Lead Azure Cloud Engineer

EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and startups, with over thirty years of expertise in custom software, product and platform engineering, empowering clients to become AI-Native enterprises.

• Extensive hands-on experience with architecting, deploying, and managing Azure cloud solutions in enterprise environments
• Strong knowledge of Azure networking, identity, governance, security, monitoring, and platform services
• Experience with Azure Landing Zone concepts, hub-and-spoke networking, private endpoints, and associated networking controls
• Extensive experience with Azure Kubernetes Service and container technologies
• Proficient with Terraform or similar Infrastructure as Code tools including module development and multi-environment deployments
• Experience with CI/CD pipelines using GitHub Actions, Azure DevOps, GitLab CI/CD, or similar
• Solid understanding of DevOps and DevSecOps practices
• Experience with GitHub workflows including pull requests and code reviews
• Hands-on use of GitHub Copilot or AI-assisted development tools
• Familiar with Azure PaaS and integration services such as App Service, Functions, Logic Apps, API Management, Event Grid, Service Bus, Storage, Key Vault, Azure SQL, Cosmos DB
• Experience deploying observability with Azure Monitor, Log Analytics, Application Insights, and dashboards
• Knowledge of Azure AI and Generative AI services including Azure OpenAI and AI-driven automation patterns
• Understanding of AI architecture patterns including RAG, multi-agent workflows, prompt management, and responsible AI
• Ability to resolve complex cloud infrastructure and application issues
• Strong scripting and automation skills with PowerShell, Bash, Python, or similar
• Ability to work independently and support production-grade cloud environments
• Excellent communication and collaboration skills

• Architect, deploy, and manage Azure cloud infrastructure including subscriptions, resource groups, networking, identity, governance, security, and platform services
• Develop and maintain repeatable Azure deployment patterns for various workloads and AI solutions
• Deploy and manage Azure Kubernetes Service environments with comprehensive operational features
• Create, maintain, and enhance Infrastructure as Code with Terraform, including reusable modules and CI/CD integration
• Architect and deploy CI/CD pipelines using tools such as GitHub Actions and Azure DevOps
• Enable DevOps practices including automated builds, testing, security scanning, and release automation
• Use GitHub Copilot and AI-assisted tools to improve productivity in scripting, IaC, and CI/CD pipeline creation
• Deploy cloud-native Azure services including App Service, Azure Functions, Logic Apps, Event Grid, and others
• Assist with deploying AI-driven solutions using Azure AI services
• Develop AI solution components based on advanced AI architecture patterns
• Deploy secure integration patterns using managed identities and network security configurations
• Set up observability with Azure Monitor, Log Analytics, and related tools
• Resolve complex incidents related to cloud infrastructure and applications
• Implement DevSecOps practices including secrets management and compliance automation
• Tune Azure environments for performance, reliability, scalability, and cost-effectiveness
• Contribute to technical standards, templates, documentation, and platform engineering
• Provide technical guidance, mentoring, code reviews, and leadership
• Collaborate with architects and stakeholders to implement secure Azure solutions

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