Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль четко сфокусирована на senior platform engineering и включает ответственность за надежность production-систем в AI-компании; офисный формат и высокая техническая планка могут подойти не всем.
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Ответственность за платформуСовременный стекСфера искусственного интеллектаРабота из офиса
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior DevOps Engineer (GCP/Kubernetes): Building a secure, self-service internal 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 CI-gated software delivery, and improving observability, security, and recoverability across global markets.
Location: Netanya, Israel
Company
hirify.global develops responsible AI and a proprietary market model that provides demand predictions and real-time decision intelligence for commercial teams, initially serving the aviation industry and scaling across volatile markets.
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 decouple 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, operational hygiene, accurate alerting, and blameless postmortems.
Requirements
Strong production-scale GCP experience, including GKE, IAM, networking, Cloud SQL, and BigQuery.
Kubernetes-native and declarative-first mindset, with experience or comfort working with controllers and operators, self-service platforms, and separation of concerns.
Experience with infrastructure as code and tools including Terraform, Helm, and GitOps such as ArgoCD or similar; KCC is optional.
Software engineering experience or proven strong development ability in Go and/or Python, including production code development rather than only glue scripts.
Production-first approach to reliability, observability, recoverability, and ownership of shipped systems.
Nice to have
Policy as code with OPA/Conftest or Kyverno and supply-chain or CI security tooling.
SLO and error-budget practices and DORA-based delivery measurement.
Multicloud experience with AWS or Azure.
Big Data or MLOps exposure, including Airflow, Dagster, Ray, or Kubeflow.
Experience or perspective on AI-assisted and spec-driven development.
Culture & Benefits
Work on an internal infrastructure platform designed for developer self-service and independence.
Operate across diverse global markets and an AI-powered, industry-agnostic product.
Use transparent, versioned, reviewed, tested, and CI-gated engineering practices.
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