Cloud Platform Principal Engineer — AI & DevEx Lead

JPMorgan Chase & Co.

Palo Alto (CA)

Sur place

USD 180 000 - 240 000

Plein temps

14 jours+

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Résumé du poste

JPMorgan Chase seeks a Principal Software Engineer to lead cloud platform engineering, shaping secure, scalable infrastructure that powers data and AI initiatives. You’ll drive performance improvements, developer experience, and platform automation across cross-functional teams.

You will guide architectural decisions, implement real-time telemetry, and advance AI-assisted development practices while partnering with data and analytics leaders to deliver reliable, cutting-edge cloud solutions.

Qualifications

Formal training or certification on software engineering concepts and 10+ years applied experience.
Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP).
Advanced knowledge of containerization and orchestration platforms (Docker, Kubernetes, ECS, etc.).
Demonstrated expertise in DevEx (Developer Experience) and CI/CD tools (Jenkins, Spinnaker, Bitbucket, GitHub, etc.).
Strong knowledge of cloud security best practices, shift-left methodologies, and DevSecOps processes.
Strong programming skills in Golang or Python, with a solid understanding of software development best practices.
Proficiency with cloud infrastructure provisioning tools (Terraform, Crossplane, etc.).
Experience with logging and monitoring tools (Splunk, Grafana, Datadog, Prometheus, etc.).
Deep understanding of cloud infrastructure design, architecture, and migration strategies.
Demonstrated proficiency with AI-assisted coding workflows, including experience with LLM-powered development tools, spec-driven development methodologies, and prompt engineering for software engineering use cases.

Responsabilités

Provide technical leadership and guidance to the cloud engineering team.
Lead the design and development of secure, scalable, and reliable cloud infrastructure and platform tools.
Drive adoption of modern DevEx practices and evolve CI/CD and developer tooling to improve delivery speed, quality, and consistency.
Align platform strategy and roadmaps with business priorities; lead cross-functional initiatives to modernize SDLC practices.
Evaluate, integrate, and govern strategic tooling to reduce cognitive load and improve developer experience.
Collaborate with development teams to identify and eliminate bottlenecks on the platform.
Define and promote paved paths and self-service workflows to streamline developer workflows.
Implement real-time telemetry pipelines and workflows for large-scale platform observability and analytics.
Champion adoption of tools that can improve developer productivity through clear documentation, training, office hours, and close engagement with the developer community.
Standardize use of AI-assisted coding tools and AI-powered development ecosystems to accelerate development workflows, code generation, and engineering productivity across the organization.
Contribute to the design and development of AI agents and Model Context Protocol (MCP) integrations using frameworks built on top of Google ADK, Anthropic SDKs, etc.