Lead Azure Cloud Engineer

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, they empower clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

• Extensive hands-on experience architecting, deploying, and managing enterprise Azure cloud solutions
• Strong knowledge of Azure networking, identity, governance, security, monitoring, and platform services
• Experience with Azure Landing Zone concepts, hub-and-spoke networking, private endpoints, private DNS, firewalls, network security groups, and routing
• Extensive hands-on experience with Azure Kubernetes Service, containers, container registries, ingress controllers, workload identity, autoscaling, monitoring, and container security
• Substantial experience with Terraform or similar Infrastructure as Code tools including module development, state management, validation, and multi-environment delivery
• Experience designing and maintaining CI/CD pipelines using GitHub Actions, Azure DevOps, GitLab CI/CD, or similar
• Strong grasp of DevOps and DevSecOps practices including automated testing, security scanning, artifact management, release automation, and deployment governance
• Familiarity with GitHub, pull requests, code reviews, branching strategies, and collaborative workflows
• Experience using AI-assisted tools like GitHub Copilot for scripting, automation, infrastructure development, and documentation
• Experience with Azure PaaS and integration services such as App Service, Azure Functions, Logic Apps, API Management, Event Grid, Service Bus, Storage, Key Vault, Azure SQL, Cosmos DB
• Experience deploying observability using Azure Monitor, Log Analytics, Application Insights, Container Insights, dashboards, alerting, and runbooks
• Knowledge of Azure AI, Generative AI services, particularly Azure OpenAI, Azure AI Search, and AI automation patterns
• Working knowledge of AI architecture including RAG, agentic workflows, multi-agent systems, tool/function calling, prompt management, evaluation, and responsible AI
• Strong scripting and automation skills using PowerShell, Bash, Python, or similar languages
• Ability to operate independently, manage technical delivery, and support production-grade cloud environments
• Excellent communication skills to collaborate with architects, engineers, security teams, product teams, and stakeholders

Nice to have:

• Microsoft Azure certifications (Azure Administrator Associate, Azure Developer Associate, Azure DevOps Engineer Expert, Azure Solutions Architect Expert)
• Kubernetes certifications (CKA, CKAD, CKS)
• Experience with production-grade AKS platforms, service mesh, GitOps, Helm, Kustomize, Flux, Argo CD, or Kubernetes policy engines
• Experience with AI orchestration frameworks such as Azure AI Foundry, Semantic Kernel, LangChain, LangGraph, AutoGen
• Developing or supporting RAG platforms, AI agents, multi-agent workflows, or enterprise knowledge search
• Experience in platform engineering, internal developer platforms, self-service cloud capabilities, reusable engineering templates
• Experience in regulated industries with high compliance, security, auditability, and governance
• Familiarity with SRE practices, incident response, reliability engineering, performance testing, and cost optimization

• 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 applications, APIs, microservices, containers, serverless, data integrations, and AI-driven solutions
• Deploy and manage Azure Kubernetes Service environments including node pools, ingress, workload identity, autoscaling, networking, monitoring, container registry integration, and security controls
• Create and maintain Infrastructure as Code using Terraform with reusable modules, multi-environment deployments, validation, and CI/CD pipeline integration
• Architect and deploy CI/CD pipelines with GitHub Actions, Azure DevOps, GitLab CI/CD or similar tools
• Enable DevOps practices such as automated builds, testing, security scanning, artifact management, deployment strategies, and release automation
• Leverage AI-assisted development tools like GitHub Copilot to enhance productivity in scripting, IaC, CI/CD, code review, troubleshooting, and documentation
• Deploy cloud-native Azure services including App Service, Azure Functions, Logic Apps, Event Grid, Service Bus, Storage, Key Vault, Azure SQL, Cosmos DB, Azure Monitor, and Application Insights
• Support deploying AI-driven solutions using Azure AI, Azure OpenAI, Azure AI Search, and Azure Machine Learning services
• Implement secure integration patterns with managed identities, RBAC, private endpoints, private DNS, network security groups, firewalls, and API gateways
• Set up observability with Azure Monitor, Log Analytics, Application Insights, Container Insights, dashboards, alerts, tracing, and operational runbooks
• Resolve complex issues related to cloud infrastructure, networking, deployment, performance, security, and production incidents
• Implement DevSecOps practices including secrets management, dependency scanning, container image scanning, policy validation, secure configuration, and compliance automation
• Optimize Azure environments for performance, reliability, scalability, and cost efficiency
• Contribute to technical standards, reusable templates, documentation, operational procedures, and platform engineering practices
• Provide technical guidance, mentoring, code reviews, and leadership to team members
• Collaborate with architects and stakeholders to convert requirements into secure, maintainable Azure implementations

Klikając w przycisk „Aplikuj” lub w inny sposób wysyłając zgłoszenie rekrutacyjne, zgadzasz się na przetwarzanie Twoich danych osobowych przez EPAM Systems (Poland) sp. z o.o. z siedzibą w: Fabryczna 1A, 31-553 Kraków (Pracodawca), jako administratora danych osobowych w celu przeprowadzenia rekrutacji na stanowisko wskazane w ogłoszeniu zgodnie Polityką Prywatności dostępną na stronie: https://www.epam.com/applicant-privacy-notice