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8 часов назад

Senior Engineer - Platform Integration (AI)

145 200 - 217 800$
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

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TL;DR

Senior Engineer - Platform Integration (AI/K8s): Building an enterprise-grade GPU compute platform that abstracts large-scale GPU and HPC infrastructure into a secure, multi-tenant service with an accent on control plane services and Kubernetes internals. Focus on designing backend APIs, implementing usage tracking and billing systems, and optimizing distributed resource allocation.

Location: Must be based in the United States

Salary: $145,200 – $217,800 per year

Company

A leader in AI-powered cloud and digital infrastructure driving transformative technology solutions globally.

What you will do

  • Design, build, and operate core GPUaaS control plane services.
  • Develop backend APIs and microservices using Python, Go, or Node.js.
  • Integrate with Kubernetes APIs for provisioning, scheduling, and multitenancy.
  • Build and maintain authentication, authorization, and identity systems (OAuth2, SSO, RBAC, LDAP).
  • Design PostgreSQL schemas optimized for scale, auditing, and reliability.
  • Build CI/CD pipelines and deployment automation for platform services.

Requirements

  • 4–7 years of software engineering experience in backend, platform, or infrastructure roles.
  • Strong backend engineering experience in Python (FastAPI), Go, or Node.js.
  • Hands-on experience with Kubernetes in production environments.
  • Experience building and operating REST and/or gRPC APIs.
  • Strong understanding of microservices architecture and cloud-native systems.
  • Experience with PostgreSQL schema design, performance, and migrations.

Nice to have

  • Experience with GPU infrastructure, HPC environments, or AI/ML platforms.
  • Experience with Kubernetes controllers, operators, Helm, or cluster lifecycle tooling.
  • Exposure to Slurm or hybrid Kubernetes/HPC scheduling systems.
  • Experience with observability stacks (Prometheus, Grafana, OpenTelemetry).
  • Familiarity with MLOps tooling (Kubeflow, MLflow, PyTorch pipelines).

Culture & Benefits

  • Diverse and inclusive environment with a team of 1,100+ employees from 68 nationalities.
  • Culture grounded in trust, accountability, and high performance.
  • Core values: Grit, Passion, and Impact.
  • Comprehensive bonus and benefits package.
  • Equal opportunity employer with reasonable accommodations for disability.

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