Remote Infrastructure/GPU Cluster/Platform Operations Lead

Bilinguallink; Lower Sackville; Remote; CAD 120,000 - 160,000; Full time

Job summary

ELEKS is seeking an Infrastructure/GPU Cluster/Platform Operations Lead to oversee GPU-driven infrastructure in Canada. The role focuses on Kubernetes-based AI environments, cloud integration, and reliability practices to support mission-critical AI deployments.

The candidate will lead design, capacity planning, and security strategies while collaborating with AI engineering teams and driving platform evolution in a fast-paced environment.

Qualifications

• 8+ years of Infrastructure Engineering or Platform Operations experience.
• Experience managing GPU clusters for AI workloads.
• Strong Kubernetes administration skills.
• Experience with NVIDIA GPU technologies and CUDA ecosystem.
• Experience with cloud infrastructure (Azure, AWS or GCP).
• Knowledge of storage, networking, and high-performance computing environments.
• Experience implementing Infrastructure as Code (Terraform or similar).
• Strong operational leadership skills.
• Experience supporting AI platform infrastructure.
• Upper-Intermediate or higher level of English.

Responsibilities

• Lead GPU infrastructure design and operations.
• Manage Kubernetes-based AI platform environments.
• Optimize infrastructure for AI training and inference workloads.
• Define operational standards and reliability practices.
• Collaborate with AI engineering teams.
• Implement monitoring, security, and disaster recovery strategies.
• Lead infrastructure capacity planning.
• Support technical roadmap and infrastructure evolution.

Skills

Infra engineering

GPU clusters

Kubernetes

NVIDIA CUDA

Cloud platforms (Azure/AWS/GCP)

Storage & networking

Infrastructure as Code (Terraform)

Leadership

AI platform infra support

English (Upper-Intermediate+)

Tools

Terraform

CUDA toolkit

Job description

ELEKS is looking for an Infrastructure/GPU Cluster/Platform Operations Lead in Canada.
Alberta-based candidates are strongly preferred (Calgary or Edmonton). Canada-based candidates will also be considered.

ABOUT CLIENT

Our customer is building a next-generation AI platform that enables organizations to securely develop, govern, and operationalize artificial intelligence while ensuring that sensitive data and organizational knowledge remain fully under their control. The platform combines advanced AI capabilities with enterprise-grade governance, security, and data sovereignty to support mission-critical decision-making.

The solution serves government organizations and enterprise customers operating in highly regulated and security-sensitive environments, where reliability, accountability, and trust are essential. The platform supports intelligent decision-making across strategic planning, workforce intelligence, and organizational operations, helping customers leverage AI without compromising security, compliance, or control over their data.

REQUIREMENTS

• 8+ years of Infrastructure Engineering or Platform Operations experience
• Experience managing GPU clusters for AI workloads
• Strong Kubernetes administration skills
• Experience with NVIDIA GPU technologies and CUDA ecosystem
• Experience with cloud infrastructure (Azure, AWS or GCP)
• Knowledge of storage, networking, and high-performance computing environments
• Experience implementing Infrastructure as Code (Terraform or similar)
• Strong operational leadership skills
• Experience supporting AI platform infrastructure
• Upper-Intermediate or higher level of English

RESPONSIBILITIES

• Lead GPU infrastructure design and operations
• Manage Kubernetes-based AI platform environments
• Optimize infrastructure for AI training and inference workloads
• Define operational standards and reliability practices
• Collaborate with AI engineering teams
• Implement monitoring, security, and disaster recovery strategies
• Lead infrastructure capacity planning
• Support technical roadmap and infrastructure evolution

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.