Senior/Staff Platform Engineer

CodeRabbit

Platform Engineer building infrastructure layer for AI-driven code reviewers at CodeRabbit. Owning design decisions and establishing foundational architecture in a rapidly growing tech environment.

Posted 7/17/2026full-timeSan Francisco • California • 🇺🇸 United StatesSenior💰 $220,000 - $280,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in Platform Engineering and Infrastructure Engineering, with a strong focus on building scalable systems on GCP or AWS. Proficient in Kubernetes and Docker, with a deep understanding of distributed systems and cloud compute fundamentals.

Highest-signal resume keywords

Platform EngineeringKubernetes ConfigurationLarge-Scale Distributed SystemsGCP Cloud ComputeDocker Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Platform EngineeringInfrastructure EngineeringSite Reliability EngineeringKubernetesDistributed SystemsCloud ComputeDockerControl Plane ConfigurationDebuggingSystem Design

Tools & Technologies

GCPAWSDockerKubernetes

Industry Keywords

Cloud InfrastructureMulti-Region DeploymentOrchestrationCompute LayerNetworkingStorage Primitives

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsDockerGoogle Cloud PlatformKubernetes

About the role

Key responsibilities & impact

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 and a product suite that's still growing.
Build the platform function from the ground up, set the technical direction, establish the patterns everyone else builds on, and make the early architectural calls that are expensive to unwind later.
Develop systems that need to be right, not just fast — everything else depends on them.

Requirements

What you’ll need

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

Benefits

Comp & perks

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