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8 дней назад

AI & Analytics DevOps Engineer (AI/ML)

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

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TL;DR
AI & Analytics DevOps Engineer (AI/ML): Designing, deploying, and operating generative AI and analytics applications through CI/CD pipelines in secure on-premise German environments with an accent on Kubernetes, OpenShift, and digital sovereignty. Focus on implementing BSI IT-Grundschutz controls, optimizing high-demand GPU infrastructure, and maintaining resilient air-gapped deployments.

Location: Munich area, based at the Airbus site in Ottobrunn, Germany; mobile working and flexible working arrangements are available.

Company

hirify.global develops aerospace and digital capabilities, including secure AI and analytics platforms for data-driven operations and digital sovereignty.

What you will do

  • Design, deploy, and administer AI and analytics applications through CI/CD pipelines in restricted on-premise networks.
  • Operate and monitor generative AI applications on OpenShift and Kubernetes, ensuring availability and performance.
  • Build automated workflows and delivery tools for development teams and the AI & Data Analytics Product Owner.
  • Align infrastructure and operational workflows with BSI IT-Grundschutz and German national security requirements.
  • Produce architecture diagrams, runbooks, technical documentation, and standard operating procedures for audit readiness.
  • Support incident response, disaster recovery, proof-of-concept evaluations, and GPU resource optimization in air-gapped environments.

Requirements

  • Master’s degree in Computer Science, Cybersecurity, Information Technology, Engineering, or a related discipline.
  • At least three years of experience in DevOps and continuous delivery practices.
  • Strong experience with Kubernetes, OpenShift, Docker, or Podman.
  • Hands-on experience with CI/CD tools such as Jenkins or GitLab CI and monitoring tools such as Prometheus or Grafana.
  • Knowledge of AI/ML lifecycles, local AI model serving, GPU resource management, vLLM, and scripting with Python, Bash, or Go.
  • Practical understanding of BSI IT-Grundschutz, DevSecOps principles, and security controls for air-gapped environments.

Culture & Benefits

  • Permanent employment with flexible working hours, mobile working, part-time options, job sharing, and sabbaticals.
  • Reduced weekly hours and an adapted scope of tasks are possible.
  • 30 days of annual leave under the collective agreement based on a 35-hour week.
  • Company pension schemes, mobility benefits, bike leasing, and corporate discounts.
  • Professional development opportunities and international career perspectives.
  • Health programs, an on-site company doctor, cafeteria services, and childcare facilities at selected locations.

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