Senior Site Reliability Engineer, Data Infrastructure

About the role

The Platform & Infrastructure Engineering team in the Data Infrastructure organization is responsible for the reliability, scalability, and security of the company’s data platform. The team builds and operates the foundational systems that power data ingestion, transformation, analytics, and internal AI workloads at scale. We operate with production-grade discipline, supporting mission-critical services with stringent uptime requirements and a focus on automation, observability, and resilience.

Responsibilities

• Own the reliability and performance of our Kubernetes-based data platform.
• Design and operate highly available, multi-region systems, ensuring our services meet strict uptime and latency targets.
• Work on scaling infrastructure, improving deployment pipelines, and hardening our security posture.
• Partner closely with engineering teams to ensure services are built for reliability from day one.

Requirements

• 5+ years of experience in Site Reliability Engineering, Platform Engineering, or Infrastructure Engineering roles.
• Deep expertise in Kubernetes and containerized software services, including cluster design, operations, and troubleshooting in production environments.
• Strong experience building and operating CI/CD systems, including tools such as Argo CD and GitHub Actions.
• Proven experience owning production systems with high availability requirements (≥99.99% uptime), including incident response, SLI/SLO/SLA definition, error budgets, and postmortems.
• Hands-on experience designing and operating geo-replicated, multi-region, active-active systems, including traffic routing, failover strategies, and data consistency tradeoffs.
• Strong experience building and owning observability components, including metrics, logging, and tracing (e.g., Prometheus, Grafana, OpenTelemetry).
• Experience with infrastructure as code (e.g., Helm, Terraform, Pulumi) and automated environment provisioning.
• Understanding of system performance tuning, capacity planning, and resource optimization in distributed systems.
• Experience implementing and operating security best practices in cloud-native environments (e.g., secrets management, network policies, vulnerability scanning).

Preferred Experience

• Operating data platforms or data-intensive workloads (e.g., Spark, Airflow, Kafka, Flink).
• Familiarity with service mesh technologies (e.g., Istio, Linkerd).
• Experience working in regulated environments with compliance frameworks such as GDPR, SOC 2, HIPAA, or SOX.
• Background in building internal developer platforms or self-service infrastructure.

Why CoreWeave?

About At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core, Act Like an Owner, Empower Employees, Deliver Best-in-Class Client Experiences, Achieve More Together. We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

Pay

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).