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7 дней назад

DevOps Engineer - AI Platforms (m/f/d)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
DevOps Engineer - AI Platforms (m/f/d) (AI platforms, cloud infrastructure, and Kubernetes): Building secure and reliable runtime platforms for AI models from data centers to edge deployments with an accent on infrastructure automation, observability, and hybrid environments. Focus on designing CI/CD and GitOps workflows, hardening air-gapped platform components, and managing scaling, security, and incident response for model-serving services.

Location: Dresden, Germany

Company

Rohde & Schwarz develops and produces solutions in Test & Measurement, Technology Systems, and Networks & Cybersecurity for industrial, regulatory, and government customers.

What you will do

  • Operate and automate cloud and on-premise infrastructure for AI platforms.
  • Implement Infrastructure as Code with Terraform and optimize platform scaling and performance.
  • Build CI/CD pipelines and integrate application deployments with GitOps workflows.
  • Establish observability through logging, metrics, alerts, capacity planning, and incident response.
  • Implement access management, RBAC, secrets management, and secure deployment workflows.
  • Provide runtime environments for model serving and data services across hybrid, edge, and air-gapped scenarios.

Requirements

  • Several years of experience in platform engineering or DevOps roles.
  • Professional experience with cloud infrastructure, Infrastructure as Code, and automation.
  • Experience with observability, logging, monitoring, and incident management for production services, including Grafana.
  • Knowledge of Docker, Kubernetes, OpenShift, Helm, GitLab CI/CD, kustomize, and Argo CD.
  • Strong understanding of access control, secrets management, and secure deployment practices.
  • Very good German and English skills, written and spoken.

Culture & Benefits

  • Inclusive work environment supporting equal opportunities and individual development.
  • Collaboration with MLOps and AI teams on innovative projects and solutions.
  • Work on products and systems supporting technological sovereignty and a safer, connected world.

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