Azure Devops Engineer (Agentic AI)
Bradsol (Brad Contech Solutions Private Limited) (company site, opens in a new tab)3+ yrsHyderabadOn-siteDirect career pageEst. 8–14 LPA
Posted 23h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain multi-stage CI/CD pipelines in Azure DevOps (and GitHub Actions) for apps, APIs, data pipelines, and AI agents with branching strategies, approvals, and automated rollback.
- Provision and manage Azure infrastructure using Terraform or Bicep, including AKS, App Service, Container Apps, API Management, and networking with security and cost controls.
- Automate deployment of AI agents and models to Azure AI Foundry, Azure OpenAI, and Databricks Model Serving; maintain production reliability, security, monitoring, and incident response.
Minimum Requirements
- 3+ years total DevOps/cloud engineering experience, with at least 2 years on Azure DevOps and Azure.
- Bachelor’s degree in Computer Science, Engineering or related field.
- Hands-on skills in Azure DevOps YAML pipelines, Terraform or Bicep, Docker, AKS with Helm, scripting in PowerShell, Bash, Python.
- Experience with Azure networking, identity (Entra ID, managed identities), Azure Key Vault, Azure Monitor, Application Insights, Log Analytics, and deploying ML/LLM workloads on Azure or Databricks.
Ideal Candidate Profile
- Experienced in end-to-end DevOps ownership for cloud-native and AI-focused applications with measurable impact on deployment automation and reliability.
- Proficient in managing complex Azure environments with IaC and security best practices including DevSecOps.
- Comfortable operating in client-facing roles supporting documentation, handover, and collaborating with cross-functional AI, data, and app engineering teams.