  • Front-end observability, service mesh, systems/cloud technologies, event-driven observability, or practical LLM and agent-based automation experience.

Pay

USD $204,250.00-$285,000.00 base salary

Tools

Backstage, Dynatrace, OpenTelemetry, Grafana, Prometheus, Kibana, Java, Spring Boot

AI focus

Architects and governs agentic AI-enabled engineering workflows for PR review assistance, test generation and maintenance, release readiness, incident triage, and root-cause acceleration, with guardrails for validation, security, resiliency, auditability, and sensitive data.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 4, 2026 (UTC)