AI & Analytics DevOps Engineer Germany

Salary: 70.000 - 100.000 € per year

Requirements:

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 multidisciplinary teams and auditors.

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

Fluent German and English, with excellent writing skills.

Responsibilities:

Oversee and actively participate in the deployment, operation, and maintenance of our AI and Analytics products and services, with a focus on Generative AI and Agentic LLMs in secure, on-premise national environments.

Support our AI & Data Analytics Product Owner by facilitating continuous integration and delivery of AI releases, validating developed solutions, and ensuring adherence to applicable DevOps practices.

Manage compliance with IT-Grundschutz and other German national security requirements, working closely with our Security Office to align infrastructure and deployments with security requirements.

Manage necessary infrastructure improvements and contribute to our internal Communities of Practice.

Design, deploy, and administer AI and analytics applications through robust CI/CD pipelines to automate software delivery in 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 our AI & Data Analytics Product Owner to streamline application delivery.

Create 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, particularly for high-demand GPU hardware.

Technologies:

AI

Bash

CI/CD

DevSecOps

DevOps

Docker

GitLab

Grafana

Hardware

Support

Jenkins

Kubernetes

MLOps

Mobile

Model Serving

OpenShift

Podman

Prometheus

Product Owner

Python

Qlik

Security

Serverless

vLLM

More:

We are Airbus Defence and Space GmbH, and we are looking for a DevOps Engineer - AI & Analytics (d/f/m) to support our AI & Analytics team in Ottobrunn, near Munich. We develop digital capabilities and flagship applications and platforms including DAISEI, AgentHub, Quality Analytics, and Qlik visualization services. We provide services in non-restricted environments and through highly secure, on-premise deployments using advanced large language model technologies. This role offers the opportunity to shape AI & Analytics products in Germany and support digital sovereignty. The position is permanent, at professional experience level, in our Digital job family, and is also available with reduced weekly hours and an adapted scope of tasks. We offer attractive remuneration and additional benefits, 30 days of annual leave based on our collective agreement, flexible and mobile working, part-time options, professional development and international career opportunities, health programs, and a diverse, inclusive working environment. Our Ottobrunn site is near Munich, with the Alps and Lake Starnberg within an hours reach. We support flexible working arrangements wherever possible and welcome applications from people of all backgrounds.

last updated 42 week of 2026