Ensure platforms run smoothly, scale efficiently, and remain reliable
Collaborate closely with development and customer success teams to enhance automation and maintain high performance standards
Design, deploy and operate Kubernetes clusters on-premises and in the cloud, applying GitOps principles with tools like Argo CD or Flux
Work with cross-functional teams to plan and execute seamless software rollouts
Ensure uptime, performance and security of applications and infrastructure through proactive management and continuous improvement
Create Grafana dashboards and integrate Prometheus for data collection, alerting and visualization of key metrics
Investigate and resolve issues related to observability, performance and scalability, keeping systems robust
Automate recurring tasks and provide tools to improve efficiency and scalability

Minimum 3 years of relevant experience
Solid experience managing production Kubernetes clusters and applications (on-prem and cloud)
Experience operating and architecting scalable, resilient, and cost-effective cloud solutions is a plus
Familiarity with GitOps workflows and deployment tools such as Argo CD or Flux
Proficiency with CI/CD tools like GitHub Actions, GitLab CI or similar platforms
Strong Linux administration skills and a good understanding of networking concepts and protocols
Proven ability to troubleshoot and resolve performance, scalability and observability challenges in production environments

Meaningful work: Support industrial companies in becoming more efficient and sustainable
Flexibility: Hybrid work model with home office options (two days per week) and flexible hours
Team spirit: A supportive, collaborative environment with plenty of space for exchange and cooperation
Community: Regular team events and shared activities
Work–life balance: 30 vacation days plus a flexible, agile work culture
Health: Subsidized local gym membership and the option for a company bike (for permanent employees)

DevOps Engineer, AI-based Energy Management

Key skills