Senior Compute Platform Engineer - Kubernetes & AI Tooling

Coinbase, Inc.

Los Angeles (CA)

Remote

USD 186,000 - 219,000

Full time

10 days ago

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Benefits offered by this job

Medical benefits
Dental benefits
Vision benefits
401(k)

Job summary

Coinbase, Inc. is seeking a Senior Software Engineer to own the compute platform’s orchestration infrastructure. Built on Kubernetes and CNCF tools, you’ll enable hundreds of engineers to deploy and operate critical services at scale.

You’ll ship tooling, automation, and new capabilities, partner with Security, Reliability, and Observability, and push the platform toward higher uptime, efficiency, and AI-enhanced workflows.

Qualifications

  • 5+ years of software engineering experience including Kubernetes or similar systems.
  • Proficiency in Go, Python or Java with production-grade infra services.
  • Hands-on AWS and/or GCP experience in large-scale deployments.
  • Ability to design and operate distributed infrastructure and root-cause issues.
  • Experience applying AI tooling to automation and workflow improvements.

Responsibilities

  • Own design, build, and operation of Kubernetes cluster management tooling and automation.
  • Build developer-facing tooling and workflows with AI-driven processes.
  • Deliver net-new compute capabilities: one-off jobs, cron, deployment strategies, EFS, right-sizing.
  • Automate toil, reduce on-call burden, improve observability and incident response.
  • Partner with Security, Reliability, and Observability teams to meet standards.

Skills

Kubernetes
Go
Python
Java
Distributed systems

Tools

Helm
Prometheus
ArgoCD
Envoy
Kubernetes

Job description

Coinbase, Inc. is seeking a Senior Software Engineer to own the compute platform’s orchestration infrastructure. Built on Kubernetes and CNCF tools, you’ll enable hundreds of engineers to deploy and operate critical services at scale.

You’ll ship tooling, automation, and new capabilities, partner with Security, Reliability, and Observability, and push the platform toward higher uptime, efficiency, and AI-enhanced workflows.

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