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