Jobs / MARKANT Gruppe

DevOps Engineer (m/w/d) für Daten- und KI-Plattformen

MARKANT Gruppe · Offenburg, BW, Deutschland
Offenburg, BW, DeutschlandExp: 2+ yrsRemote
Remuneration
Not specified
Location
Offenburg, BW, Deutschland
Visa sponsorship
Not specified

Job summary

Manage and develop the cloud infrastructure for a data and AI platform, ensuring scalable and reliable operations through automation. Operate Kubernetes platforms and workloads, support data engineers and data scientists in deploying and optimizing data and AI solutions, and contribute to platform standards and documentation. The role uses Microsoft Azure and modern DevOps practices, including CI/CD and Infrastructure as Code, with attention to cloud security, IAM, and governance.

Benefits

Height-adjustable desksCorporate benefits programElectric vehicle charging stationsSubsidized staff restaurantFlexible working hoursHansefitMobile work

Qualifications

  • Completed technical vocational training, an IT degree, or an equivalent qualification.
  • At least two years of practical experience with cloud technologies and modern platform environments.
  • Knowledge of Microsoft Azure and operating containerized applications with Kubernetes.
  • Experience with DevOps practices such as automation, CI/CD, or Infrastructure as Code.
  • Understanding of cloud security, IAM, and governance.
  • Exposure to data platforms, analytics, or AI solutions is advantageous.
  • Independent, solution-oriented approach and hands-on mindset.

Responsibilities

  • Manage cloud infrastructure for a data and AI platform.
  • Automate infrastructure to ensure scalable and reliable operations.
  • Operate and develop platforms and workloads running on Kubernetes.
  • Support data engineers and data scientists in deploying and optimizing data and AI solutions.
  • Collaborate with business departments, developers, and platform teams.
  • Contribute to technical standards, documentation, and team knowledge sharing.

Skills

AzureIAMKubernetes

Work schedule

Flexible working hours

Industry

Data platformsArtificial intelligence

Relocation

No