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

MatchPoint; United States; Remote; USD 124,000 - 152,000; Full time

Job summary

MatchPoint Solutions is a fast-growing IT-Engineering services company delivering technology solutions to major clients across the US.

The role is fully remote with long-term engagement and a compensable hourly rate of 90–110 USD, based on experience and skills.

Qualifications

• Hands-on experience operating Kubernetes at scale.
• Proficiency with Terraform and IaC practices.
• Working knowledge of AWS services (EC2/S3/EFS).

Responsibilities

• Operate large-scale Kubernetes clusters across EKS, GKE, and other platforms.
• 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 workloads.
• Develop Python automation tools and implement monitoring, SLI/SLOs, and incident response.
• Collaborate with Networking, Storage, Security, and AI/ML Platform teams for reliability.

Skills

Kubernetes administration

Python scripting

Infrastructure as Code

Cloud services

Slurm workload manager

Tools

Terraform

AWS (EC2, S3, EFS)

GCP / OCI familiarity

Job description

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.

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.