C
CoreWeave
Senior Platform Engineer (Compute Services)
Skills
DockerLinuxKubernetes
2 months ago
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Important information
Contract type:
Permanent
Salary:
$165,000 – $242,000 / year
Location:
Sunnyvale, CA, USA
Work mode:
Onsite
Published on:
29 August 2026
What they need
- 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
- 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- Strong communication and collaboration
- Proficient in Go
- Strong Gitops/Devops with Argocd or similar helm chart management
- CKA or similar certifications is highly desired
- Excellent problem-solving, debugging, and analytical skills
- Proven Docker and containerization experience
- Strong Linux OS experience
- Bachelor’s in CS, Engineering, or related field, or equivalent experience preferred
- 2+ years administering multi-tenant SAAS Kubernetes (EKS, AKS, GKS)
- Master’s degree in Computer Science, Engineering, or a related field
- Knowledge of network protocols and distributed consensus algorithms
- Experience with performance profiling and optimization of distributed systems
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