DevOps Engineer

vor 2 Wochen

Lugano, Tessin, Schweiz Artificialy Vollzeit

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.

Role

  • Design, 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 qualifications

  • Master'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 skills

  • Experience 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 offer

  • Full-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.

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