✦ Luna Orbit — DevOps & SRE

DevOps Engineer (m/f/d)

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Onsite Posted March 16, 2026
Type Full-Time
Experience mid
Exp. Years 1+ years
Education Not specified
Category DevOps & SRE

This role involves supporting AI and machine learning project teams by developing and maintaining data pipelines, containerized applications, and automation workflows in an onsite environment.

  • Support AI project teams
  • Develop data pipelines
  • Manage containerized applications
  • Automate ETL processes
  • Document workflows

The technical scope includes Python-based data processing, Docker and Kubernetes for container orchestration, and supporting tools like SAP and Tesseract for data solutions.

The ideal candidate is a mid-level DevOps or platform engineer with experience in supporting machine learning and data pipelines, proficient in Python, Docker, and Kubernetes, with a collaborative mindset.

supporting KI project teamsdata processing pipelinesmachine learning pipelinesPythonDockerKubernetesapplication developmentdocumentationautomationETL processes
BI dashboardsloggingmonitoringtestingdata architecture
PythonScikit-learnKerasSpacyDockerKubernetesFlaskSAPTesseract
PythonScikit-learnKerasSpacyDockerKubernetesFlaskSAPTesseract
PythonScikit-learnKerasSpacyDockerKubernetesFlaskSAPTesseract
collaborationproblem-solvingcommunicationteamworkadaptability
Industry Telecommunications
Job Function Supporting data and AI project infrastructure
Role Subtype Platform Engineer
Tech Domains Python, Docker, Kubernetes, SAP, Tesseract
DevOps EngineerPythonDockerKubernetesMachine learning pipelinesData processingETLBI dashboardsloggingmonitoringtestingapplication developmentautomationmachine learning

Lack of experience with Docker or Kubernetes, No background in data pipelines or machine learning, No support for AI or data science projects

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