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Senior Kubernetes & HPC/GPU Infrastructure Engineer (Multi-Cloud / Terraform)

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Senior Kubernetes & HPC/GPU Infrastructure Engineer (Multi-Cloud / Terraform)

MatchPoint

Senior Kubernetes & HPC/GPU Infrastructure Engineer (Multi-Cloud / Terraform)

Skills

Google Cloud PlatformNodePythonAmazon EC2Machine LearningAIAWSKubernetesTerraform

9 days ago

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Important information


Contract type:

Freelance / Contract

Location:

United States

Work mode:

Remote

Published on:

17 October 2026

What they need


MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from ideas to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.

We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!

Senior Kubernetes & HPC/GPU Infrastructure Engineer (Multi-Cloud / Terraform)

100% Remote OKAY

Duration: Long term

Rate: $ 90 -110/hr (Can go up based on experience and Skills)

Key Responsibilities:

  • Operate large-scale Kubernetes clusters across EKS, GKE, and other platforms, including node management, scheduler troubleshooting, networking, and rolling upgrades.
  • Provision and manage HPC infrastructure across AWS, CoreWeave, GCP, and OCI using Terraform and CI/CD pipelines.
  • Support Slurm-based job scheduling and GPU resource allocation for AI training and inference workloads.
  • Develop Python automation tools and implement infrastructure monitoring, alerting, SLI/SLOs, and incident response.
  • Collaborate with Networking, Storage, Security, and AI/ML Platform teams to maintain reliable, scalable infrastructure.

Required Skills:

  • Strong hands-on experience operating Kubernetes clusters at enterprise scale.
  • Proficiency in Terraform and Infrastructure as Code (IaC).
  • Working knowledge of AWS services, including EC2, S3, EFS, and FSx for Lustre.
  • Production Python scripting and infrastructure automation experience.
  • Experience with HPC/GPU workloads and Slurm is a plus.

MatchPoint Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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