2 дня назад
Senior DevOps Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →