Principal Architect, Compute & Storage Infrastructure

What You Will Do

• Own the Compute & Storage platform domain, including compute, virtualization, storage, backup/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 SMEs 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.

What You Bring

• 8+ years of experience designing, implementing, and operating enterprise compute, storage, and infrastructure platforms.
• Deep expertise in virtualization, compute, storage, backup/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.
• Strong stakeholder management and communication skills, with the ability to translate complex technical concepts into business outcomes.
• Experience working with technology vendors on solution design, lifecycle management, and strategic roadmap planning.
• Builder mindset with the ability to balance standardization, innovation, and flexibility in rapidly evolving environments.
• Curiosity and interest in emerging infrastructure technologies, including GPU orchestration, open-weight AI models, and custom compute approaches.

For a closer look at how you can build your career with us, we invite you to explore cclgroup.com. 
We are committed to providing an inclusive, accessible recruitment and selection process. We welcome and encourage applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process. Please contact [email protected] if you require accommodation.
AI may be used to support certain stages of our screening & recruitment process. These tools support, but do not replace, human judgment and decision-making.