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2 часа назад

Senior Platform Engineer (AI)

Формат работы
remote (только USA)/hybrid
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 Platform Engineer (AI): Owning and scaling AWS, Kubernetes, infrastructure-as-code, CI/CD, and production systems for AI agents across customer environments with an accent on deployment orchestration, inference reliability, observability, and security. Focus on designing multi-tenant rollouts, optimizing GPU-backed model serving, and maintaining performance and reliability as customer environments and inference volume grow.

Location: Hybrid New York City model preferred; remote work considered for the right person

Company

hirify.global provides a domain-specific AI platform for the Architecture, Engineering, and Construction industry, combining embedding models, document parsing, and autonomous agents to extract structured knowledge from enterprise project files.

What you will do

  • Orchestrate agent and service rollouts across multiple customer cloud environments, including deployment strategies, per-customer configuration, automated health checks, and monitoring.
  • Build and operate fast, reliable, and cost-effective inference infrastructure, including GPU workloads, serving systems, and model deployment.
  • Own core infrastructure across multi-account AWS, Kubernetes, CI/CD, observability, disaster recovery, and cost management.
  • Strengthen security through access controls, secrets management, network security, image scanning, dependency auditing, and SOC 2 compliance work.
  • Define, provision, and evolve infrastructure as code while managing state and minimizing blast radius.

Requirements

  • 5+ years of experience in infrastructure, DevOps, or SRE roles operating production cloud infrastructure.
  • Strong Kubernetes experience, including workload deployment, troubleshooting, and work with operators and controllers.
  • Strong infrastructure-as-code skills and Terraform experience.
  • Production software engineering experience with Python and/or TypeScript, plus Linux and networking fundamentals.
  • Experience designing and maintaining CI/CD pipelines and observability platforms such as Datadog or OpenTelemetry.
  • Proactive ownership of a broad technical surface area.

Nice to have

  • PostgreSQL performance tuning and replica management.
  • ML/AI infrastructure experience, including inference services, GPU workloads, model serving, or evaluation pipelines.
  • Multi-tenant deployment patterns, per-customer isolation, sandboxed execution environments, or automated reliability systems.

Culture & Benefits

  • Competitive base salary with performance-based compensation.
  • Equity participation.
  • Medical, dental, and vision coverage.
  • Flexible paid time off.
  • Senior individual-contributor role with broad ownership and significant architectural influence.

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