Senior Platform Engineer, Kubernetes & AI-Driven Automation

Coinbase; Boston (MA); Hybrid; USD 186,000 - 219,000; Full time

Benefits offered by this job

Equity

Bonus eligibility

Medical, dental, vision

401(k)

Job summary

Coinbase in Boston is seeking a Senior Software Engineer for the Compute Platform. You will own compute orchestration infrastructure that hundreds of engineers rely on to deploy and operate critical services.

The role emphasizes building tooling, automation, and net-new capabilities across the stack. You will partner with Security, Reliability, and Observability teams to raise the bar for security, uptime, and performance, while applying CNCF tools and AI-enabled workflows to improve efficiency

Qualifications

• 5+ years of software engineering experience with distributed systems.
• Proficient in Go, Python, or Java for production-grade infra.
• Hands-on AWS and/or GCP experience at scale.
• Experience with CNCF tools and AI tooling in infrastructure.
• Strong debugging, incident response, and root-cause analysis.

Responsibilities

• Own the design, build, and operation of Kubernetes cluster management tooling.
• Develop developer-facing tooling and workflows for Kubernetes interactions.
• Deliver new compute capabilities like one-off jobs, cron, deployment strategies.
• Automate toil, reduce on-call burden, improve observability and incident response.
• Collaborate with Security, Reliability, and Observability teams to meet standards.

Skills

Go

Python

Java

Distributed systems design

AI tooling in infra

Tools

Kubernetes

AWS

GCP

EKS

IAM

VPC

Helm

Prometheus

ArgoCD

Envoy

Job description

Coinbase in Boston is seeking a Senior Software Engineer for the Compute Platform. You will own compute orchestration infrastructure that hundreds of engineers rely on to deploy and operate critical services.

The role emphasizes building tooling, automation, and net-new capabilities across the stack. You will partner with Security, Reliability, and Observability teams to raise the bar for security, uptime, and performance, while applying CNCF tools and AI-enabled workflows to improve efficiency