About the Role
You will operate and improve cloud infrastructure, CI/CD pipelines, Linux systems, monitoring, backups, and disaster recovery. You will also evaluate AI/ML models and vendors, build evaluation datasets and benchmarks, support integrations such as RAG and agent tooling, and help staff use AI tools safely.
Requirements
•2 to 4 years of DevOps experience
•Experience with CI/CD tooling, including GitLab CI and Jenkins
•Experience with AWS, Azure, or GCP
•Experience operating Linux systems, particularly Ubuntu
•Experience with Docker
•Knowledge of Terraform, Ansible, Python, Bash, Prometheus, Grafana, and ELK Stack
•Basic knowledge or hands-on experience with AI/ML models or APIs
•Fluent written and spoken English
Responsibilities
•Build, maintain, and improve CI/CD pipelines using GitLab CI and Jenkins
•Automate recurring operational processes and develop internal software
•Manage and optimize AWS, Azure, and GCP infrastructure
•Operate Linux systems and manage patching and updates
•Maintain monitoring, logging, alerting, backups, disaster recovery, and cloud cost optimization
•Manage incidents and troubleshoot production environments
•Evaluate AI/ML models, vendors, and self-hosted models
•Define AI/ML test criteria, benchmarks, and evaluation datasets
•Support AI/ML integrations, including RAG and agent tooling
•Document AI/ML best practices and support AI governance, compliance, and staff training
Benefits
•Corporate Benefits Program covering health, mobility, and learning for 100€ net per month
•Modern office facilities with a rooftop terrace
•Free drinks and fruit
•Regular company events
