AI DEVOPS ENGINEER - Information Retrieval (m/f/d)

Make an amazing climb in your career in an international team of experts. Our company provides technological services for the whole Schwarz group of more than 30 countries in Europe and the US. Our vision is to be the leading ecosystem for a better life. We built the European sovereign cloud STACKIT. With XM Cyber we set new standards in differing cyber crimes. We run AI better than anyone. With us you will find a variety of opportunities to grow and do your best at your calling – IT. We exist to improve life with our products and services - for today's generation and future generations. We act future proof!

The impact You will create:

• Develop and deploy innovative, scalable, and secure analytical data products and MLOps architectures, taking them from proof-of-concept through to robust production systems.
• Engineer and manage resilient Infrastructure as Code (IaC) and CI/CD pipelines (ideally Azure DevOps), setting new standards for efficient and high-quality software delivery.
• Implement and maintain comprehensive monitoring, observability (Prometheus, Grafana, OpenTelemetry), and security solutions (SAST/SCA, GDPR/AI Act compliance) for AI applications.
• Translate complex AI product requirements into well-tested, maintainable software solutions using your extensive Python and software engineering expertise.
• Collaborate effectively within interdisciplinary agile teams, working alongside data scientists, data engineers, and product owners to bring AI projects to life.
• Act as a coach and mentor, sharing your deep technical knowledge, fostering a culture of high code quality, and guiding teammates in solving complex challenges.

Experience and skills you will need:

• A degree in Computer Science or a related field, with a minimum of 5 years of profound experience in software development with Python, building scalable and testable applications.
• Expertise in CI/CD (Azure DevOps preferred), Infrastructure as Code, containerization (Kubernetes), and cloud platforms (GCP ideally), coupled with strong Git and shell scripting skills.
• Demonstrable experience in designing and implementing MLOps strategies, commissioning AI projects, and building/maintaining data pipelines (e.g., Airflow).
• High standards for code quality (Ruff, Mypy, Unit/Integration/E2E testing) and a solid understanding of IT security (GDPR, AI Act, OAuth2) and SAST/SCA tools (SonarQube, Snyk).
• Excellent English communication skills (written and spoken), a collaborative team-player mindset, strong problem-solving abilities, and a proactive curiosity for new technologies; German language skills are an advantage.
• Hands-on experience with monitoring/observability tools (Prometheus, Grafana, OpenTelemetry) and ideally, familiarity with frontend development in Vue.js