AI & Analytics DevOps Engineer Germany

Airbus; Ottobrunn; Vor Ort; EUR 80.000 - 110.000; Vollzeit

Benefits dieser Stelle

Company pension schemes

Bike leasing

Flexible working hours

Mobile working

Zusammenfassung

Airbus Defence and Space GmbH in Ottobrunn is seeking a DevOps Engineer for AI & Analytics to oversee on-premise deployments of Generative AI and related platforms with strict security norms. You will drive CI/CD pipelines, automate workflows, and collaborate with the Security Office to meet national standards.

The role emphasizes OpenShift/Kubernetes expertise, on-premise tooling, and GPU resource optimization, with opportunities for flexible schedules and career growth within a diverse,

Qualifikationen

• Master's degree in CS or cybersecurity-related field.
• 3+ years of experience in DevOps and continuous delivery.
• Hands-on with Kubernetes/OpenShift and container runtimes (Docker/Podman).
• Experience with CI/CD tooling and monitoring stacks.

Aufgaben

• Design, deploy, and manage CI/CD pipelines for AI & Analytics on-premise networks.
• Ensure availability, performance, and monitoring of AI apps on OpenShift/Kubernetes.
• Facilitate automated workflows for development teams and product owner.
• Interface with Security Office to align with IT-Grundschutz and security requirements.
• Create architecture diagrams, runbooks, and SOPs for audit readiness.
• Participate in incident response and disaster recovery planning.
• Evaluate new technologies, including container orchestration and GPU runtimes.
• Monitor and optimize resource usage for on-premise GPU hardware.

Kenntnisse

DevOps

Kubernetes

OpenShift

Docker

Podman

Jenkins

GitLab CI

Prometheus

Grafana

Python

Bash

Go

Ausbildung

Master’s degree in CS / Cybersecurity

Tools

Kubernetes

OpenShift

Docker

Podman

Jenkins

GitLab CI

Prometheus

Grafana

Jobbeschreibung

Job Description:

In order to support the AI & Analytics team, Airbus Defence and Space in Ottobrunn is looking for a DevOps 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, 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.

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 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 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 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.

Desired skills and qualifications

• Master’s 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.

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

#MYCYM

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

Company:

Airbus Defence and Space GmbH

Employment Type:

Permanent

Experience Level:

Professional

Job Family:

Digital

Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.