OpenShift / Data & AI Platform Engineer

Responsibilities

• Build, administration, and operation of a containerized data and AI platform based on Red Hat OpenShift and OpenShift AI
• Operation and further development of Kubernetes and container platforms
• Administration and operation of MongoDB Enterprise Advanced
• Performance tuning as well as backup and recovery tasks in the MongoDB environment
• Integration and operation of modern data engineering and AI technologies
• Development and automation of data processes with Python, Apache Kafka, and Apache Airflow
• Support for data science and exploratory data analysis use cases
• Provisioning and operation of ML workloads on OpenShift AI
• Support for innovative AI use cases in a security-critical authority environment
• Automation and optimization of existing platform and operational processes

Requirements

Framework parameters:

• Several years of experience with Red Hat OpenShift and OpenShift AI
• Very good knowledge in Kubernetes administration and operation of container platforms
• Experience with platform automation
• Very good knowledge of MongoDB Enterprise Advanced, including administration and performance tuning
• Experience with backup, recovery, and operation of large MongoDB environments
• Very good knowledge of Python, Apache Kafka, and Apache Airflow
• Sound knowledge in data science and exploratory data analysis
• Experience with AI platforms and ML workloads
• Knowledge of Trino and Project Nessie is desirable
• Knowledge of agent-based AI solutions and frameworks is an advantage
• Experience with Hugging Face and open-source AI models is desirable
• Location: Remote
• Duration: 01.10.2026
• 31.12.2026 + option for extension
• Utilization: Full utilization

Project details

• Start: flexible
• Remote: remote
• Location: Remote, DE
• Languages: German