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DevOps Engineer - AI & Analytics

New

Job

  • Level
    Experienced
  • Job Field
    IT, DevOps, Security
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Location
    Munich
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you will oversee the deployment and maintenance of AI and analytics tools in secure environments, automate workflows with CI/CD tools, and ensure compliance with security standards.

    Job Technologies

    Your role in the team

    • 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.
    • Schnittstelle zum Sicherheitsamt, um operative Arbeitsabläufe und Infrastruktur mit den BSI IT-Grundschutz-Standards und nationalen Sicherheitsanforderungen abzustimmen.
    • 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.

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    Our expectations of you

    Education

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

    Qualifications

    • 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.

    Experience

    • At least three years of experience in DevOps and continuous delivery practices.
    • Starke Erfahrung in Containerisierung und Orchestrierung, insbesondere mit Kubernetes, OpenShift, Docker oder Podman.

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    What we offer

    • This role is also available with reduced weekly hours and an adapted scope of tasks.
    • Our site is just a stone's throw away from Munich, the beautiful capital of Bavaria.
    • 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.

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    Benefits

    Work-Life-Integration

    Health, Fitness & Fun

    Food & Drink

    Higher Take-Home Pay

    Topics You Will Work On

    Job Locations

    • Location Munich

      Bayern

      Germany

    About Your Employer

    Airbus Deutschland GmbH

    Airbus Deutschland GmbH

    Airbus is the world's leading provider of air and space transportation, as well as related services.

    Description

  • Language
    English
  • Company Type
    Established Company
  • Working Model
    Full Remote, Hybrid, Onsite
  • Industry
    Vehicle Manufacturing, Supplier, Industry, Production
  • Employer reviews

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    3.3
    • Career Growth

      3.2
    • Engineering

      2.8
    • Workingconditions

      4.0
    • Culture

      3.5
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    Logo Airbus Deutschland GmbH

    DevOps Engineer - AI & Analytics

    Location
    Munich
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders

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