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2 дня назад

Senior DevOps Engineer (AI)

Формат работы
onsite
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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TL;DR
Senior DevOps Engineer (AI/GCP): Building a secure, self-service infrastructure platform for AI-powered market intelligence with an accent on Kubernetes-native architecture, infrastructure as code, and production reliability. Focus on designing controllers and operators, implementing observability and SLOs, and enabling secure developer independence across global markets.

Location: Tel Aviv, Israel

Company

hirify.global builds responsible AI technology that transforms market complexity into measurable profit growth through proprietary demand prediction and real-time decision intelligence.

What you will do

  • Build secure, automated self-service pathways that accelerate development while maintaining organizational standards.
  • Design Kubernetes-native abstractions, including controllers and operators, and modularize infrastructure into independent service lifecycles.
  • Manage infrastructure, policies, and configuration through a versioned, reviewed, tested, and CI-gated software development lifecycle.
  • Own production reliability through observability, clear SLOs, accurate alerting, and blameless postmortems.

Requirements

  • Strong production-scale GCP experience, including GKE, IAM, networking, Cloud SQL, and BigQuery.
  • Experience with Kubernetes-native, declarative infrastructure and platform engineering for self-service and separation of concerns.
  • Hands-on experience with Terraform, Helm, and GitOps tools such as ArgoCD.
  • Strong software engineering ability in Go and/or Python, with experience writing production code.
  • Experience applying least-privilege IAM, secret hygiene, policy controls, and software supply-chain security.
  • Production-first approach to reliability, observability, recoverability, and ownership of shipped systems.

Nice to have

  • Policy-as-code with OPA/Conftest or Kyverno and CI security tooling.
  • SLO, error-budget, and DORA-based delivery measurement experience.
  • Multicloud experience with AWS or Azure.
  • Big Data or MLOps exposure, including Airflow, Dagster, Ray, or Kubeflow.
  • Experience with AI-assisted or spec-driven development.

Culture & Benefits

  • Work on an internal infrastructure platform designed for high-velocity, self-service development.
  • Support reliability and developer independence across diverse global markets.
  • Use transparent, software-engineering-driven practices for infrastructure, policy, and configuration.

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