Senior DevOps Engineer Kubernetes / AI Platform

Job Information ######

Work location: Luzern Workload: 80-100 % Tasks: You design and develop infrastructure completely as code (Terraform, Ansible, Helm) and operate, scale and harden OpenShift/Kubernetes platforms for highly available workloads. You automate CI/CD pipelines for build, test, security checks, deployment and rollback according to GitOps principles and develop automation and tooling solutions in Python, Bash or Go. In addition, you operate and further develop the central LLM gateway based on LiteLLM (routing, fallbacks, tenants, quotas, caching, failover), design monitoring, logging and tracing (Grafana, Prometheus, Splunk, Instana) and implement demanding large-scale customer projects up to stable operation. Profile: Degree in computer science or comparable training with practical experience, at least five years of experience in ICT projects, of which a substantial part is in DevOps, Platform Engineering or SRE. Sound practice with OpenShift/Kubernetes and Docker, very good knowledge in CI/CD (Jenkins, GitLab CI, GitHub Actions), Git and Maven as well as solid experience with Terraform and Ansible. Offered: demanding large-scale customer projects, close cooperation with software development, IT operations, security and architecture as well as opportunities for professional development.

Required Skills ######

• Security
• Testing
• Monitoring
• Python
• Machine Learning
• Bash
• Go
• DevOps