[Remote] GPU Infrastructure Engineer

Site Reliability Engineer (SRE)

<What you'll do>

• Kubernetes Management:

  Design, optimize, and maintain scalable multi-cluster Kubernetes deployments across

  AWS

  ,

  Google Cloud

  , and

  on-prem

  infrastructure. Potential expansion into

  Azure

  or

  Oracle Cloud

  environments.

• Infrastructure Automation:

  Use

  Terraform

  ,

  Pulumi

  , and

  GitOps

  methodologies (e.g.,

  Argo CD

  ,

  Flux

  ) to provision and manage cloud-native resources.

• CI/CD Pipeline Reliability:

  Maintain high-availability

  build and deployment pipelines

  , ensuring rapid, safe delivery with strong rollback strategies.

• GPU Infrastructure Operations:

  Operate and scale GPU fleets with

  NVIDIA driver management

  ,

  MIG partitioning

  ,

  auto-scaling

  , and

  firmware lifecycle handling

  . Familiarity with

  AMD/ROCm

  and upcoming GPU platforms is a plus.

• Monitoring & Observability:

  Scale and tune observability systems including

  Prometheus

  and

  Grafana

  . Define and track SLIs/SLOs and enable proactive capacity monitoring.

• On-Call & Incident Response:

  Participate in a rotating on-call schedule, lead incident resolution efforts, and contribute to incident retrospectives and runbook documentation.

• Process Development & Mentorship:

  Help shape and evolve SRE processes, and mentor engineers across the organization on reliability practices and tooling.

<Your Background>

• 4+ years as a

  Site Reliability Engineering

• Deep understanding of

  Kubernetes architecture

  and experience with managing large-scale clusters in production.
• Strong hands-on skills with

  AWS

  and

  Google Cloud Platform

  ; any exposure to

  Azure

  or

  Oracle Cloud

  is beneficial.
• Proven experience with

  Infrastructure as Code

  (Terraform, Pulumi) and GitOps practices.
• Solid knowledge of

  Linux internals

  , system-level debugging, and networking fundamentals.
• Direct experience operating

  GPU clusters

  (preferably

  NVIDIA

  , including MIG usage); bonus points for experience with

  ROCm

  or

  GPU-focused providers

  like

  Lambda

  or

  Nebius

  .
• Proficiency with

  Prometheus

  ,

  Grafana

  , and maintaining observability at scale.
• Comfortable working in English (written and spoken).

<Benefits>

• Paid Vacations
• Annual Bonus: 1-month salary

<Note>

• This is a full-time position requiring 40 hours per week, but it will be structured as contractor work.
• Devices: You will be expected to use your own computer to perform the work.
• Sole Employment: No second job is permitted.