Senior Azure DevOps / AgentOps Engineer
New
C
CycladCloud platforms
RemoteContractSenior
Salary130 PLN per hour
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Job Details
- Languages
- English (B2)
- Experience
- At least 5 years of experience in DevOps, Cloud Engineering or Platform Engineering; at least 3 years of hands-on experience with Microsoft Azure and Infrastructure as Code.
- Required Skills
- PythonBashGitMicrosoft AzureCI/CDTerraformAzure DevOps
Requirements
- Have at least 5 years of experience in DevOps, Cloud Engineering, or Platform Engineering.
- Have at least 3 years of hands-on experience with Microsoft Azure and Infrastructure as Code.
- Have practical knowledge of Azure DevOps, Terraform, Git, and CI/CD.
- Have programming and scripting experience with Python and PowerShell and/or Bash.
- Have experience with secure Azure environments, including RBAC, Managed Identities, Azure Key Vault, VNets, Private Endpoints, and Private DNS.
- Have experience designing and maintaining application build and deployment pipelines.
- Understand cloud security, automation, governance, and enterprise engineering practices.
- GitHub Copilot, Copilot Skills, and AI-assisted development experience are an advantage.
- Knowledge of AgentOps, agentic engineering, and AI-driven automation workflows is an advantage.
- Azure Databricks, Python/PySpark, SQL, or DevSecOps tools such as Checkov, tfsec, Trivy, or SonarQube are advantageous.
Responsibilities
- Design, develop, and maintain CI/CD pipelines using Azure DevOps YAML and GitHub Actions.
- Automate and manage Azure infrastructure using Terraform and/or Bicep.
- Establish secure Git, pull request, testing, release, and approval workflows.
- Develop automation scripts and tools using Python, PowerShell, and/or Bash.
- Build and maintain deployment pipelines for Python applications, APIs, and lightweight web applications.
- Implement Azure security, networking, secrets management, and observability practices.
- Use GitHub Copilot and AI-assisted workflows for infrastructure management, application development, testing, and documentation.
- Support agentic engineering and AgentOps practices with human approval and governance.
- Support automation and deployment for Azure Databricks and data/AI platforms.
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