Drimva

JPMorgan Chase

Lead Software Engineer-Platform Software Engineering

$157K–$215K

Jersey City, NJ · Full-time · Posted Jul 13, 2026

Experience
5+ years applied experience; no alternatives stated.
Education
Formal training or certification on software engineering concepts.

About the job

Leads engineering of secure, continuously compliant multi-cloud platforms, including control automation, audit-ready observability, CI/CD, and responsible AI-assisted development practices.

What you'll do

  • Design and deliver multi-cloud security and compliance solutions; translate policy requirements into technical controls, KPIs/KRIs, and engineering roadmaps.
  • Build control automation, workflow orchestration, CI/CD pipelines, and audit-ready observability across cloud and platform systems.
  • Lead engineering quality and reliability through reviews, incident analysis, documentation, mentoring, and adoption of validated AI-assisted engineering practices.

What they ask for

  • Formal training or certification in software engineering concepts and 5+ years of applied experience; cloud security and engineering experience.
  • End-to-end backend delivery experience and strong proficiency in Java, Python, or Go.
  • Cloud-native engineering on AWS, Azure, or GCP; experience implementing security, audit, and compliance controls in regulated environments.
  • Hands-on Jenkins CI/CD and Kubernetes/workflow orchestration experience; demonstrated leadership in secure engineering and responsible use of approved AI-assisted development tools.

Nice to have

  • Policy-as-code or infrastructure-as-code experience, such as Terraform; event-driven architectures or telemetry pipelines.
  • Financial-services regulatory and technology risk knowledge, or experience applying AI-assisted tooling to security engineering and continuous compliance.

Pay

USD 156,750.00-$215,000.00 base salary

Tools

Azure, AWS, GCP, Python, Go, Java, Jenkins, Kubernetes

AI focus

Leads responsible adoption of enterprise-approved AI-assisted engineering for coding, code review, refactoring, testing, and incident analysis, with validation for correctness, security, performance, resiliency, and data handling.

Model-written summary · the original posting is authoritative

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