DevOps Engineer

Essentials (please DO NOT APPLY if you don't match all three):You should have EU or Swiss nationality/C permit.You should be top 5% both at your Bachelor and at your Master.You should upload your full transcripts.RoleDesign, implement, and maintain robust infrastructure to support scalable AI/ML workloads in production.Ensure high availability, reliability, and security of Artificialy’s services across cloud and on-prem environments.Develop and manage CI/CD pipelines for rapid and safe deployment of software and machine learning models.Monitor system health, performance, and resource usage; implement alerting and incident response strategies.Automate infrastructure provisioning and configuration management using tools like Terraform, Ansible, or equivalent.Collaborate with software and MLOps teams to streamline development workflows and reduce time-to-production.Required skills and qualificationsMaster’s degree (top 5%) in Computer Engineering, Computer Science, or related technical field.Strong Linux systems knowledge and scripting abilities (e.g., Bash, Python).Solid experience with containerization technologies (Docker) and orchestration platforms (Kubernetes).Familiarity with Infrastructure-as-Code (e.g., Terraform, Ansible, Helm).Experience building CI/CD pipelines with tools like GitLab CI, GitHub Actions, Jenkins, or similar.Understanding of networking concepts, security best practices, and system monitoring (e.g., Prometheus, Grafana).Ability to work autonomously and collaboratively with cross-functional teams (MLOps,CV/NLP, software).Desirable skillsExperience with hybrid cloud/on-premises environments.Familiarity with cloud platforms such as AWS, Azure, or GCP.Experience managing GPU clusters and distributed computing environments.Proficiency with log management and incident analysis (e.g., ELK stack, Loki).Exposure to AI/ML toolchains and workflows (e.g., MLflow, Weights & Biases, Triton).Fluency in Python for tooling and automation.We offerFull-time permanent contract.Competitive compensation and opportunities for technical leadership growth.Access to cutting-edge hardware and modern DevOps stacks.Mentorship and continuous learning in high-impact, production-grade AI systems.