Staff Cloud Native Software Engineer (AI)

Location: UK

Company

Nscale provides GPU cloud infrastructure for AI start-ups and enterprise customers, focused on high-performance, cost-effective, and sustainable AI computing.

What you will do

• Design, build, and operate Kubernetes-native controllers, operators, custom resources, and admission webhooks for AI applications and networking components.
• Extend Kubernetes control-plane capabilities for AI workloads through network policy controllers, CNI and service-mesh integrations, and resource and scheduling extensions.
• Build reconciliation loops, informers, client-go tooling, and operational automation that keep infrastructure state consistent and simplify platform operations.
• Drive infrastructure architecture decisions and build observability foundations using metrics, structured events, tracing, and Kubernetes status reporting.
• Debug complex issues across Kubernetes, networking datapaths, service meshes, and GPU-backed workload runtimes while designing systems that degrade gracefully and self-heal.
• Set technical direction, lead design discussions and code reviews, define reusable platform patterns, and mentor engineers.

Requirements

• At least 8 years of production-level software development experience.
• Deep hands-on experience building and operating Kubernetes-native software, including controllers, operators, CRDs, or admission webhooks.
• Strong understanding of Kubernetes internals, including the API server, informer and lister patterns, reconciliation loops, and the object model.
• Strong networking fundamentals covering CNI, service mesh, kube-proxy or eBPF datapaths, DNS, and load balancing.
• Proficiency in Go or a similar language, with experience delivering tested, production-quality software at scale.
• Experience with observability, independent end-to-end ownership, staff-level technical leadership, and mentoring.

Nice to have

• Experience with or strong interest in GPU-backed infrastructure and AI workload patterns.

Culture & Benefits

• Opportunity to shape operating standards for a next-generation AI cloud platform.
• Work on complex infrastructure challenges involving high-performance and sustainable data centre operations.
• Culture centered on innovation, ownership, accountability, openness, and transparency.
• Inclusive workplace with accommodations available for individual needs.