2 months ago
Base Salary
$207k - $275k/yr
Responsibilities
- Own the end-to-end reliability and performance of the Kubernetes-based data platform.
- Architect and operate highly available, multi-region systems that meet rigorous uptime and latency standards.
- Scale infrastructure, optimize deployment pipelines, and strengthen the platform’s security posture.
- Build, test, and manage scalable, production-ready systems supporting data ingestion, transformation, analytics, and internal AI workloads.
- Develop and operate distributed systems, databases, backend APIs, observability solutions, and automated infrastructure provisioning.
- Lead production ownership activities including incident response, reliability objectives, error budgets, and postmortems.
- Design traffic routing, failover strategies, and data consistency approaches for geo-replicated active-active systems.
Requirements
- 10+ years of hands-on experience in platform engineering, infrastructure engineering, or highly scalable distributed systems.
- Strong foundation in software design, development, and algorithmic problem-solving.
- Experience operating data platforms or data-intensive workloads with distributed processing and streaming frameworks such as Spark, Airflow, Kafka, or Flink.
- Deep expertise in Kubernetes cluster design, operations, and production troubleshooting across containerized services.
- Experience building and operating CI/CD pipelines using tools such as Argo CD and GitHub Actions.
- Experience owning mission-critical systems with high availability requirements of at least 99.99% uptime, including incident response, SLI/SLO/SLA definition, error budget management, and blameless postmortems.
- Hands-on experience developing large-scale distributed systems, databases, and backend APIs.
- Experience designing and operating geo-replicated, active-active, multi-region systems, including traffic routing, failover, and data consistency tradeoffs.
- Experience with full-stack observability involving metrics, logging, and distributed tracing using tools such as Prometheus, Grafana, and OpenTelemetry.
- Proficiency with infrastructure-as-code tools such as Helm, Terraform, or Pulumi and automated environment provisioning.
- Strong command of performance tuning, capacity planning, and resource optimization in distributed environments.
- Hands-on experience applying cloud-native security practices involving secrets management, network policies, and vulnerability scanning.
- Preferred experience in compliance-driven environments and familiarity with GDPR, SOC 2, HIPAA, or SOX.
- Preferred experience designing internal developer platforms or self-service infrastructure tooling.
Benefits
- Medical, dental, and vision insurance fully paid by CoreWeave for US-based employees.
- Company-paid life insurance, voluntary supplemental life insurance, and short- and long-term disability insurance.
- Flexible Spending Account and Health Savings Account.
- Tuition reimbursement and eligibility to participate in the Employee Stock Purchase Program.
- Mental wellness benefits through Spring Health and family-forming support through Carrot.
- Paid parental leave and flexible, full-service childcare support through Kinside.
- 401(k) with an employer match and flexible paid time off.
- Catered lunch at office and data center locations, a casual work environment, and a culture focused on innovation.
Tech Stack
Apache AirflowApache FlinkApache KafkaApache SparkArgo CDGitHub ActionsGrafanaHelmKubernetesPrometheusTerraform
About CoreWeave
CoreWeave is the Essential Cloud for AI. CoreWeave is a cloud purpose-built for scaling, supporting, and accelerating GenAI. We’re a comprehensive platform and strategic partner designed to tackle today—and tomorrow’s—challenges of deploying AI at scale. We manage the complexities of AI growth to make supercomputing accessible and push the limits of what’s possible. Our teams create modern solutions to support modern technology. Get the premier choice for working with GenAI workloads.