9 часов назад
Senior DevOps Engineer (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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