4 часа назад
Senior Backend Engineer (AI)
180 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Backend Engineer (AI): Building control planes, backend services, and automation for managed Kubernetes and Slurm clusters across large-scale GPU infrastructure with an accent on distributed systems, cloud-native architecture, and platform reliability. Focus on automating cluster lifecycle management, workload scheduling, infrastructure provisioning, observability, and production operations.
Location: Hybrid role based in New York City, San Francisco, or Seattle, United States, with a minimum of two in-office days per week and occasional team and company offsites.
Salary: $180,000–$250,000 USD annual base salary, plus potential bonus, equity, and benefits.
Company
builds an end-to-end platform for developing, training, and deploying AI systems, combining developer-focused software with large-scale GPU cloud infrastructure.
What you will do
- Design, build, and operate backend services in Go or Python for the managed infrastructure platform.
- Develop control plane services that provision, orchestrate, and manage Kubernetes and Slurm clusters across large-scale GPU infrastructure.
- Build distributed systems for cluster lifecycle management, workload scheduling, infrastructure provisioning, and platform operations.
- Develop Kubernetes APIs, controllers, operators, and other cloud-native platform capabilities.
- Improve platform reliability, scalability, security, and observability through automation and operational excellence.
- Diagnose complex production issues and collaborate with infrastructure, AI, and platform engineering teams on architecture, mentoring, and on-call operations.
Requirements
- Significant professional experience designing, building, and operating production backend systems with Go or Python.
- Deep hands-on experience with Kubernetes or Slurm in large-scale production environments.
- Strong understanding of distributed systems, cloud-native architectures, networking, storage, and cloud infrastructure.
- Experience building scalable backend services, APIs, and infrastructure automation.
- Familiarity with observability, CI/CD, testing, production operations, and incident response.
- Ability to own complex technical projects and collaborate effectively across engineering teams.
Nice to have
- Kubernetes platform development with operators, controllers, CRDs, or control plane components.
- Slurm administration, scheduling, or HPC experience.
- Infrastructure-as-Code or GitOps tools such as Terraform, Crossplane, Helm, Argo CD, Flux, or Kustomize.
- GPU infrastructure, AI platforms, Kubernetes networking or storage, and multi-tenant platform architecture.
- Experience with event-driven systems, gRPC, distributed messaging, CI/CD systems, or cloud-native open-source projects.
Culture & Benefits
- Hybrid work model with flexible schedules for office-based teams.
- Medical, dental, and vision coverage, including eligible dependents.
- RSUs, 401(k) matching for U.S. employees, and comprehensive paid leave.
- Unlimited PTO, company holidays, floating holidays, and a two-week winter break.
- Annual learning allowance, wellness and work-from-home stipends, and a paid sabbatical after four years.
- Complimentary meals at office hubs.
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