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9 часов назад

Senior DevOps Engineer (AI/ML)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Israel
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 DevOps Engineer (AI/ML): Building and operating cloud infrastructure, internal developer platforms, and production AI/ML serving systems for real-time LLM routing, model inference, and AI security enforcement with an accent on multi-cloud architecture, Kubernetes, infrastructure-as-code, and production-grade software engineering. Focus on scaling model-serving workloads, designing platform abstractions and CI/CD pipelines, and maintaining secure, reliable infrastructure across cloud environments.

Location: Tel Aviv, Israel

Company

hirify.global builds a control plane for autonomous AI that helps enterprises adopt and scale AI agents with visibility, governance, and operational control.

What you will do

  • Lead infrastructure architecture across cloud environments, platform tooling, internal services, and production uptime.
  • Design and build production-grade services and internal platform tooling alongside product engineering.
  • Operate and scale AI/ML serving infrastructure for real-time LLM routing, model inference, and AI security enforcement.

Requirements

  • 6+ years of experience in infrastructure, platform, DevOps, or SRE roles with strong software engineering ability.
  • Production-grade expertise in AWS, GCP, or Azure, including compute, networking, data services, identity, and security.
  • Hands-on experience building and operating AI/ML infrastructure, model serving, and inference workloads in production.
  • Deep Kubernetes experience, including production cluster operations, internals, and advanced debugging.
  • Experience designing infrastructure-as-code module architectures, managing state across environments, and integrating systems into CI/CD.
  • Strong coding ability in Go, Python, or Node.js, plus experience building internal developer platforms and applying security-first design.

Culture & Benefits

  • Work in a fast-moving, high-impact R&D environment.
  • Join a small infrastructure team with end-to-end ownership of the platform.
  • Contribute to infrastructure supporting enterprise-scale autonomous AI adoption.

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