Devops

DevOps Overview

• The DevOps role focuses on designing and optimizing GPU-accelerated container platforms for high-performance workloads across hybrid or on-prem environments.
• Collaborate with HPC, ML, and DevOps teams to ensure multi-tenant, high-throughput cluster performance.
• Drive observability and telemetry integrations using Prometheus, Grafana, DCGM Exporter, and OpenTelemetry.
• Implement secure multi-user and multi-namespace GPU isolation with RBAC and policy enforcement.
• Maintain CI/CD pipelines for Kubernetes infrastructure using GitOps tools like ArgoCD and FluxCD.
• Contribute to infrastructure-as-code practices using Terraform, Helm, and Kustomize.
• Participate in performance tuning, incident response, and production readiness reviews.
• Enjoy comprehensive benefits, including employer-paid medical coverage, 401(k) matching, and generous paid time off.

DevOps Key Responsibilities & Duties

• Architect and operate Kubernetes clusters optimized for GPU workloads, leveraging NVIDIA GPU Operator and DCGM.
• Develop and maintain custom Kubernetes operators and controllers to automate infrastructure services.
• Integrate NVIDIA device plugins, Multi-Instance GPU (MIG), and GPU sharing features into scheduling layers.
• Optimize GPU utilization and job placement through scheduler extensions like kube-scheduler plugins.
• Collaborate with teams to ensure high-performance cluster operations and multi-tenant efficiency.
• Implement telemetry integrations using tools like Prometheus and OpenTelemetry.
• Ensure secure GPU isolation with RBAC and policy enforcement mechanisms.
• Maintain CI/CD pipelines for Kubernetes infrastructure using GitOps methodologies.

DevOps Job Requirements

• Bachelor of Science (BS) degree in a relevant field is required.
• Minimum of 10 years of experience in Kubernetes and NVIDIA GPU ecosystems.
• Proficiency in Go or Python for Kubernetes operator and controller development.
• Deep understanding of Kubernetes internals, including CRDs, RBAC, and scheduler extensions.
• Experience with GPU-intensive workloads such as LLMs and scientific computing.
• Hands-on expertise with Helm, Kustomize, and GitOps workflows.
• Familiarity with CNI plugins, NVIDIA CNI, and Multus.
• Legally authorized to work in the United States without sponsorship.