DevOps / Platform Engineer

SUMMARY:
Where cloud, AI, and automation collide.
Step into a DevOps / Platform Engineer role shaping modern Azure infrastructure, enabling data and AI platforms, and building deployment pipelines that move at the speed of innovation.
This hybrid role gives you the chance to engineer systems that don’t just support products — they power them — while working on impactful cloud platforms and pipelines supporting AI and data-driven solutions, gaining exposure to modern DevOps and AI technologies.

POSITION INFO:

Key Responsibilities

• Design, deploy, and manage scalable Azure cloud infrastructure using Terraform/Bicep
• Build and maintain CI/CD pipelines for applications and data services
• Automate provisioning, configuration, and monitoring across development, testing, and production environments
• Implement monitoring, logging, and alerting using Azure Monitor, Grafana, or similar tools
• Collaborate with AI and data teams to support Databricks and ML model deployments
• Ensure security and compliance through DevSecOps best practices

Requirements

• 3–5 years’ experience as a DevOps or Cloud Engineer
• Hands-on experience with Azure, Docker, Kubernetes (AKS preferred)
• Strong knowledge of CI/CD, automation tools, and scripting (Python/Bash)
• Experience with data workflows or AI/ML operations is an advantage
• Excellent communication and problem-solving skills