Staff Cloud Native Software Engineer
AI summary of the role
Staff-level software engineer owning Kubernetes-native integrations (controllers, operators, CRDs) that connect AI applications to networking on GPU cloud infrastructure.
What you’ll do
- Design, build, and operate Kubernetes controllers, operators, CRDs, and admission webhooks for AI-networking integrations on GPU infrastructure.
- Extend Kubernetes control plane for AI workloads: network policy, CNI/service mesh, resource scheduling.
- Drive infrastructure architecture and observability (metrics, tracing, structured events) for controller software.
- Define rollout standards, versioning, and compatibility for platform changes.
What you’ll bring
- 8+ years production software development.
- Deep hands-on Kubernetes-native development (controllers, operators, CRDs, admission webhooks) with controller-runtime/client-go.
- Strong Kubernetes internals knowledge (API server, informers, reconciliation).
- Strong networking fundamentals (CNI, service mesh, eBPF, DNS, load balancing).
Technologies
Kubernetes · controllers · operators · CRDs · admission webhooks · controller-runtime · client-go · Go · CNI · service mesh · eBPF · kube-proxy
Source and classification
Internal deployment & tooling · Evidence for this classification:
Engineer to build, operate, and improve the cloud-native software integrations that connect AI applications and networking components at scale. In this software engineering role, you'll work on shared Kubernetes-based platforms, deployment patterns, observability foundations, infrastructure architecture, and operational tooling that help internal teams run services safely and efficiently on GPU-backed infrastructure. You'll partner closely with platform engineering, infrastructure, and product teams to ensure capabilities meet real developer and operational needs. This role is important to the reliability, scalability, and usability of Nscale's software integrations. As a Staff engineer, you'll take ownership of significant components and set technical direction across teams, deliver complex technical work independently, and raise the quality of operations and engineering through
More from the job description
About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future. About the Role 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. In this software engineering role, you'll work on shared Kubernetes-based platforms, deployment patterns, observability foundations, infrastructure architecture, and operational tooling that help internal teams run services safely and efficiently on GPU-backed infrastructure. You'll partner closely with platform engineering, infrastructure, and product [... source excerpt omitted ...] abilities meet real developer and operational needs. This role is important to the reliability, scalability, and usability of Nscale's software integrations. As a Staff engineer, you'll take ownership of significant components and set technical direction across teams, deliver complex technical work independently, and raise the quality of operations and engineering through practical improvements, sound technical judgement, and mentoring. What You’ll Do Cloud Native Software Engineering Design, build, and operate Kubernetes-native software — controllers, operators, custom resources (CRDs), and admission webhooks — that connects AI applications with core networking components [... source excerpt omitted ...] Own significant components end-to-end and set the technical direction for how they're designed, deployed, and operated across the team. Build reconciliation loops, informers, and client-go–based tooling that keep infrastructure state consistent between the API server, networking systems, and AI runtime components. Develop operational tooling and automation that make Kubernetes-native services easier for internal teams to deploy, run, and support. Infrastructure Architecture, Reliability & Observability Drive infrastructure architecture decisions around how AI applications and networking components integrate across the platform, weighing trade-offs at a cross-team level. Bu
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