Principal DevOps Engineer

What You Will Do

• Define the technical vision and multi-quarter roadmap for cloud infrastructure, aligned with engineering and business goals
• Lead architecture and design for cross-team initiatives, driving decisions through RFCs and design reviews
• Build and evolve internal platform products that make engineering teams faster and safer, and own their full lifecycle
• Deploy and manage infrastructure hands-on through infrastructure as code, across cloud and container platforms
• Own reliability for critical infrastructure: define SLOs, lead complex incidents, and drive postmortem actions to completion
• Drive cost efficiency and capacity planning across cloud providers
• Embed security, compliance, and policy as code into the platform by default
• Apply AI and agent-based tooling to automate operations and improve developer experience
• Mentor senior engineers, grow technical leaders, and set standards for code, documentation, and operations
• Partner with engineering leadership and product teams, influencing direction without direct authority

Minimum Requirements

• 10+ years in infrastructure, platform, or SRE engineering, including experience operating at Staff or Principal scope
• Proven record of leading large, cross-team infrastructure initiatives from ambiguous problem to production
• Deep expertise in at least one major cloud (GCP or AWS) and working knowledge of a second
• Expert-level Kubernetes: designing, scaling, upgrading, and troubleshooting production clusters (GKE or EKS)
• Strong infrastructure as code practice with Terraform, including module design and state management at scale
• Strong software engineering skills in Go or Python, with a maintained production codebase
• Solid networking fundamentals: VPC design, routing, DNS, load balancing, service mesh (Istio or similar)
• Experience building observability at scale (Datadog, Prometheus, OpenTelemetry)
• GitOps and CI/CD experience (ArgoCD, Flux, or similar)
• Excellent written and spoken English, with the ability to explain complex tradeoffs clearly in documents and async channels

Nice to Have

• Experience with AI/LLM platform infrastructure or agent-based automation
• Managed data services at scale (e.g. MongoDB Atlas, Cloud SQL, Kafka)
• Secrets management and policy as code (e.g. Akeyless, Vault, OPA)
• FinOps experience with measurable savings
• Experience in a globally distributed engineering organization

Education

Bachelor's Degree in Computer Science or a related technical discipline, or the equivalent combination of education, technical certifications, training, or work experience.

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