Назад
1 месяц назад

Staff Cloud Native Software Engineer (AI Infrastructure)

220 000 - 265 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Cloud Native Software Engineer (AI Infrastructure): Building and operating Kubernetes-native controllers, operators, and networking integrations that connect AI applications with GPU-backed infrastructure with an accent on control-plane extensions, reliability, and observability. Focus on designing reconciliation systems, debugging Kubernetes and networking datapaths, establishing safe rollout patterns, and setting technical direction across teams.

Location: Houston, San Francisco, or Seattle, United States

Salary: $220,000–$265,000 USD per year, plus potential bonus, equity, and/or commission.

Company

Nscale provides high-performance, cost-effective GPU cloud infrastructure for AI startups and enterprise customers.

What you will do

  • Design, build, and operate Kubernetes-native controllers, operators, custom resources, admission webhooks, and client-go tooling.
  • Extend Kubernetes control-plane capabilities for AI workloads, including network policy controllers, CNI and service-mesh integrations, and scheduling extensions.
  • Own major software components end to end and define their design, deployment, operation, and rollout strategy.
  • Build observability foundations using metrics, structured events, tracing, and Kubernetes status reporting.
  • Develop self-healing systems and operational automation that reduce manual intervention and configuration drift.
  • Lead technical design, code reviews, reusable platform patterns, and mentoring across engineering teams.

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 knowledge 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 shipping well-tested, production-quality code at scale.
  • Experience with metrics, tracing, and structured logging, plus the ability to lead technical design and mentor engineers.

Nice to have

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

Culture & Benefits

  • Culture centered on innovation, ownership, accountability, openness, and transparency.
  • Medical, dental, and vision benefits.
  • Flexible paid time off and parental leave.
  • Retirement plan participation.

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