Lead Systems Architect

Help shape the compute platform behind one of the world’s most demanding technology environments.This is an opportunity to lead the architecture of a large-scale Linux and HPC platform supporting quantitative research, AI/ML and high-performance distributed computing. You’ll define the future direction of compute, storage, networking and GPU infrastructure while working alongside world-class infrastructure and software engineers.If you enjoy solving complex systems challenges at scale and influencing technical strategy, this role offers the opportunity to work with cutting-edge technologies in an environment where performance matters.What You’ll Be Working OnDesigning and evolving large-scale Linux compute platforms supporting research, simulation and AI workloads.Architecting highly available infrastructure across compute, storage, networking and GPU environments.Defining platform standards, reference architectures and long-term infrastructure strategy.Evaluating next-generation server platforms, accelerators, storage technologies and high-speed interconnects.Optimising system performance across CPU, memory, storage, networking and GPU resources.Designing scalable monitoring, telemetry and capacity planning solutions.Driving improvements around workload scheduling, cluster utilisation and infrastructure efficiency.Leading complex infrastructure initiatives from design through implementation.Partnering with engineering and research teams to deliver scalable, high-performance platform solutions.What We’re Looking ForExtensive experience designing large-scale Linux infrastructure or HPC environments.Strong understanding of distributed compute platforms and systems architecture.Experience with GPU infrastructure and accelerator technologies.Knowledge of high-performance networking including InfiniBand, RoCE and high-speed Ethernet.Experience with parallel or enterprise storage technologies such as VAST, DDN, Lustre, BeeGFS, GPFS or similar.Hands-on experience with Kubernetes, Docker and workload schedulers such as Slurm.Strong Linux systems expertise with automation experience using Python, Go or similar.Understanding of AI/ML infrastructure and modern data centre technologies.Excellent communication skills with the ability to influence technical direction across multiple engineering teams.What Can You Expect?Architect infrastructure that powers large-scale quantitative research and AI.Work with modern Linux platforms, GPU clusters and high-performance networking technologies.Influence technology decisions spanning compute, storage, networking and data centre infrastructure.Collaborate with highly skilled engineers solving complex distributed systems challenges.Competitive compensation, performance-based rewards, ongoing professional development and relocation support where applicable.Does this sound like the next step in your career? We’d love to hear from you.Not a fit? Check out our other vacancies via our website and let's connect for your next challenge:https://elityglobal.com/careers/