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mimi

AI Platform & Cloud Engineer (m/w/d), Köln

Anstalt für kommunale Datenverarbeitung Bayern

Regensburg · Hybrid Mid Level 2mo ago

About the role

About

Wir machen Deutschlands Verwaltung digital. Gestalte mit uns Softwarelösungen für eine digitale und moderne Verwaltung, die das Miteinander von Bürger:innen und Verwaltungen in Städten sowie Gemeinden organisieren - bayern- und bundesweit.

Im Bereich AI & Cloud entwickeln wir skalierbare, sichere und souveräne KI-Lösungen für die öffentliche Verwaltung. Unser Anspruch ist es, generative KI produktiv, verantwortungsvoll und wirtschaftlich nutzbar zu machen. Dabei verbinden wir moderne Cloud-Architekturen mit hohen Anforderungen an Datenschutz, Stabilität und Nachhaltigkeit.

Your New Job as AI Platform & Cloud Engineer (m/f/d)

  • You will design and build a productive, scalable AI platform based on cloud and Kubernetes – not a proof-of-concept, but a real production system.
  • You will develop LLM and GenAI applications that make administrative processes measurably more efficient.
  • You will orchestrate different LLM providers and models and develop a flexible, interchangeable architecture.
  • You will establish clean DevOps and MLOps standards – from CI/CD to monitoring and observability.
  • You will automate infrastructure and deployments using Infrastructure as Code and container technologies.
  • You will take technical responsibility for performance, scalability, security, and sustainable operation in a regulated environment.

This is You

  • Several years of experience in building and operating cloud-native systems in a production environment – ideally with Kubernetes, Docker, and Infrastructure as Code (e.g., Terraform, Helm).
  • Very good knowledge of Python (Go is a plus) and a solid understanding of software engineering for robust, maintainable systems.
  • Practical experience with machine learning frameworks (e.g., PyTorch or TensorFlow) and production-deployed LLM architectures or GenAI applications.
  • Experience with CI/CD, DevOps, and ideally MLOps principles, including monitoring stacks (e.g., Prometheus, Grafana) and workflow orchestration (e.g., Airflow).
  • Confident use of relational databases (e.g., PostgreSQL) and a good understanding of performance and scaling issues of distributed systems.
  • Technical architectural thinking, a commitment to quality, and ideally experience in a regulated environment (data protection, security-by-design).

What We Offer You

  • Experience an approachable and value-driven leadership & corporate culture that supports innovative and self-directed work.
  • Choose a secure workplace: Our employment contracts come with an attractive salary and are usually permanent.
  • Stay flexible in terms of time: Together with your team, you will plan your workday between flextime and mobile working. Work from home up to 60%.
  • Enjoy your life beyond work: 30 days of vacation + 3 paid days off ensure a good work-life balance.
  • Combine work and vacation: Use up to 30 days of workation in the European Economic Area (including Iceland, Liechtenstein, Norway, and Switzerland) – simply coordinate with your team and get started!
  • Develop yourself: Study part-time with our support and be accompanied on your path by further training, talent management, and more.
  • Work in a pleasant environment with excellent public transport connections: Our modern offices are centrally located depending on the site and feature a roof terrace, underground parking...
  • Enjoy our feel-good goodies: Benefit from our corporate benefits, e.g., subsidized childcare, discounted Deutschlandticket, and changing employee events.

If you have any questions, please feel free to contact the recruiting team at 089/5903-1780. We look forward to receiving your online application, including your salary expectations and earliest possible start date.

Skills

AirflowCloudContainer-TechnologienCI/CDDockerGenAIGoGrafanaHelmInfrastructure as CodeKubernetesLLMMachine LearningMLOpsMonitoringObservabilityPostgreSQLPrometheusPyTorchPythonSoftware-EngineeringTensorFlowTerraform

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