Deloitte CE

We are a technology consulting firm building and operating next-generation AI supercompute infrastructure for the world's most ambitious organizations. As Platform Engineer, you will work hands-on across the full infrastructure stack with a particular focus on the physical and logical networking layer that makes large-scale GPU clusters perform at their theoretical limits.

As a repeatedly awarded NVIDIA Consulting Partner of the Year in EMEA, we hold one of the deepest and most recognized NVIDIA partnerships in the region. This gives our engineers privileged access to adoption programmes and NVIDIA's engineering teams.

You will work with technology and at a scale that most engineers won't encounter for years.

This is a role for someone at a mid-career stage in platform or infrastructure engineering. You have solid foundations and real hands-on experience, and you are ready to level up by working on problems of genuine complexity and scale. You know enough to know what you don't know yet, and you are hungry to close that gap fast.

What We Expect

• 5–8 years of hands-on experience in infrastructure, networking, or systems engineering
• Solid understanding of networking fundamentals: OSI model, switching and routing (BGP, OSPF), VLANs, MTU, and traffic engineering
• Working knowledge of high-performance networking technologies: InfiniBand, RDMA, RoCE, or equivalent HPC interconnects
• Familiarity with Linux networking: interfaces, bridges, bonding, namespaces, tc/qdisc, and kernel network tuning
• Basic hands-on experience with Kubernetes or Slurm: enough to navigate cluster operations, understand pod scheduling, and troubleshoot node-level issues
• Experience with at least one monitoring stack: Prometheus, Grafana, Zabbix, or similar
• Experience with network automation and IaC
• Comfort working directly with physical hardware: servers, switches, cabling and data centre environments

Bonus Experience

• Exposure to NVIDIA networking products: Mellanox/ConnectX NICs, Quantum InfiniBand switches, Spectrum Ethernet switches
• Familiarity with NCCL tuning, collective communication patterns, or distributed training networking requirements
• Hands-on time with DCGM, iperf3, perftest, or ibdiagnet for infrastructure benchmarking and validation
• Exposure to container networking
• Any experience in a consulting or client-facing technical role

Most platform engineers spend years in environments where the network is someone else's problem. Here, it is front and centre because at GPU cluster scale, the network is the performance. You will configure fabrics that move terabits per second between hundreds of GPUs, diagnose issues that block multi-million dollar training runs, and build the intuition for distributed systems that takes most engineers a decade to develop. Backed by our standing as NVIDIA's top EMEA partner, you will learn directly from NVIDIA's hardware and software teams and grow faster than almost any other environment in the industry can offer.