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. Learn more at www.coreweave.com .
What You’ll Do:
We are seeking a Senior Platform Engineer to join our Kubernetes Infrastructure team. This role involves administering our critical multi-tenant Kubernetes platforms and collaborating with development teams to establish proper deployment architectures. The ideal candidate will have a strong background in resilient kubernetes application architecture and deployment.
About the role:
- Champion reliability initiatives for Kubernetes application deployments: Advocate for best practices to ensure high availability, scalability, and resilience of applications in Kubernetes, focusing on robust testing, secure pipelines, and efficient resource use.
- Administer multi-tenant Kubernetes platforms: Manage complex multi-tenant Kubernetes clusters, configuring access, quotas, and security for isolation and optimal resource allocation while upholding SLAs.
- Perform lifecycle and day 2 operations on clusters: Execute Kubernetes cluster lifecycle, including provisioning, patching, monitoring, backup, disaster recovery, and troubleshooting.
- Deep dive into reliability issues: Conduct in-depth analysis and root cause identification for complex reliability incidents in Kubernetes, utilizing advanced debugging and monitoring tools to propose preventative measures.
- Perform on-call duties: Respond to critical alerts and incidents outside business hours, providing timely resolution to minimize disruptions, collaborating with teams, and communicating clearly.
Who You Are:
- Bachelor's in CS, Engineering, or related field, or equivalent experience preferred.
- CKA or similar certifications is highly desired.
- 5+ years administering multi-tenant SAAS Kubernetes (EKS, AKS, GKS).
- Strong Gitops/Devops with Argocd or similar helm chart management.
- Proven Docker and containerization experience.
- Strong Linux OS experience.
- Proficient in Go.
- Excellent problem-solving, debugging, and analytical skills.
- Strong communication and collaboration.
Preferred:
- Master's degree in Computer Science, Engineering, or a related field.
- Experience with performance profiling and optimization of distributed systems.
- Knowledge of network protocols and distributed consensus algorithms.
Wondering if you’re a good fit? We beli