Ofertas › E Airbus Defence and Space GmbH
E Airbus Defence and Space GmbH · Munich, Germany · 70.000 - 100.000 € per year
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