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# Senior DevOps Engineer Hybrid Infrastructure bei MOTOR Ai GmbH ausgewählt

- **Company:** PHARMATECHNIK GmbH & Co. KG
- **Location:** Berlin, Germany (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Training Data, Active Directory, Artificial Intelligence, Amazon Web Services, Cloud Computing, DevOps, Ansible, Prometheus, Software Engineering, Transmission Control Protocol (TCP), Okta, Grafana, Data Lakes, Kubernetes, Information Technology, Terraform, Docker
- **Published:** September 17, 2026
- **Apply:** https://jobs.meinestadt.de/berlin/standard?id=260038776

## About the Role

* A completed degree in computer science, business informatics, software engineering, cloud computing, or an IT apprenticeship
 * A minimum of 6 years of proven experience in systems administration and DevOps and a proven track record in a modern DevOps environment
 * Mastery of Kubernetes (EKS), Docker, and Ansible
 * Extensive experience using Terraform and frameworks such as Grafana and Prometheus
 * Deep understanding of TCP/IP networking and identity providers like Keycloak or Active Directory
 * A "fix-it-once-and-automate" mentality, combined with a high degree of openness toward new tools like GPUaaS
 * The ability to evaluate and integrate emerging NeoCloud providers into a cohesive hybrid strategy
 * A genuine love of learning and a proactive growth mindset that embraces trying new things and viewing mistakes as vital opportunities for technical evolution
 * Fluency in spoken and written English; knowledge of German is an advantage

## Description

Data Lake
Evolution
Administration
Ansible
Spirit
SAFe
Active Directory
Cloud Computing
Motor
Software-Engineering
across
Übersetzungssoftware
Transport
AWS
Streamline
Hybrid
Docker
Grafana, * Handling the end-to-end administration of our Kubernetes environment and optimizing CI/CD pipelines through Terraform and Ansible

 * Managing resources across AWS (EKS) and innovative NeoCloud providers to ensure a seamless, high-performance architecture
 * Oversight of training data within a Data Lake, including the implementation of sophisticated filters for incoming streams and the removal of noise from training phases
 * Serving as a high-level technical consultant to solve complex problems for development teams and streamline internal workflows
 * Implementing and maintaining technical monitoring using Grafana and Prometheus to ensure high performance and stability during core business hours


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