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Connor, Clark & Lunn Financial Group

Principal Architect - Compute & Storage Infrastructure

Platform EngineeringConfirmed live in the last 24 hours
Full-timeVancouver, BC, Canada

About the Job

Requirements

  • At least 8 years of experience designing, implementing, and operating enterprise compute, storage, and infrastructure platforms.
  • Deep expertise in virtualization, compute, storage, backup and recovery, and hybrid infrastructure technologies.
  • Strong hands-on experience with Kubernetes, container platforms, and modern workload-hosting environments.
  • Experience supporting high-performance, large-scale, or data-intensive environments, including AI/ML, GPU, grid, or research computing platforms.
  • Demonstrated success designing storage and compute architectures for large volumes of structured and unstructured data.
  • Strong understanding of datacenter technologies, including servers, storage, networking, rack infrastructure, power, and cooling considerations.
  • Experience integrating on-premises and cloud platforms and driving long-term infrastructure modernization strategies.
  • Proven ability to define architecture standards, influence technical direction, and lead through expertise rather than direct authority.
  • Experience working with technology vendors on solution design, lifecycle management, and strategic roadmap planning.
  • Interest in emerging infrastructure technologies, including GPU orchestration, open-weight AI models, and custom compute approaches.

Responsibilities

  • Own the Compute & Storage platform domain, including compute, virtualization, storage, backup and recovery, Kubernetes, and specialized AI/ML and GPU platforms.
  • Define and evolve platform architecture, standards, guardrails, and service offerings to ensure scalability, resilience, security, and cost efficiency.
  • Establish workload placement, hosting, performance, capacity, and lifecycle management strategies across on-premises and hybrid environments.
  • Develop storage, data lifecycle, backup, and disaster recovery strategies that balance performance, recoverability, compliance, and cost.
  • Lead the design and evolution of platforms supporting large-scale unstructured data, advanced analytics, AI/ML, and research workloads.
  • Own GPU capacity planning, scheduling, and brokerage capabilities to support growing compute-intensive demand.
  • Evaluate and integrate emerging technologies, including open-weight LLMs, modern compute architectures, and future infrastructure models.
  • Partner with business, engineering, and technology teams to translate workload needs into platform capabilities, roadmaps, and investment priorities.
  • Collaborate with Security, Operations, Architecture, and other Platform Owners to ensure aligned, integrated platform solutions.
  • Guide subject matter experts and vendors by setting technical direction, reviewing designs, and driving key platform decisions and outcomes.
  • Manage platform health through capacity forecasting, performance optimization, availability, recovery readiness, and cost management.

Desired Qualifications

  • Curiosity about emerging infrastructure technologies, including GPU orchestration, open-weight AI models, and custom compute approaches.

About the Company

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