DevOps инженер

EPAM provides digital engineering, cloud, and AI-enabled transformation services, as well as digital product development and consulting. The company supports the design and productionization of an AI-assisted SDLC platform for a client using Azure DevOps to create a secure and maintainable technical foundation for AI-enabled delivery capabilities.

• Design and implement the hosting and deployment model for AI SDLC agents and supporting services;
• Support productionization of existing AI agent demos, including Azure DevOps extension-based user interfaces, backend services, MCP servers and Azure DevOps integrations;
• Set up secure Azure hosting using Azure App Service, Azure Container Apps, Azure Functions, AKS or Azure AI Foundry-related components;
• Build CI/CD pipelines for agent backends, Azure DevOps extensions, MCP components, configuration repositories and infrastructure;
• Implement infrastructure as code using Terraform or Bicep;
• Configure secure authentication and authorization using Microsoft Entra ID, Managed Identity, Service Principals and Azure DevOps permissions;
• Manage secrets and configuration through Azure Key Vault and secure deployment practices;
• Support integration with Azure DevOps APIs, Azure DevOps MCP, GitHub Copilot, Claude Code, Azure OpenAI / Azure AI Foundry and related AI SDLC tooling;
• Establish logging, monitoring and alerting using Application Insights, Log Analytics and Azure Monitor;
• Enable auditability of AI agent actions, including run IDs, requester identity, created/updated work items, tool calls and operational logs;
• Support repository-based governance for prompts, templates, agent configuration, MCP settings and deployment definitions;
• Help define environment separation, release process, rollback approach and operational runbooks;
• Work with Security and Architecture teams to ensure the AI SDLC platform meets enterprise requirements around data handling, identity, access, logging and compliance.

• Strong hands-on experience with Azure DevOps, Azure Repos, pipelines, service connections and CI/CD;
• Good experience with Azure hosting services such as App Service, Container Apps, Azure Functions and/or AKS;
• Experience with Microsoft Entra ID, Managed Identity, Service Principals, RBAC and secure service-to-service authentication;
• Experience with Azure Key Vault, Azure Monitor, Application Insights and Log Analytics;
• Infrastructure as Code experience with Terraform or Bicep;
• Experience with containerization and Docker;
• Good understanding of secure API deployment, environment configuration, networking and secrets management;
• Ability to work in a discovery, MVP, and productionization context with evolving requirements;
• Nice to have: experience packaging or supporting Azure DevOps extensions, familiarity with AI/LLM platforms (Azure OpenAI, Azure AI Foundry, GitHub Copilot, Claude Code), familiarity with MCP servers, agent tools, function calling or agent integration patterns, experience supporting AI-assisted SDLC, developer productivity tooling or internal developer platforms, experience integrating AI agents with Azure DevOps work items, repositories, pull requests, pipelines or test plans, experience with GitHub Actions, GitHub Copilot custom agents or GitHub Enterprise governance, understanding of software delivery processes, experience working with security teams on AI governance, auditability and data access controls.

• No conditions specified