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Software Engineer (Kubernetes)

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Onsite

Software Engineer (Kubernetes)

CoreWeave

Software Engineer (Kubernetes)

Skills

MicroservicesDatadogGrafanaSplunkAIPrometheusKubernetesProcess Improvement

2 months ago

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Important information


Contract type:

Permanent

Salary:

$120,000 – $176,000 / year

Location:

Sunnyvale, CA, USA

Work mode:

Onsite

Published on:

29 August 2026

What they need


  • In this role, you will play a key part in ensuring the availability, reliability, and scalability of one of the industry’s largest Kubernetes environments
  • As a senior member of the team, you will drive operational excellence, implement robust automation, and help shape the systems that keep CoreWeave’s cloud running smoothly
  • Build, operate, and scale Kubernetes-based production infrastructure that delivers CoreWeave’s products with high reliability and performance
  • Develop automation, tooling, and infrastructure as code in Go and other infrastructure-focused languages to enable zero-touch operations, rapid recovery, and seamless deployments
  • Design, implement, and maintain monitoring, alerting, and observability solutions—leveraging the Grafana ecosystem and related tools—to proactively identify and resolve production issues
  • Drive incident response efforts, participate in on-call rotations, and lead root cause analysis to prevent recurrence and improve incident handling processes
  • Partner with internal and cross-functional teams to ensure platform capabilities meet rigorous operational requirements and customer SLAs
  • Engineer for resiliency, implementing best practices for redundancy, fault tolerance, and disaster recovery across complex distributed systems
  • Advocate for security, reliability, and performance improvements throughout the stack, continuously seeking opportunities to strengthen operational standards
  • Contribute to the development of custom Kubernetes operators and intelligent orchestration frameworks that optimize AI workload performance and resource utilization at scale
  • Mentor and support other engineers in production best practices, fostering a culture of high accountability and operational awareness
  • What Success Looks Like
  • You deliver stable, robust, and highly-available systems that consistently meet or exceed uptime and performance targets
  • You champion initiatives that drive automation, reduce operational toil, and increase the efficiency of incident response
  • Your leadership in root cause analysis, postmortems, and process improvement makes the Kubernetes platform more resilient and scalable
  • You actively contribute to a blameless culture of learning, mentoring others in operational best practices and production engineering principles
  • You help CoreWeave maintain industry leadership through flawless execution in supporting demanding, AI-powered workloads at scale- Demonstrate strong proficiency in infrastructure-focused programming—especially in Go and Bash—and hold a deep understanding of Linux systems
  • Possess expertise in monitoring, observability, and incident management using tools like Prometheus, Grafana, Datadog, Splunk, Loki, or VictoriaMetrics
  • Have a proven track record managing high-uptime, customer-facing systems in a fast-moving environment, with experience delivering measurable improvements in reliability and performance
  • Bring 3+ years of experience in production engineering, SRE, or large-scale infrastructure/platform roles
  • Communicate clearly across technical and non-technical stakeholders, proactively sharing knowledge and advocating for operational best practices
  • Are passionate about building systems that are not just functional, but robust, self-healing, and easy to operate at scale
  • Are deeply knowledgeable in Kubernetes administration, container orchestration, and microservices architectures, with a bias for automating every aspect of operations
  • Take pride in driving continuous improvement, and helping set high standards for operational excellence and team culture
  • Excel at troubleshooting complex production issues, from system failures to performance bottlenecks, and approach problems methodically with strong analytical skills

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