JPMorgan Chase
Principal Software Engineer, Cloud Platform (DevEx & AI Platform Automation)
$204K–$285K
Palo Alto, CA +3 · Principal · Full-time · Posted Aug 3, 2026
- Location
- Palo Alto, CA
Jersey City, NJ
Seattle, WA
Plano, TX - Experience
- 10+ years of applied experience; no alternatives stated.
- Education
- Formal training or certification on software engineering concepts; a related master's degree is preferred.
About the job
Leads cloud platform engineering and developer-experience initiatives, including platform automation and AI-assisted development capabilities.
What you'll do
- Set technical direction and lead the design and development of secure, scalable cloud infrastructure, platform tools, and self-service workflows.
- Improve developer experience and delivery through CI/CD, tooling, observability, and cross-functional platform modernization.
- Advance AI-assisted development and build AI agents and Model Context Protocol integrations for platform automation.
What they ask for
- Formal training or certification in software engineering concepts and 10+ years of applied experience.
- Hands-on experience with at least one major cloud provider: AWS, Azure, or GCP.
- Expertise in DevEx and CI/CD tools, cloud security and DevSecOps, and cloud infrastructure design.
- Strong Golang or Python skills; proficiency with infrastructure provisioning tools and logging and monitoring tools; demonstrated proficiency with AI-assisted coding workflows.
Nice to have
- Master's degree in a related field and certifications in Cloud, Kubernetes, or infrastructure-as-code technologies.
- Experience with multi-cloud or AI/ML and data platforms, automation, or building AI agents and MCP integrations at scale.
Pay
USD $204,250.00-$285,000.00 base salary (Palo Alto, CA); USD $204,250.00-$285,000.00 base salary (Jersey City, NJ); USD $204,250.00-$285,000.00 base salary (Seattle, WA)
Tools
AWS, Azure, GCP, Docker, Kubernetes, Jenkins, Terraform, Golang, Python, Google ADK
AI focus
Standardize AI-assisted coding and AI-powered development; develop AI agents and MCP integrations for platform automation.
Model-written summary · the original posting is authoritative