Staff Cloud Native Software Engineer

Role description

Role Overview

We're hiring a Staff Cloud Native Software Engineer to build, operate, and improve the cloud-native software integrations that connect AI applications and networking components at scale. This role is important to the reliability, scalability, and usability of Nscale's software integrations.

What You Will Do

Design, build, and operate Kubernetes-native software — controllers, operators, custom resources (CRDs), and admission webhooks — that connects AI applications with core networking components on GPU-backed infrastructure.

Why It Might Be a Fit

You'll have the opportunity to help shape the operating standards behind a next-generation AI cloud platform, working on complex infrastructure challenges with real ownership and impact.

Requirements

• At least 8 years of experience in production-level software development.
• Deep hands-on experience building and operating Kubernetes-native software: custom controllers, operators, CRDs, or admission webhooks — using controller-runtime, client-go, or equivalent.
• Strong understanding of Kubernetes internals: the API server, informer/lister patterns, reconciliation loops, and the object model.
• Strong networking fundamentals — CNI, service mesh, kube-proxy/eBPF datapaths, DNS, load balancing — and experience building software that integrates with these systems.
• Proficiency in Go (strongly preferred) or a similar language, with a track record of shipping well-tested, production-quality code at scale.
• Experience with observability practices — metrics, tracing, structured logging — built into software rather than added afterward.
• Comfortable owning components independently end-to-end, from design through operation, while setting direction for adjacent teams.
• Experience with or strong interest in GPU-backed infrastructure and AI workload patterns is a plus.
• Track record of leading technical design at a staff level and mentoring engineers through practical technical guidance.

Benefits

• Opportunity to help shape the operating standards behind a next-generation AI cloud platform
• Complex infrastructure challenges with real ownership and impact
• Chance to play a meaningful role in scaling high-performance, sustainable data centre operations