Staff Software Engineer, CoreWeave

• You bring 10+ years of hands-on experience in Platform Engineering, Infrastructure Engineering, or building highly scalable distributed systems — with a strong foundation in software design, development, and algorithmic problem-solving
• Data Platform Experience: Familiarity operating data platforms or data-intensive workloads, including distributed processing and streaming frameworks such as Spark, Airflow, Kafka, or Flink
• Kubernetes & Containerization: Deep expertise in Kubernetes cluster design, day-to-day operations, and production troubleshooting across containerized service environments
• CI/CD Systems: Proven track record building and operating robust CI/CD pipelines using tools such as Argo CD and GitHub Actions
• Production Ownership: Demonstrated experience owning mission-critical systems with high availability requirements (≥99.99% uptime), including incident response, SLI/SLO/SLA definition, error budget management, and blameless postmortems
• Distributed Systems: Hands-on experience developing large-scale distributed systems, databases, and backend APIs
• Multi-Region Architecture: Practical experience designing and operating geo-replicated, active-active, multi-region systems — with a solid grasp of traffic routing, failover strategies, and data consistency tradeoffs
• Observability: Strong experience building and owning full-stack observability solutions, including metrics, logging, and distributed tracing using tools such as Prometheus, Grafana, and OpenTelemetry
• Infrastructure as Code: Proficiency with IaC tooling such as Helm, Terraform, or Pulumi, and experience with automated environment provisioning
• Performance & Capacity: Strong command of system performance tuning, capacity planning, and resource optimization in distributed environments
• Cloud-Native Security: Hands-on experience applying security best practices in cloud-native settings, including secrets management, network policies, and vulnerability scanning
• We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk
• You love building highly reliable systems that operate at scale
• You're curious about how to continuously improve system resilience, security, and operations
• You're an expert in diagnosing and solving complex distributed systems problems

Desirable

• The Platform & Infrastructure Engineering team sits at the core of our Data Infrastructure organization, responsible for the availability, reliability, scalability, and security of the company's data platform
• We build and operate the foundational systems that underpin data ingestion, transformation, analytics, and internal AI workloads at scale — delivering with production-grade discipline across mission-critical services
• Our work is guided by a commitment to automation, deep observability, and resilience, supporting stringent uptime requirements that the broader organization depends on
• As a Staff Software Engineer, you will take end-to-end ownership of the reliability and performance of our Kubernetes-based data platform
• You will architect and operate highly available, multi-region systems designed to meet rigorous uptime and latency standards
• Your day-to-day work will span scaling infrastructure, optimizing deployment pipelines, and strengthening our security posture — while playing a central role in building, testing, and managing scalable systems that are production-ready from day one