DevOps Engineer – Agentic AI (Azure/Terraform)
New
C
CloudfideCloud infrastructure
Workplace type: remote; Country code: PLContractMiddle
Salary not disclosed
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Job Details
- Languages
- Fluent English communication
- Required Skills
- PythonMicrosoft AzureCI/CDTerraformDatabricksLLM
Requirements
- Experience designing and building AI agents and agentic workflows, ideally using GitHub Agentic Workflows or comparable frameworks.
- Understand LLM concepts including prompting, context windows, tool/function calling, and evaluation.
- Experience developing and maintaining custom AI agents, skills, tools, and integrations.
- Experience implementing guardrails for agents working on infrastructure code, including least-privilege permissions and human approval.
- Hands-on experience with Model Context Protocol (MCP) servers.
- Hands-on development experience using GitHub Copilot.
- DevOps experience building secure Azure infrastructure for Internal Developer Platforms using Terraform, including Terraform testing.
- Strong scripting and automation skills in Python and PowerShell.
- Hands-on experience with CI/CD pipelines in Azure DevOps and GitHub Actions.
- Experience with Databricks infrastructure, including Unity Catalog and workspace provisioning.
- Fluent English communication and ability to collaborate across international teams.
Responsibilities
- Design and build AI agents and agentic workflows to automate infrastructure and platform tasks.
- Develop and maintain custom AI agents, skills, tools, and integrations, including MCP servers.
- Implement least-privilege permissions and human approval steps for agents working on infrastructure code.
- Build and evolve secure Azure infrastructure for an Internal Developer Platform using Terraform, including Terraform testing.
- Provision and manage Databricks infrastructure, including workspaces and Unity Catalog.
- Develop and maintain CI/CD pipelines in Azure DevOps and GitHub Actions.
- Automate operational processes with Python and PowerShell.
- Use GitHub Copilot and other AI tools to improve infrastructure code productivity and quality.
- Conduct code reviews and contribute to documentation and best practices.
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