Lead design and operations of GPU infrastructure and Kubernetes-based AI platform environments. Manage capacity planning, optimize training/inference workloads, define reliability and security practices, implement IaC, monitoring, and disaster recovery, and collaborate with AI engineering to evolve infrastructure.
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
Similar Jobs
.png){kind=logo}
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Lead pillar-level delivery for a large-scale AAA game project by translating priorities into sprint plans, facilitating Scrum/Kanban rituals, managing dependencies and risks, keeping backlogs actionable, supporting cross-pod communication, improving workflows, and reinforcing a collaborative, accountable team culture to ensure milestone-driven production.
Top Skills:
JIRAKanbanScrum
4 Hours Ago
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Lead and scale asset production pipelines for a large AAA game, managing Associate Producers, vendors, and co-development partners. Define workflows for intake, tracking, review, approval, integration and delivery; ensure visibility across priorities, dependencies, risks and milestones; maintain asset tracking systems (e.g., Jira); coordinate cross-discipline stakeholders; produce delivery reports and support milestone readiness and quality gates.
Top Skills:
JIRA
Big Data • Cloud • Software • Database
The Staff Engineer will lead the Code Gen team to modernize legacy applications using AI-powered tools. Responsibilities include architectural leadership, engineering excellence, and strategic partnerships with various stakeholders.
Top Skills:
AIGenaiLlmsMicrosoft Sql ServerMongoDBMySQLOraclePostgres
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
