Kubernetes Reliability Engineer - Scale AI Cloud

Coreweave; Washington, Northern (NJ, KY); Hybrid; USD 153,000 - 204,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with employer match

Flexible PTO

Catered lunch in office

Job summary

CoreWeave is seeking an experienced Production Engineer/SRE to ensure the reliability and scalability of one of the industry’s largest Kubernetes environments. You will build, operate, and scale infrastructure, develop automation in Go and other languages, and shape the systems that keep CoreWeave’s cloud running smoothly.

You will implement monitoring, alerting, and observability with Grafana-based tooling, drive incident response and post‑mortem improvements, and collaborate with multiple

Qualifications

• 3+ years in production engineering, SRE, or large-scale infra/platform roles.
• Kubernetes administration and container orchestration experience.
• Experience with monitoring/observability tools (Prometheus, Grafana, Datadog, etc.).
• Strong Linux systems knowledge and infra-focused programming (Go, Bash).

Responsibilities

• Build, operate, and scale Kubernetes-based production infrastructure with high reliability and performance.
• Develop automation, tooling, and IaC for zero-touch operations and rapid recovery.
• Design and maintain monitoring/alerting across the stack using Grafana and related tools.
• Lead incident response, participate in on‑call rotations, perform root cause analysis.

Skills

Kubernetes

Automation

Go/Bash

Linux

Monitoring/Observability

Incident management

Tools

Prometheus

Grafana

Datadog

Splunk

Loki

VictoriaMetrics

Job description

CoreWeave is seeking an experienced Production Engineer/SRE to ensure the reliability and scalability of one of the industry’s largest Kubernetes environments. You will build, operate, and scale infrastructure, develop automation in Go and other languages, and shape the systems that keep CoreWeave’s cloud running smoothly.

You will implement monitoring, alerting, and observability with Grafana-based tooling, drive incident response and post‑mortem improvements, and collaborate with multiple