Lead Azure Cloud Engineer

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

• Extensive hands-on experience architecting, deploying, managing Microsoft Azure cloud solutions in enterprise environments
• Deep 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, NSGs, route tables, workload integration
• 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 other Infrastructure as Code tools, including module development, state management, validation, and multi-environment deployment
• Strong experience with CI/CD pipelines using GitHub Actions, Azure DevOps, GitLab CI/CD or similar
• Solid grasp of DevOps and DevSecOps practices including automated testing, security scanning, artifact management, release automation, deployment governance
• Experience with GitHub workflows, pull requests, code reviews, branching strategies, collaboration
• Hands-on use of AI-assisted tools like GitHub Copilot for infrastructure scripting, automation, pipeline creation, documentation
• Experience with Azure PaaS and integration services including App Service, Azure 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, Container Insights, dashboards, alerting, operational runbooks
• Knowledge of Azure AI and Generative AI services including Azure OpenAI, Azure AI Search, and AI-driven automation patterns
• Familiarity with AI architecture patterns: RAG, agentic workflows, multi-agent systems, tool/function calling, grounding, prompt management, evaluation, responsible AI
• Ability to resolve complex technical issues spanning cloud, networking, containers, CI/CD, security, application integration
• Strong scripting and automation skills with PowerShell, Bash, Python, or similar
• Ability to operate independently and support production-grade cloud environments
• Excellent communication skills and ability to collaborate with architects, engineers, security teams, product teams, and business 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, Kubernetes policy engines
• Experience with Azure AI Foundry, Semantic Kernel, LangChain, LangGraph, AutoGen, or similar AI orchestration frameworks
• Experience developing/supporting RAG platforms, AI agents, multi-agent workflows, enterprise knowledge search
• Experience with platform engineering, internal developer platforms, self-service cloud, reusable engineering templates
• Experience in regulated industries with compliance, security, auditability, governance requirements
• Familiarity with SRE practices, incident response, reliability engineering, performance testing, 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 covering applications, APIs, microservices, containers, serverless services, data integrations, and AI solutions
• Deploy and manage Azure Kubernetes Service environments including node pools, ingress, workload identity, secrets management, autoscaling, networking, monitoring, container registry integration, and security
• Create, maintain, and enhance Infrastructure as Code with Terraform, 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: automated builds, testing, security scanning, artifact management, environment promotion, deployment approvals, rollback strategies, release automation
• Utilize AI-assisted engineering tools like GitHub Copilot for scripting, IaC development, pipeline creation, code review, troubleshooting, documentation, and automation
• Deploy cloud-native solutions using Azure services such as App Service, Azure Functions, Logic Apps, Event Grid, Service Bus, Storage, Key Vault, API Management, Azure SQL, Cosmos DB, Azure Monitor, and Application Insights
• Assist in deploying AI-driven solutions using Azure AI, Azure OpenAI, Azure AI Search, Azure Machine Learning, and related services
• Develop and integrate AI solution components using RAG, agentic workflows, multi-agent orchestration, tool/function calling, prompt management, grounding, evaluation, and responsible AI controls
• Deploy secure integration patterns with managed identities, RBAC, private endpoints, private DNS, network security groups, firewalls, API gateways
• Setup and maintain observability with Azure Monitor, Log Analytics, Application Insights, Container Insights, dashboards, alerts, distributed tracing, operational runbooks
• Resolve complex cloud, networking, deployment, performance, security, and production incidents
• Implement DevSecOps practices: secrets management, dependency scanning, container image scanning, policy validation, secure configuration, 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 engineering leadership
• Collaborate with architects and stakeholders to transform requirements into practical, 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.