We are looking for an experienced, motivated mid-level professional for a dual role: classic IT DevOps
This position is a great fit for someone who wants to combine technical infrastructure expertise with an interest in current AI/ML developments.
The role sits in internal IT and is not part of robotics product development.
The two areas are not equally plannable: production operations take precedence, and AI/ML evaluation runs as project work around operational load.
</p> <h4>Responsibilities :</h4> <p></p> <ul> <li><strong>CI/CD, Automation & Software Development:</strong> Build, maintain, and improve CI/CD pipelines using GitLab CI and Jenkins; automate recurring operational processes; collaborate with development teams on deployment processes; develop small-scale internal software for IT and other internal departments; support software integrations, particularly Entra ID, Active Directory, and SSO.
</li> <li><strong>Cloud, Infrastructure & Operations:</strong> Manage and optimize AWS, Azure, and GCP infrastructure; use Infrastructure as Code (Terraform, Ansible), Docker and Kubernetes on select projects (not a global standard); operate the largely Linux-based landscape (approx.
80–85% Ubuntu), including patch/update management; ensure availability, scalability, security, monitoring, logging and alerting (Prometheus, Grafana, ELK); manage backup/disaster recovery and cloud cost optimization.
</li> <li><strong>Production Support & AI/ML Evaluation:</strong> Manage incidents and troubleshoot production environments (no on-call rota currently planned; if introduced, it will be agreed and compensated separately); evaluate AI/ML models and vendors (e.
OpenAI, Anthropic, Google, Microsoft Azure AI) for performance, cost, suitability, cost-benefit, and licensing; evaluate open-weight/self-hosted models (e.
vLLM, Ollama) where data reside.