TOMRA

Platform Engineer*

Mülheim-Kärlich, RP, Germany · Hybrid · Full-time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

  • EmployerTOMRA
  • LocationMülheim-Kärlich, RP, 56218, Germany
  • Work styleHybrid
  • Employment typeFull-time
  • Employer posted

As Platform Engineer, you will help build, run and improve the technical platforms that enable TOMRA’s software development, CI/CD, product security and machine learning activities.

This role is well suited for someone who enjoys solving technical problems, automating manual work, improving reliability and creating platforms that help development teams move faster and more securely.

  • Support the implementation and operation of platform infrastructure for software development and CI/CD
  • Hands-on setup and maintenance of on-premises R&D platform infrastructure like build servers, AI training and inference hardware
  • Help maintain Kubernetes clusters, virtual machines and shared engineering services
  • Contribute to infrastructure-as-code, GitOps workflows and platform automation
  • Support developer tooling and CI/CD services such as GitLab, Artifactory and related integrations
  • Assist in improving platform security, access control, system hardening and vulnerability handling
  • Automate repetitive operational tasks and improve the efficiency of engineering workflows
  • Monitor platform services, investigate incidents and support troubleshooting and root cause analysis
Show full description
  • Basic to solid understanding of Kubernetes, containers and modern platform infrastructure
  • Experience with automation, scripting or infrastructure as code
  • Familiarity with Git, CI/CD pipelines and software delivery workflows
  • Interest in platform security, secure software delivery and reliable operations
  • Experience with Bash, Python, PowerShell or similar scripting languages
  • Good English skills spoken and written
  • At least basic knowledge of German
  • Experience with GitLab, Artifactory, Kubernetes, Ceph or Azure is an advantage
  • Experience in mixed Linux and Windows environments is an advantage
  • Requires relevant education or vocational training in computer science, IT, or a related field, or equivalent practical experience.

What to Expect

  • Modern technologies and AI-driven systems
  • A hands-on engineering environment with direct impact on machine performance
  • Close collaboration with international teams
  • Informal culture with low hierarchies and short decision paths
  • Norwegian company culture with an open “you” mentality
  • Opportunity to actively shape future machine developments

What We Offer

  • Hybrid working model
  • Flexible and international working environment
  • Modern office and testing facilities
  • Sustainable and future-oriented industry
  • Competitive salary package including bonus
  • Laptop and mobile phone
  • Long-term development opportunities within an international technology company

If you enjoy solving complex technical challenges and want to see your software running on real industrial machines, we would love to hear from you.

Does this sound like the right opportunity for you?

Please send your CV, a few words about yourself, and your motivation for this position and joining TOMRA in the "Message to manager" field.

Application Process: We will review applications throughout the posting period and expect to start first-round interviews from early August 2026 onwards.

*Tomra does not differentiate on the basis of gender, race or ethnicity, religion, color, sexual orientation or identity, disability, age and other protected statuses as given by applicable law. We are committed to creating a diverse and inclusive environment and are proud to be an equal opportunity employer.

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At a glance

  • Work styleHybrid
  • Employment typeFull-time
  • SeniorityEntry level
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

Python Azure Kubernetes Machine learning

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