Addison Group
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This range is provided by Addison Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$100.00/hr - $115.00/hr Location:
Irving, Tx Assignment Type:
6-Month Contract-to-Hire Compensation:
$100/hr-$115/hr Work Schedule:
Monday-Friday, 9:00am-5:00pm CST, Hybrid (3 days on-site) We are seeking a highly skilled Senior Kubernetes Engineer to join our Platform Engineering function in Dallas. In this role, you will design, implement, and optimize GPU-accelerated container platforms at scale, enabling high-performance workloads (AI/ML, HPC, LLM training) across hybrid or on-prem environments. You will have deep expertise with both NVIDIA and Kubernetes ecosystems, including GPU scheduling, device plugins and custom operators. Responsibilities
Architecting and operating Kubernetes clusters optimized for GPU workloads, leveraging NVIDIA GPU Operator, Network Operator and DCGM Developing, deploying and maintaining custom Kubernetes operators and controllers to automate infrastructure services Integrating NVIDIA device plugins, Multi-Instance GPU (MIG) and GPU sharing features into the scheduling layer Optimizing GPU utilization and job placement through scheduler extensions, such as kube-scheduler plugins, Slurm and Volcano Collaborating with HPC, ML and DevOps teams to ensure multi-tenant, high-throughput cluster performance Driving observability and telemetry integrations using Prometheus, Grafana, DCGM Exporter and OpenTelemetry Implementing secure multi-user and multi-namespace GPU isolation, with RBAC and policy enforcement, such as OPA or Gatekeeper Maintaining CI/CD pipelines for Kubernetes infrastructure using GitOps, ArgoCD and FluxCD Contributing to infrastructure-as-code, using Terraform, Helm, and Kustomize Participating in performance tuning, incident response and production readiness reviews Seniority level
Mid-Senior level Employment type
Contract Job function
Engineering and Information Technology Industries
Investment Banking
#J-18808-Ljbffr
$100.00/hr - $115.00/hr Location:
Irving, Tx Assignment Type:
6-Month Contract-to-Hire Compensation:
$100/hr-$115/hr Work Schedule:
Monday-Friday, 9:00am-5:00pm CST, Hybrid (3 days on-site) We are seeking a highly skilled Senior Kubernetes Engineer to join our Platform Engineering function in Dallas. In this role, you will design, implement, and optimize GPU-accelerated container platforms at scale, enabling high-performance workloads (AI/ML, HPC, LLM training) across hybrid or on-prem environments. You will have deep expertise with both NVIDIA and Kubernetes ecosystems, including GPU scheduling, device plugins and custom operators. Responsibilities
Architecting and operating Kubernetes clusters optimized for GPU workloads, leveraging NVIDIA GPU Operator, Network Operator and DCGM Developing, deploying and maintaining custom Kubernetes operators and controllers to automate infrastructure services Integrating NVIDIA device plugins, Multi-Instance GPU (MIG) and GPU sharing features into the scheduling layer Optimizing GPU utilization and job placement through scheduler extensions, such as kube-scheduler plugins, Slurm and Volcano Collaborating with HPC, ML and DevOps teams to ensure multi-tenant, high-throughput cluster performance Driving observability and telemetry integrations using Prometheus, Grafana, DCGM Exporter and OpenTelemetry Implementing secure multi-user and multi-namespace GPU isolation, with RBAC and policy enforcement, such as OPA or Gatekeeper Maintaining CI/CD pipelines for Kubernetes infrastructure using GitOps, ArgoCD and FluxCD Contributing to infrastructure-as-code, using Terraform, Helm, and Kustomize Participating in performance tuning, incident response and production readiness reviews Seniority level
Mid-Senior level Employment type
Contract Job function
Engineering and Information Technology Industries
Investment Banking
#J-18808-Ljbffr