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DevOps Engineer (50–80%)
Location: Zurich or Davos, Switzerland (hybrid)
Start: 1 November 2025
AlpineAI is one of Switzerland’s hottest generative AI startups, specializing in trusted AI solutions for system-critical sectors.
Your Role
As a DevOps Engineer, you will work closely with our AI and development team to ensure that our services and LLM-powered applications run reliably, securely, and efficiently in production. You will be responsible for building, maintaining, and scaling infrastructure, CI/CD pipelines, and deployment processes. You will also set up monitoring, automation, and help integrate models seamlessly into production environments.
Your Responsibilities
- Automate deployments of models and services in cloud and/or on-premise environments
- Manage infrastructure (Kubernetes) and optimize for scalability, reliability, and cost-efficiency
- Set up monitoring, logging, and alerting for our systems, including performance tuning
- Collaborate with developers and AI engineers to apply DevOps best practices and ensure stable production environments
- Ensure infrastructure security and compliance (e.g., access control, data handling, certificates management)
- Document deployments, system architectures, and operational processes
- Support troubleshooting, release management, and rollback strategies
Your Profile
- Several years of experience as a DevOps Engineer or in a similar role
- Hands-on experience with container technologies (Docker, Kubernetes)
- Strong knowledge of CI/CD pipeline tools (e.g., Jenkins, GitLab CI, GitHub Actions)
- Familiarity with on-premise DevOps infrastructure
- Solid programming/scripting skills (e.g., Python, Cursor)
- Experience with monitoring and logging tools (ELK, Prometheus, Grafana etc.)
- Structured, analytical, and well-documented work style
- Strong communication skills and ability to collaborate with interdisciplinary teams
- Understanding of ML model deployment and model serving (e.g., TensorFlow Serving, TorchServe, MLflow) is a plus
What We Offer
- Flexible part-time workload (50–80%) with the possibility to adapt your working percentage depending on personal needs and project phases
- Opportunity to join an innovative, forward-looking AI startup with high ownership and responsibility
- Potential for equity participation after the initial ramp-up phase
- Flat hierarchies and close collaboration with experienced engineering and AI professionals
- Exciting challenges with global impact and the chance to help shape AI infrastructure from the ground up
Do Not Apply If
- You are not fluent (professional level) in English & German.
- You don’t have permission to work in Switzerland.
- You’re unwilling to work from Zurich or Davos.
Apply with your CV and cover letter, today: [email protected]
Key Skills
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