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AI & Analytics DevOps Engineer Germany

in 85521, Ottobrunn, Bayern, Deutschland
Unternehmen: Airbus
Teilzeit position
Verfasst am 2026-09-22
Berufliche Spezialisierung:
  • IT/Informationstechnik
    Künstliche Intelligenz Ingenieur
Gehalts-/Lohnspanne oder Branchenbenchmark: 80000 - 110000 EUR pro Jahr EUR 80000.00 110000.00 YEAR
Stellenbeschreibung
Location: Ottobrunn

Job Description:

In order to support the AI & Analytics team, Airbus Defence and Space in Ottobrunn is looking for a Dev Ops Engineer – AI & Analytics (d/f/m)

At Airbus Defence and Space, we are dedicated to pioneering sustainable aerospace for a safe and united world.

Our AI & Analytics team delivers cutting-edge digital capabilities that empower data-driven intelligence across operations. As part of our strategic roadmap, we develop flagship applications and platforms such as DAISEI, Agent Hub, Quality Analytics and Qlik visualization services.

We provide these services across non-restricted environments as well as on-premise, highly secure deployments running advanced large language model technologies (such as Mistral AI) within the German national environment.

This role offers an opportunity to shape current and future AI & Analytics products operating in Germany to support digital sovereignty for our landscape.

This role is also available with reduced weekly hours and an adapted scope of tasks.

Your location

Our site is just a stone’s throw away from Munich, the beautiful capital of Bavaria. Are you into sports and other outdoor activities?

The Alps and Lake Starnberg are within an hour’s reach, offering a multitude of recreational options.

Our Benefits for You
  • Fair Compensation & Extras: Attractive remuneration and individual additional benefits, such as company pension schemes, mobility offers (e.g., bike leasing), or corporate discounts with partner companies in accordance with our current guidelines.
  • Time for You (and Your Loved Ones): 30 days of annual leave based on our collective agreement (35-hour week); work-life balance through flexible working hours (flextime), mobile working, part-time options, job sharing, and sabbatical opportunities.
  • Growth Made Easy: Excellent professional development opportunities and international, group-wide career perspectives.
  • Feel Good at Work: On-site company doctor; comprehensive health programs (sports courses, preventive care, etc.), canteen and cafeteria, and local childcare facilities at selected locations.
  • Diversity Connects: Work in a diverse environment with more than 140 nationalities, where exchange, mutual support, and inclusion are part of our DNA.
Your tasks and responsibilities

We are seeking a passionate and experienced Dev Ops Engineer to oversee and actively participate in the deployment, operation, and maintenance of AI & Analytics products and services, with a specialized focus on Generative AI / Agentic LLMs deployed strictly on secure, on-premise national environments. In this role, you will work hand-in-hand to support the AI & Data Analytics Product Owner by facilitating the continuous integration and delivery of AI releases, validating developed solutions, and ensuring strict adherence to all applicable Dev Ops practices.

Crucially, you will manage compliance with IT-Grundschutz and other German national security requirements. Working in close alignment with the Security Office, you will ensure our infrastructure and deployments adequately adapt to stringent security dictates. You will manage necessary infrastructure improvements and contribute to our internal Communities of Practice. Your expertise in established on-premise environments (e.g., Open Shift, standard Kubernetes, Docker, Podman) will be fundamental for navigating the complex security landscape and for ensuring the German-national and European digital sovereignty of AI solutions by Airbus Defence and Space.

  • Design, deploy, and administer AI and analytics applications via robust CI/CD pipelines to automate software delivery within restricted on-premise networks.
  • Ensure continuous availability, performance, and monitoring of local generative AI applications hosted on Open…
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