DevOps Engineer – Agentic AI (Azure/Terraform)

Cloudfide builds and evolves large-scale Big Data and cloud-native platforms for global clients, including leaders in retail and the Fortune 500. Their projects emphasize AI, ML, MLOps, and modern data architectures to empower data-driven decision-making and enhance customer experiences globally.

• Experience designing and building AI agents and agentic workflows, preferably with GitHub Agentic Workflows or similar frameworks.
• Strong understanding of core large language model (LLM) concepts including prompting, context windows, tool/function calling, and evaluation.
• Experience developing and maintaining custom AI agents, custom skills, tools, integrations, and implementing agent guardrails.
• Hands-on experience with Model Context Protocol (MCP) servers.
• Hands-on development experience using GitHub Copilot.
• Solid DevOps background building secure Azure infrastructure for Internal Developer Platforms using Terraform, including testing.
• Strong scripting and automation skills in Python and PowerShell.
• Experience with CI/CD pipelines in both Azure DevOps and GitHub Actions.
• Experience managing Databricks infrastructure including Unity Catalog and workspace provisioning.
• Proactive and curious mindset adapted to dynamic and evolving project environments.
• Fluent English communication skills for effective international collaboration.

• Designing and building AI agents and agentic workflows that automate infrastructure and platform tasks using GitHub Agentic Workflows or similar frameworks.
• Developing and maintaining custom AI agents, skills, tools, and integrations including Model Context Protocol (MCP) servers.
• Implementing guardrails for agents managing infrastructure code, such as least-privilege permissions and human approval processes.
• Building and evolving secure Azure infrastructure for an Internal Developer Platform (IDP) using Terraform, including testing.
• Provisioning and managing Databricks infrastructure including workspaces and Unity Catalog.
• Developing and maintaining CI/CD pipelines in Azure DevOps and GitHub Actions.
• Automating operational processes using Python and PowerShell.
• Utilizing GitHub Copilot and other AI tools to enhance infrastructure code quality and productivity.
• Conducting code reviews and contributing to documentation and best practices.
• Sharing knowledge about AI tooling and agentic patterns to foster a collaborative learning culture.