azure engineer

EPAM is a global provider of digital engineering, cloud, and AI-enabled transformation services, helping organizations build and operate secure, scalable, and cost-efficient cloud solutions.

• Design, implement, and maintain Azure cloud infrastructure including networking, identity, governance, and security;
• Build and support reusable Azure deployment patterns for microservices, containers, serverless services, and data integrations;
• Implement and operate Azure Kubernetes Service environments including node pools, ingress, and workload identity;
• Build and maintain Infrastructure as Code using Terraform with automated validation and CI/CD integration;
• Design and implement CI/CD pipelines using GitHub Actions, Azure DevOps, or GitLab CI/CD;
• Support DevOps practices such as automated builds, security scanning, and release automation;
• Utilize GitHub Copilot and AI-assisted tools to improve productivity in scripting, IaC, and automation;
• Implement cloud-native solutions using Azure App Service, Functions, Logic Apps, and storage services;
• Support the implementation of AI-enabled solutions using Azure AI, Azure OpenAI, and Azure Machine Learning;
• Build and integrate AI solution components based on RAG, agentic workflows, and multi-agent orchestration;
• Establish observability using Azure Monitor, Log Analytics, and Application Insights;
• Troubleshoot complex cloud, networking, deployment, and security incidents;
• Apply DevSecOps practices including secrets management and compliance automation;
• Optimize Azure environments for performance, reliability, and cost efficiency;
• Provide technical guidance, mentoring, and engineering leadership to team members.

• Strong hands-on experience designing and operating Azure cloud solutions in enterprise environments;
• Solid understanding of Azure networking, identity, governance, security, and monitoring;
• Practical experience with Azure Landing Zone concepts, hub-and-spoke networking, and private endpoints;
• Strong hands-on experience with Azure Kubernetes Service, containers, and container security;
• Strong experience with Terraform or other Infrastructure as Code tools;
• Strong experience with CI/CD pipelines using GitHub Actions, Azure DevOps, or GitLab CI/CD;
• Good understanding of DevOps and DevSecOps practices;
• Experience with GitHub, pull requests, and collaborative engineering workflows;
• Practical experience using GitHub Copilot or similar AI-assisted development tools;
• Experience with Azure PaaS and integration services;
• Experience implementing observability using Azure Monitor and Application Insights;
• Understanding of Azure AI and Generative AI services;
• Practical knowledge of AI architecture patterns such as RAG and agentic workflows;
• Strong scripting and automation skills using PowerShell, Bash, or Python;
• Ability to work independently and take ownership of technical delivery;
• Strong communication skills for working with cross-functional teams;
• Nice to have: Microsoft Azure certifications (Administrator, Developer, DevOps, or Solutions Architect), Kubernetes certifications (CKA, CKAD, or CKS), experience with production-grade AKS, service mesh, GitOps, Helm, Kustomize, Flux, Argo CD, or Kubernetes policy engines, experience with Azure AI Foundry, Semantic Kernel, LangChain, LangGraph, AutoGen, or similar AI orchestration frameworks, experience building or supporting RAG platforms, AI agents, or enterprise knowledge search solutions, experience with platform engineering, internal developer platforms, and reusable engineering templates, experience working in regulated industries with compliance and audit requirements, familiarity with SRE practices, incident response, and cost optimization.

• No conditions specified