AI & Analytics DevOps Engineer Germany

Job Description:

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 AgentHub 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.

Our site is just a stones 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 hours reach offering a multitude of recreational options.

• 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.

We are seeking a passionate and experienced DevOps 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 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 DevOps 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. OpenShift 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 OpenShift and Kubernetes environments.

• Facilitate automated workflows and tools for development teams and the AI & Data Analytics Product Owner to streamline application delivery.

• Interface with the Security Office to align operational workflows and infrastructure with BSI IT-Grundschutz standards and national security requirements.

• Create clear technical documentation architecture diagrams runbooks and standard operating procedures to maintain continuous audit readiness.

• Participate in incident response and refine disaster recovery strategies to maximize resilience in air-gapped setups.

• Conduct technical evaluations and proof-of-concept testing for emerging technologies including container orchestration and GPU serverless runtimes.

• Monitor and optimize resource usage across on-premise infrastructure specifically for high-demand GPU hardware.

• Masters degree in Computer Science Cybersecurity (specializing in Distributed Systems MLOps or DevSecOps) Information Technology Engineering or a related field.

• At least three years of experience in DevOps and continuous delivery practices.

• Strong experience in containerization and orchestration specifically with Kubernetes OpenShift Docker or Podman.

• Hands-on knowledge of automated CI/CD tooling (such as Jenkins or GitLab CI) and monitoring stacks (such as Prometheus or Grafana).

• Familiarity with the AI/ML lifecycle local AI model serving (such as GPU resource management or vLLM) and scripting languages (such as Python Bash or Go).

• Practical understanding of BSI IT-Grundschutz standards DevSecOps principles and security controls for air-gapped environments.

• Strong collaborative problem-solving and communication skills for working effectively with multi-disciplinary teams and auditors.

• This position requires a security clearance or eligibility for clearance by the recognized authorities.

• You speak fluent German and English with excellent writing skills.

Not a 100% match No worries! Airbus supports your personal growth with customized development solutions.

Take your career to a new level and apply online now!

#MYCYM

This job requires an awareness of any potential compliance risks and a commitment to act with integrity as the foundation for the Companys success reputation and sustainable growth.

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