Senior DevOps Engineer – Kubernetes, Automation & AI Platform

Your Tasks

• Design and further develop infrastructure entirely as code – declarative, versioned and reproducible with Terraform, Ansible and Helm
  
• Operate, scale and harden OpenShift/Kubernetes platforms for productive, highly available workloads
  
• Automate CI/CD pipelines for build, test, security checks, deployment and rollback and implement GitOps principles
  
• Develop automation and tooling solutions in Python, Bash or a comparable language such as Go or PHP
  
• Operate and further develop the central LLM gateway based on LiteLLM, including routing, fallbacks, tenants, quotas, caching and failover
  
• Make costs, usage, quality and security of AI workloads transparent and measurable
  
• Develop, containerise, integrate and operate AI agents and AI services stably in production
  
• Design monitoring, logging and tracing with Grafana, Prometheus, Splunk or Instana and conduct sustainable root cause analyses
  
• Implement exciting and challenging large customer projects – from requirements to stable productive operation
  
• Work closely with software development, IT operations, security and architecture as well as document systems, deployments and operational processes comprehensibly
  

Your Profile

• Degree in computer science or a comparable qualification with relevant practical experience
  
• At least five years of experience in ICT projects, with a substantial share in DevOps, platform engineering or SRE
  
• Solid practical experience with OpenShift or Kubernetes in productive operation as well as with Docker
  
• Very good knowledge of CI/CD, automation and deployment processes with Jenkins, GitLab CI or GitHub Actions, Git and Maven
  
• Sound experience with Terraform and Ansible as well as good programming experience for automation and tooling, preferably Python; other languages such as Go or PHP are welcome
  
• Confident handling of monitoring, logging and observability solutions
  
• Practical experience with AI-supported tools in everyday DevOps and interest in operating AI workloads
  
• Basic knowledge of message brokers such as Kafka or RabbitMQ as well as APIs and API gateways
  
• Experience with agile methods as well as Jira and Confluence
  
• Very good German, at least C1, and good English
  
• A clear plus: experience with LLM gateways, LiteLLM, AI agents, RAG, vector databases, public cloud, FinOps, OpenSearch/Elasticsearch, service mesh, policy-as-code or supply chain security
  

Our Promise

The competence and know-how of our employees is our most important asset. Therefore, we offer you interesting opportunities for your individual career planning and support you in your professional and personal development. Working with the latest technologies, responsible tasks and great freedom of decision form the foundation of our everyday work. Our goal is to be even more successful together, lived through recognition, trust and security.

Contact

If you have any questions about this position or the application process, please contact:
Samuel Zimmermann | samuel.zimmermann@akros.ch | 032 329 90 30