Infrastructure Enginner

We are looking for an Infrastructure Engineer to design, deploy, and maintain robust and scalable infrastructure supporting our data and AI workloads. The role covers compute, storage, networking, and security layers, ensuring high availability, performance, and operational excellence across distributed environments.

• Design, provision, and maintain infrastructure for data platforms and ML workloads, including compute clusters, storage systems, and networking components.
• Implement automation and configuration management using tools such as Ansible, Terraform, or CloudFormation.
• Monitor, troubleshoot, and optimize infrastructure performance, ensuring high availability and disaster recovery.
• Collaborate with data engineers, ML engineers, and DevOps teams to support pipeline scalability and reproducibility.
• Manage containerized environments with Docker and Kubernetes, including orchestration of microservices and ML workloads.
• Implement security best practices, access controls, and compliance policies across cloud and on-premises environments.
• Build and maintain observability frameworks for system monitoring, logging, and alerting.

• Strong experience with Linux/Unix systems, networking, and cloud platforms (AWS, GCP, Azure).
• Hands-on experience with Kubernetes, Docker, Terraform, Ansible, or similar orchestration/configuration tools.
• Solid understanding of distributed systems, storage architectures, and high-availability clusters.
• Experience supporting data-intensive workloads and ML/AI pipelines.
• Familiarity with CI/CD pipelines, monitoring tools (Prometheus, Grafana), and incident management.
• Strong scripting skills (Python, Bash, or equivalent).
• Excellent problem-solving, troubleshooting, and collaboration skills.