CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability.

Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. com .

What You'Ll Do

: 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.

Requirements

that the broader organization depends on.

About The Role

: As a Senior 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.

Who You Are

: You bring 7+ 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.

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. Preferred: Regulated Environments: Experience working within compliance-driven environments and a working knowledge of regulatory frameworks such as GDPR, SOC 2, HIPAA, or SOX.