Architect of Platform Engineering – AI Supercompute Infrastructure | Cloud & Engineering @ Deloitte

Full Time

Job description

What We Expect: 8 years of hands-on infrastructure and platform engineering experience, including full ownership of production systems cluster architecture, control plane operations, custom controllers/operators, multi-tenancy, and large-scale fleet management Slurm experience or other HPC/AI workload scheduling: job queuing, fair-share scheduling, MPI integration Strong Linux internals knowledge: kernel tuning, cgroups, namespaces, NUMA topology, hugepages, and storage subsystems Familiarity with distributed systems, container orchestration (e.g., Kubernetes), and cloud-native applications; experience with cloud providers such as AWS, Azure, or Google Cloud Platform; understanding of service-oriented architecture, microservices, and event-driven architectures. Experience with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn is a plus.

Required skills

aws kubernetes pytorch azure google cloud platform linux microservices tensorflow distributed systems container orchestration event-driven architectures scikit-learn mpi slurm service-oriented architecture storage subsystems namespaces hpc/ai cgroups numa topology hugepages

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