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Software Engineer (Kubernetes)

CoreWeave · Sunnyvale, United States

Imported listingfull-timeabout 2 months ago

About The Role

Join CoreWeave, a leading cloud provider specializing in GPU-accelerated workloads. As a Software Engineer focused on Kubernetes, you will play a crucial role in ensuring the availability, reliability, and scalability of our cloud infrastructure. You will drive operational excellence, implement automation, and shape the systems that keep our cloud running smoothly. Your contributions will directly impact our ability to support demanding, AI-powered workloads at scale.

  • In this role, you will be responsible for ensuring the availability, reliability, and scalability of a large Kubernetes environment, driving operational excellence, implementing automation, and shaping the systems that keep CoreWeave’s cloud running smoothly.
  • You will build, operate, and scale Kubernetes-based production infrastructure, develop automation and tooling, and design and maintain monitoring and observability solutions to proactively identify and resolve production issues.
  • You will lead incident response efforts, participate in on-call rotations, and drive root cause analysis to prevent recurrence and improve incident handling processes, while also mentoring and supporting other engineers in production best practices.
  • 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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