Lead Azure Cloud Engineer

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

• Extensive hands-on experience architecting, deploying, and managing Azure cloud solutions in enterprise environments
• Solid 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, and workload integration patterns
• Strong experience with Azure Kubernetes Service, containers, registries, ingress controllers, workload identity, autoscaling, monitoring, and container security
• Proficient with Terraform or other Infrastructure as Code tools, including module development, state management, validation, and multi-environment delivery
• Experience with CI/CD pipelines using GitHub Actions, Azure DevOps, GitLab CI/CD, or similar
• Solid grasp of DevOps and DevSecOps including automated testing, security scanning, artifact management, release automation, and deployment governance
• Proficient use of GitHub, pull requests, code reviews, and branching strategies
• Experience leveraging GitHub Copilot or similar AI-assisted development tools for infrastructure, automation, scripting, pipeline development, and documentation
• Familiarity with Azure PaaS and integration services like App Service, Azure Functions, Logic Apps, API Management, Event Grid, Service Bus, Storage, Key Vault, Azure SQL, and Cosmos DB
• Experience with observability implementation using Azure Monitor, Log Analytics, Application Insights, Container Insights, dashboards, alerting, and runbooks
• Knowledge of Azure AI and Generative AI services, especially Azure OpenAI and Azure AI Search
• Understanding of AI architecture patterns including RAG, agentic workflows, multi-agent systems, tool/function calling, grounding, prompt management, evaluation, and responsible AI
• Ability to resolve complex issues in cloud infrastructure, networking, containers, CI/CD, security, and application integration
• Strong scripting and automation skills using PowerShell, Bash, Python, or similar
• Ability to work independently, own technical delivery, and support production-grade cloud environments
• Excellent communication skills and collaboration with architects, engineers, security, product teams, and stakeholders

Nice to have:

• Microsoft Azure certifications like Azure Administrator Associate, Developer Associate, DevOps Engineer Expert, or Solutions Architect Expert
• Kubernetes certifications including CKA, CKAD, or CKS
• Experience with production-grade AKS platforms, 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 developing or supporting RAG platforms, AI agents, multi-agent workflows, or enterprise knowledge search solutions
• Experience in platform engineering, internal developer platforms, self-service cloud capabilities, paved roads, and reusable engineering templates
• Experience in regulated industries with compliance, security, auditability, and governance requirements
• 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 services, and AI-driven solutions
• Deploy and manage Azure Kubernetes Service environments covering node pools, ingress, workload identity, secrets management, autoscaling, networking, and security controls
• Create and maintain Infrastructure as Code with Terraform, including reusable modules and CI/CD integration
• Architect and deploy CI/CD pipelines using GitHub Actions, Azure DevOps, GitLab CI/CD, or similar tools
• Enable DevOps practices including automated builds, testing, security scanning, artifact management, deployment approvals, and release automation
• Use AI-assisted engineering tools like GitHub Copilot for scripting, IaC development, pipeline creation, code review, and documentation
• 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, and Azure Machine Learning
• Develop AI solution components based on RAG, agentic workflows, multi-agent orchestration, prompt management, and responsible AI controls
• Deploy secure integration patterns using managed identities, RBAC, private endpoints, network security groups, firewalls, and API gateways
• Set up observability with Azure Monitor, Log Analytics, Application Insights, Container Insights, dashboards, alerts, distributed tracing, and operational runbooks
• Resolve complex cloud, networking, deployment, performance, security, and production incidents
• Implement DevSecOps practices including secrets management, dependency scanning, container image scanning, policy validation, 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
• Provide technical guidance, mentoring, code reviews, and engineering leadership
• Collaborate with architects and stakeholders to convert requirements into secure and 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.