PLATFORM ENGINEER

About the job Hard requirements (please DO NOT APPLY if you don't match all): • 3+ years of experience as a DevOps Engineer. • EU or Swiss nationality/C permit. 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 the Artificialy teams to streamline development workflows and reduce time-to-production. Required Skills • 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). • Minimum 2 years work experience in 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, AI engineers, software developers). 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 with competitive compensation and opportunities for technical leadership growth. • Access to cutting-edge hardware and modern DevOps stacks is also provided, along with mentorship and continuous learning in high-impact, production-grade AI systems. • This is a Hybrid (work from home & office) position.