HPC Storage Engineering Lead | Quant Finance Research Firm

[Up to c. £300k Comp Package | Hybrid Working]

Role Overview

We're supporting a global quantitative research and engineering organisation that depends on extremely high-throughput, low-latency storage systems to fuel large-scale modelling, simulation, and data-driven research. They are now hiring an HPC Storage Engineering Lead/Manager to take ownership of a mission-critical storage landscape - shaping the long-term technical direction, leading a specialist engineering team, and ensuring the platform can keep pace with increasingly complex compute demands. This role blends strategic influence with hands-on technical depth. You will guide the evolution of multi-petabyte storage estates, introduce modern automation practices, and work directly with researchers and platform groups whose workloads push infrastructure to its limits...

Key Responsibilities

• Set and steer the roadmap for storage platform evolution, ensuring systems can support rapidly expanding compute and data requirements
• Lead, coach, and develop a team of storage engineers, establishing high technical standards and a culture centred on ownership and delivery
• Oversee the end-to-end lifecycle of storage services - architecture, deployment, tuning, reliability, and operational health
• Drive continuous optimisation across distributed storage systems, improving throughput, latency, resiliency, and operational predictability
• Engage directly with storage vendors, influencing product direction and ensuring best-in-class support and deployment practices
• Own capacity strategy, hardware refresh cycles, and multi-year forecasting across a large and rapidly expanding estate
• Partner with research, compute, and data engineering teams to ensure storage behaviours align with modelling, machine learning, and high-performance workloads
• Introduce and champion automation, Infrastructure-as-Code, and DevOps-oriented ways of working across the storage function
• Collaborate with architectural and innovation teams to evaluate next-generation technologies and modernise the environment accordingly
• Promote engineering discipline, documentation quality, and clear operational processes for both senior leadership and partnering teams

What You'll Bring...

• Deep hands-on knowledge (6+ years) of modern high-performance storage stacks (such as VAST, Isilon, or equivalent scalable distributed systems)
• Demonstrated experience (3+ years) leading engineering teams within large, fast-moving technical environments
• Strong ability to communicate clearly with a wide variety of stakeholders, including research, platform, and infrastructure groups
• Practical experience designing automation, tooling, and workflows that simplify operations and enhance platform reliability
• Familiarity with CI/CD, configuration automation, observability tooling, and SRE-style operational thinking
• Understanding of how demanding compute or ML workloads consume storage, including performance characteristics and access patterns
• Experience integrating cloud storage - preferably AWS - into hybrid or on-premises architectures
• A strong focus on secure design, data integrity, and building highly resilient systems

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