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Forward Deployed Engineer, Kubernetes and GPU Clusters

You bring up Rillor's environments wherever the client runs them: in their own facility, in their colocation space or on GPU capacity we contract for them. You install Kubernetes, connect identity, storage and model serving, and prove the environment works. Then you hand it to the team that runs it day to day: Rillor's operations team for a private superintelligence (SI) cloud, or the client's own team for a Kubernetes platform we build and hand over.

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Team: GPU cluster deployment, Kind: Full-time, Location: On site at client locations in the United States, with travel, Pay: $126,000 to $176,000 a year

Duties

  • Plan each install with the client's IT, network and security teams. Agree IP ranges, the identity provider, outbound access and change windows.
  • Install Kubernetes on the GPU servers, and tie the environment to its own GitOps repository.
  • Connect the environment to the client's identity provider, storage and monitoring.
  • Deploy the platform services: model serving, retrieval, agent runtimes and governed tool access.
  • Run acceptance checks with the client, covering GPU health, network policy and restore from snapshot.
  • Fix problems on site across hardware, Linux, Kubernetes and the network, then fold each fix back into the install code.
  • Write the runbooks for the team that runs it: what was installed, how to reach it and how to upgrade it.
  • Show the client's administrators how to reach the environment and request changes, and travel to client sites as each install needs.

What you bring

  • 4+ years in platform, DevOps or systems engineering, including Kubernetes on servers you installed.
  • Strong Linux and network troubleshooting on bare metal.
  • Experience with GPU servers, drivers and the NVIDIA container stack.
  • Automation with Ansible, Terraform or similar, and Git-based delivery.
  • Clear spoken and written communication with client engineers and managers.
  • Willingness to travel to client sites.

Nice to have

  • CKA.
  • Ceph or another distributed storage system.
  • Consulting or professional services experience.

Pay and benefits

$126,000 to $176,000 a year

Full-time W-2 employment with health insurance, a retirement plan and paid leave.

No application deadline. We accept applications for this role on an ongoing basis.

Location

On site at client locations in the United States, with travel

Apply

Apply

We review applications as each team grows and contact you when there is a match.

Rillor is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status or any other status protected by law.

If you need an accommodation to apply, email careers@rillor.com.

Notices

Trademarks. NVIDIA, AMD, Ceph, Kubernetes and related product names are trademarks of their owners and are used only to identify products. No affiliation or endorsement is implied.