This role involves designing, building, and operating secure, scalable AWS platforms. You will work hands-on with multi-disciplinary teams, support application and platform workloads, and contribute to continuous improvement of cloud platforms and delivery pipelines.
This role involves leading the technical design and implementation of Palantir Foundry at a high-growth AI infrastructure startup. The person will architect scalable data platforms, build data pipelines, define data models and governance, and enable self-service analytics across operations and customer-facing systems. They will also mentor engineers and collaborate cross-functionally to turn business needs into robust data solutions.
This role involves translating architectural designs into detailed, buildable technical solutions for high-performance data centres, focusing on RIBA Stages 3–5. The candidate will coordinate complex interfaces between architectural, structural, and MEP systems using Revit and BIM workflows, ensuring compliance and resolving on-site technical challenges during construction. Work is based in Wokingham within a team delivering mission-critical, AI-driven infrastructure projects.
Lead and scale a high-performing engineering team responsible for core platform systems, driving multi-quarter initiatives to improve delivery velocity, system reliability, and product quality through systems validation. Partner with product and engineering leaders to translate ambiguous, high-impact challenges into clear execution plans, ensuring operational excellence across complex, interdependent infrastructure and developer tooling.
Lead the design and development of a programmable, automated network platform that transforms global backbone and edge infrastructure into scalable services. Build orchestration systems, APIs, and self-service capabilities to enable automated provisioning and integration with cloud and interconnection partners. Drive an automation-first engineering culture across network operations and platform development.
Design and operate cloud-native platform systems for AI workloads, focusing on Kubernetes, automation, and observability. Improve platform reliability, scalability, and operational efficiency through engineering-led solutions. Collaborate with engineering and SRE teams to build resilient infrastructure and mentor peers in platform best practices.
This role involves designing and operating Kubernetes-native software such as controllers, operators, and custom resources to integrate AI applications with networking components on GPU-backed infrastructure. The engineer will lead technical direction, improve platform reliability and observability, and build automation tools that enable internal teams to deploy and manage services efficiently. Emphasis is placed on scalable, self-healing systems using reconciliation patterns and idiomatic Kubernetes practices.
This role involves owning a major part of Nscale's cloud platform, focusing on strategy, roadmap, and end-to-end delivery of product outcomes tailored to European customers. The Senior Product Manager will embed security, compliance, and cryptography into platform technologies while collaborating with engineering, design, and research teams. Emphasis is placed on resolving ambiguity, mentoring junior PMs, and driving metrics that reflect product success in a regulated, data-resident environment.
The Principal Solutions Architect role involves designing and delivering end-to-end GPU infrastructure solutions for AI workloads. You will work closely with customers and internal teams to translate complex requirements into scalable, high-performance designs, covering GPU compute, networking, storage, and orchestration. The role also includes performance testing, validation, and continuous improvement of AI infrastructure.
