Staff Cloud Native Software Engineer

Nscale - Seattle, WA

Hiring: Staff Cloud Native Software Engineer Company: Nscale Location: Seattle, WA Job Posted Time: 2026-09-03 14:31:06 Target Skills & Keywords : Cloud Native, DNS, Design System, Kubernetes, Load Balancing, Service Mesh, Webhooks About the job Experience: •8 years of experience in production-level software development. •At least 8 years of experience in production-level software development. Required Skills: •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. •Extend Kubernetes control-plane capabilities to support AI workload requirements, including network policy controllers, CNI/service-mesh integrations, and resource/scheduling extensions. •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. •Drive infrastructure architecture decisions around how AI applications and networking components integrate across the platform, weighing trade-offs at a cross-team level. •Build observability foundations for controller and operator software — metrics, structured events, tracing, and status reporting surfaced through the Kubernetes API and platform dashboards. •Design systems that degrade gracefully and self-heal, using controller patterns (reconciliation, backoff, status conditions) to reduce manual intervention. Qualifications: •Deep hands-on experience building and operating Kubernetes-native software: custom controllers, operators, CRDs, or admission webhooks — using controller-runtime, client-go, or equivalent. •In-depth knowledge 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. •Comfortable owning components independently end-to-end, from design through operation, while setting direction for adjacent teams. •Track record of leading technical design at a staff level and mentoring engineers through practical technical guidance. Compensation: •$220,000 - $265,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!