DevOps Engineer – Agentic AI Azure/Terraform

• Experience designing and building AI agents and agentic workflows, ideally with GitHub Agentic Workflows or comparable frameworks.


• Strong understanding of core LLM concepts, such as prompting, context windows, tool/function calling, and evaluation.


• Experience developing and maintaining custom AI agents, custom skills, tools, and integrations, including guardrails for agents working on infrastructure code (least-privilege permissions, human approval).


• 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 (IDP) using Terraform, including Terraform testing.


• Strong scripting and automation skills in Python and PowerShell.


• Hands-on experience with CI/CD pipelines in both Azure DevOps and GitHub Actions.


• Experience working with Databricks infrastructure (Unity Catalog, workspace provisioning).


• Proactive and curious mindset, comfortable working in dynamic, fast-evolving project environments.


• Fluent English communication, able to collaborate effectively across international teams.

Why Join Us

At Cloudfide, we engineer solutions where data truly becomes an accelerator for innovation. We build and evolve large-scale Big Data and cloud-native platforms for global clients, including leaders in retail and the Fortune 500. We process massive, complex datasets, operate fully in the cloud ecosystem, and work with the latest technologies, including AI, ML, MLOps, and modern data architectures.

Our projects have measurable, real-world impact, from enhancing customer experiences at scale to empowering data-driven decision-making in high-visibility global organizations. As we continue to grow, you'll have the opportunity to shape solutions, mentor others, drive architecture decisions, and take ownership of strategic initiatives.

Opportunity Overview

As a DevOps Engineer, you will build secure Azure infrastructure for an Internal Developer Platform and bring agentic AI into everyday infrastructure work. You'll design AI agents that automate infrastructure tasks safely, with the right guardrails in place, while keeping the platform reliable, secure, and easy for developers to use.

Expect an AI-forward environment where experimentation is encouraged and your proactivity is genuinely valued. You'll join a team of passionate engineers who value technical excellence, collaboration, and continuous growth.

,[Designing and building AI agents and agentic workflows that automate infrastructure and platform tasks, using GitHub Agentic Workflows or comparable frameworks., Developing and maintaining custom AI agents, skills, tools, and integrations, including MCP servers connecting agents with infrastructure and platform services., Implementing guardrails for agents working on infrastructure code, such as least-privilege permissions and human approval steps., Building and evolving secure Azure infrastructure for an Internal Developer Platform (IDP) using Terraform, including Terraform 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 with Python and PowerShell., Using GitHub Copilot and other AI tools to increase productivity and quality of infrastructure code., Conducting code reviews and contributing to documentation and best practices., Sharing knowledge about AI tooling and agentic patterns, contributing to a collaborative learning culture within the team.] Requirements: Azure, Python, Terraform, GitHub Actions, GitHub Copilot, Model Context Protocol, GitHub Agentic Workflows Tools: .