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.