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 locationOur 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 YouFair 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 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.
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.
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 Company’s success, reputation and sustainable growth.
Company:
Airbus Defence and Space GmbHEmployment Type:
Permanent-------
Experience Level:
ProfessionalJob Family:
DigitalBy submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
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.
Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to [email protected].
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.
Skills Required
- Master’s degree in Computer Science, Cybersecurity, Information Technology, Engineering, or a related field, preferably specializing in distributed systems, MLOps, or DevSecOps
- 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
- Experience with monitoring tools such as Prometheus or Grafana
- Familiarity with AI/ML lifecycles and local AI model serving, including GPU resource management or vLLM
- Proficiency with scripting languages such as Python, Bash, or Go
- Understanding of BSI IT-Grundschutz standards, DevSecOps principles, and security controls for air-gapped environments
- Strong collaboration, problem-solving, and communication skills when working with multidisciplinary teams and auditors
Airbus Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Airbus and has not been reviewed or approved by Airbus.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive in several locations, including medical, dental, and vision options available from day one in the U.S. Access to life insurance, disability coverage, and employee assistance/wellbeing support adds breadth to the health offering.
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Retirement Support — Retirement support is framed as a meaningful part of the package through plans such as a 401(k) with company matching in the U.S. These programs strengthen long-term financial security beyond base wages.
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Leave & Time Off Breadth — Time-off provisions are described as generous in some settings, including vacation availability from day one and extended holiday coverage. Flexible working arrangements and hybrid options further increase the perceived value of time-related benefits.
Airbus Insights
What We Do
Airbus is a global leader in aeronautics, space and related services. In 2020, it generated revenues of €49.9 billion and employed a workforce of around 130,000. Airbus offers the most comprehensive range of passenger airliners. Airbus is also a European leader providing tanker, combat, transport and mission aircraft, as well as one of the world’s leading space companies. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions worldwide. Airbus is an international pioneer in the aerospace industry and a leader in designing, manufacturing and delivering aerospace products, services and solutions to customers on a global scale. We believe that it’s not just what we make, but how we make it that counts; promoting responsible, sustainable and inclusive business practices and acting with integrity. Our people work with passion and determination to make the world a more connected, safer and smarter place, on the ground, in the sky and in space.
