onsite
Infrastructure Engineer, AI - CIM GROUP
Devops Engineer
Design, build, and maintain scalable AI infrastructure on Microsoft Azure, leveraging Kubernetes, Terraform, and automation tools to support data science and machine‑learning workloads.
About the role
Key Responsibilities
- Architect and implement secure, high‑performance AI infrastructure on Azure, including compute, storage, and networking resources.
- Deploy, manage, and optimize Kubernetes clusters for machine‑learning workloads, ensuring reliability and scalability.
- Automate provisioning and configuration using Terraform and CI/CD pipelines (e.g., Azure DevOps, GitHub Actions).
- Collaborate with data scientists and software engineers to integrate AI models into production environments.
- Monitor system performance, troubleshoot issues, and implement improvements for cost efficiency and resilience.
Requirements
- 3+ years of experience in cloud infrastructure engineering, preferably with Microsoft Azure.
- Strong hands‑on skills with Kubernetes, containerization, and infrastructure‑as‑code tools such as Terraform.
- Proficiency in scripting or programming languages, especially Python, for automation and tooling.
- Experience building CI/CD pipelines and working with Linux‑based environments.
- Solid understanding of networking, security, and monitoring best practices for AI/ML workloads.
Skills
azurekubernetesterraformpythoncicdlinux