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Devops

Remote / Online - Candidates ideally in
Dallas, Dallas County, Texas, 75202, USA
Listing for: Green Key Resources
Full Time, Remote/Work from Home position
Listed on 2026-10-19
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing: Infrastructure & Operations, SRE/Site Reliability
Job Description & How to Apply Below
Job Detail Experience Level Mid Level Degree Type Bachelor of Science (BS)
Employment Full Time Working Type Remote Job Reference Salary Type Annually Industry Asset Management;

Investment Banking Selling Points Lead impactful Dev Ops projects optimizing GPU-accelerated container platforms. Collaborate with dynamic teams to drive innovation in high-performance computing. Enjoy comprehensive benefits and professional growth opportunities.

Job Description Dev Ops  Overview The Dev Ops 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 Dev Ops teams to ensure multi-tenant, high-throughput cluster performance.

Drive observability and telemetry integrations using Prometheus, Grafana, DCGM Exporter, and Open Telemetry.

Implement secure multi-user and multi-namespace GPU isolation with RBAC and policy enforcement.

Maintain CI/CD pipelines for Kubernetes infrastructure using Git Ops 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.

Dev Ops

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 Open Telemetry.

Ensure secure GPU isolation with RBAC and policy enforcement mechanisms.

Maintain CI/CD pipelines for Kubernetes infrastructure using Git Ops methodologies.

Dev Ops

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 Git Ops workflows.

Familiarity with CNI plugins, NVIDIA CNI, and Multus.

Legally authorized to work in the United States without sponsorship.
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