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CoreWeave

Rents GPU cloud computing for AI developers

Technical Support Engineer 3 - Cloud

Customer SupportUpdated on Nov 13
Full-timeWarsaw, Poland

About the Job

Requirements

  • At least 5 years of experience in cloud support, systems administration, or technical support engineering roles.
  • Hands-on technical experience with Kubernetes administration, workload orchestration, and containerized environments.
  • Technical proficiency in Linux system administration, networking, load balancing, enterprise storage volumes, and node management.
  • Experience using observability and monitoring tools such as Grafana.
  • Ability to mentor technical team members, perform ticket quality assurance reviews, and refine technical support workflows.
  • Ability to work an 8-hour shift scheduled between 7:00 AM and 7:00 PM local time within a 24/7/365 team structure, including on-call rotations and occasional weekend or holiday coverage.

Responsibilities

  • Troubleshoot and resolve issues affecting mission-critical AI training workloads for clients using Kubernetes-powered high-performance computing cloud infrastructure.
  • Serve as a technical escalation point for high-priority cases.
  • Mentor team members, deliver technical training, conduct ticket quality assurance reviews, and refine operational playbooks to support timely communications and strict service-level agreements.

Desired Qualifications

  • Certified Kubernetes Administrator certification.
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, Mathematics, Physics, or a related technical field.
  • Hands-on experience developing onboarding materials, technical documentation, and coaching programs for technical teams.
  • Experience collaborating within a fast-paced, global, multi-time-zone support organization.
  • Willingness to travel up to 10% (approximately 25 days per year) as required.

About the Company

CoreWeave

Rents GPU cloud computing for AI developers

CoreWeave rents cloud computing to AI labs and businesses that train models and run them in production for research and commercial applications. Its platform combines NVIDIA graphics chips, storage, networking, and software built for demanding AI workloads across connected clusters scaled to fit each project. CoreWeave Forge connects tools for tracking experiments, testing models, and improving AI systems using feedback from production. Customers rent computing capacity through committed contracts or usage charges, while managed services handle the infrastructure needed to keep large workloads running. CoreWeave was founded in 2017 and is headquartered in Livingston, New Jersey.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Livingston, NJ
Founded
2017

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