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8 дней назад

Backend Engineer (AI Infrastructure)

Формат работы
remote (только USA)
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
Backend Engineer (AI infrastructure): Building the first software platform that lets AI labs operate compute clusters from multiple providers as one fleet, with an accent on Go services, Kubernetes, Postgres, and customer-facing infrastructure. Focus on multi-tenant authorization, telemetry pipelines, idle GPU capacity, production on-call, and shaping the product directly with customers.

Location: Remote in North America; San Francisco, CA

Company

hirify.global is building a market and infrastructure platform that enables AI labs, research teams, and inference providers to buy, operate, monetize, and finance compute capacity.

What you will do

  • Build the first versions of a platform that lets customers manage clusters from multiple providers and their own sites as one compute fleet.
  • Develop backend services in Go against Kubernetes and Postgres, with a TypeScript console for customers.
  • Build visibility into cluster health, usage, spend, alerts, and idle GPU capacity.
  • Implement organizations, roles, authorization, and single sign-on across customer clusters.
  • Work directly with customers and research and infrastructure teams to identify problems, decide what to build, and ship solutions.
  • Carry a production pager and improve system reliability after incidents.

Requirements

  • Production experience building technically complex software with meaningful real-world impact.
  • Experience building multi-tenant systems with authorization, organizations, and tenant data separation.
  • Fluency with the Kubernetes API, not only Kubernetes deployment.
  • Experience building metrics, logs, or event pipelines that support operational dashboards and alerts.
  • Production Go experience, or sufficient systems background to ship production Go within the first month.
  • Ability to build the frontend for owned features, in addition to primarily backend and infrastructure work.
  • Production on-call experience for customer-dependent systems, including reducing pager noise over time.
  • Comfort working from customer problems and rough sketches rather than fully specified requirements, and working as an individual contributor.

Nice to have

  • ML or HPC infrastructure experience, including training clusters, Slurm, or job schedulers.
  • Experience building cloud consoles or developer platforms for engineers running real workloads.
  • Experience with enterprise identity, including SSO, SCIM, and identity-provider integrations.
  • Experience syncing or replicating large datasets across clusters or regions.

Culture & Benefits

  • Full-time role on a small senior team with direct access to leadership.
  • Work on a new product before its first version has shipped, with impact measured in days rather than quarters.
  • Competitive pay and meaningful equity.
  • Comprehensive healthcare, dental, and vision coverage for employees and dependents.
  • 401(k) and unlimited paid time off.

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