Senior/Staff Platform Engineer

Required Qualifications

• 7+ years in Platform Engineering, Infrastructure Engineering, or Site Reliability Engineering with a strong bias toward building platforms, not just operating them
• Deep, hands-on experience with Kubernetes: you've gone beyond running workloads to understanding and configuring the control plane, writing operators or controllers, tuning schedulers, and debugging at the runtime level; bonus if you've contributed to Kubernetes or built on its internals
• Experience building and running large-scale distributed systems. You understand the trade-offs between consistency and availability, have debugged distributed failures in production, and have designed systems around them
• Strong cloud compute background on GCP or AWS. You've built infrastructure, not just consumed managed services; you understand how compute, networking, and storage primitives work at the layer below the console
• Proficiency in Docker and container runtime internals: image layering, networking modes, security contexts, and build optimization

Technical Skills

• Container & Orchestration: CRDs, operators, admission webhooks, RBAC, network policies, autoscaling; strong Docker/OCI toolchain knowledge
• Distributed Systems: queuing, eventual consistency, backpressure, graceful degradation
• Infrastructure as Code: Advanced Terraform — module design, state management, programmatic provisioning patterns
• Cloud Platforms: GCP (GKE, Cloud Run, VPC, IAM, Cloud SQL, Cloud Storage, Load Balancing) — how these work under the hood, not just how to configure them
• Programming: Node.js/TypeScript or Go for platform tooling, operators, and automation
• Observability: Datadog, Prometheus/Grafana or equivalent — custom instrumentation, distributed tracing, SLO-based alerting
• Systems: Linux internals, networking fundamentals (TCP/IP, DNS, load balancing, eBPF), storage systems

Responsibilities

• Own the compute, orchestration, and infrastructure layer that CodeRabbit's AI engine and every product on top of it run on, across a multi-region GCP footprint
• Build the platform function from the ground up (0-to-1 role)
• Set the technical direction, establish the patterns everyone else builds on, and make the early architectural calls
• Build systems that need to be right, not just fast — everything else depends on them
• High-ownership engineering culture: find problems before they're assigned, use AI as a core part of how you build, ship with judgment, and own outcomes from proposal to production