Senior Azure Cloud Engineer

EPAM Systems, Inc.; Turkey; On-site; TRY 4,414,000 - 7,357,000; Full time

Benefits offered by this job

Private health insurance

Learning & development

Mentoring programs

Certification support

English courses

Extra leave days

Job summary

EPAM Systems, Inc. seeks a Senior Azure Cloud Engineer to design, build, and operate secure, scalable cloud solutions on Microsoft Azure.

You will work hands-on with Azure infrastructure, containers, DevOps pipelines, IaC, observability, security controls, and AI-enabled cloud capabilities. Collaborating with Cloud Architects, Platform Engineering, DevOps, Security, Networking, Data, AI, and Product teams, you will translate requirements into practical deployments, reusable patterns, and

Qualifications

• Experience designing and operating enterprise Azure solutions.
• Hands-on AKS and containerized workloads experience.
• Strong security, governance, and monitoring understanding.
• IaC and CI/CD automation expertise.

Responsibilities

• Design, implement, and maintain Azure cloud infrastructure and patterns.
• Develop and maintain CI/CD pipelines and automation.
• Collaborate with architects, security, and product teams.
• Implement AI-enabled cloud solutions using Azure AI services.

Skills

Azure cloud design and implementation

Azure Kubernetes Service

Terraform

CI/CD pipelines

GitHub Actions

Azure DevOps

Security controls

Observability

AI-assisted engineering

PowerShell/Bash/Python scripting

Tools

Terraform

GitHub Actions

Azure DevOps

AKS / Kubernetes tooling

Job description

We are seeking an experienced Senior Azure Cloud Engineer to design, build, automate, and operate secure, scalable, and cost-efficient cloud solutions on Microsoft Azure.In this role, you will work hands-on with Azure infrastructure, containers, DevOps pipelines, Infrastructure as Code, observability, security controls, and AI-enabled cloud solutions. You will help translate architecture standards into working platforms, reusable deployment patterns, automation, and production-ready services.You will collaborate closely with Cloud Architects, Platform Engineering, DevOps, Security, Networking, Data, AI, and Product teams to deliver robust Azure solutions that support modern application delivery, containerized workloads, and AI-enabled enterprise capabilities.ResponsibilitiesDesign, implement, and maintain Azure cloud infrastructure, including subscriptions, resource groups, networking, identity, governance, security, and platform servicesBuild and support reusable Azure deployment patterns for applications, APIs, front-end workloads, microservices, containers, serverless services, data integrations, and AI-enabled solutionsImplement and operate Azure Kubernetes Service environments, including node pools, ingress, workload identity, secrets management, autoscaling, networking, monitoring, container registry integration, and security controlsBuild, maintain, and improve Infrastructure as Code using Terraform, including reusable modules, multi-environment deployments, automated validation, and integration with CI/CD pipelinesDesign and implement CI/CD pipelines using GitHub Actions, Azure DevOps, GitLab CI/CD, or similar toolsSupport DevOps practices such as automated builds, testing, security scanning, artifact management, environment promotion, deployment approvals, rollback strategies, and release automationUse GitHub Copilot and AI-assisted engineering tools to improve productivity across scripting, IaC development, CI/CD pipeline creation, code review, troubleshooting, documentation, and automationImplement 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 InsightsSupport the implementation of AI-enabled solutions using Azure AI, Azure OpenAI, Azure AI Search, Azure Machine Learning, and related Azure AI servicesBuild and integrate AI solution components based on patterns such as RAG, agentic workflows, multi-agent orchestration, tool/function calling, prompt management, grounding, evaluation, and responsible AI controlsImplement secure integration patterns using managed identities, RBAC, private endpoints, private DNS, network security groups, firewalls, and API gatewaysEstablish and maintain observability using Azure Monitor, Log Analytics, Application Insights, Container Insights, dashboards, alerts, distributed tracing, and operational runbooksTroubleshoot complex cloud, networking, deployment, performance, security, and production incidentsApply DevSecOps practices, including secrets management, dependency scanning, container image scanning, policy validation, secure configuration, and compliance automationOptimize Azure environments for performance, reliability, scalability, and cost efficiencyContribute to technical standards, reusable templates, documentation, operational procedures, and platform engineering practicesProvide technical guidance, mentoring, code reviews, and engineering leadership to other team membersWork with architects and stakeholders to translate requirements into practical, secure, and maintainable Azure implementationsRequirementsStrong hands-on experience designing, implementing, and operating Azure cloud solutions in enterprise environmentsSolid understanding of Azure networking, identity, governance, security, monitoring, and platform servicesPractical experience with Azure Landing Zone concepts, hub-and-spoke networking, private endpoints, private DNS, firewalls, NSGs, route tables, and workload integration patternsStrong hands-on experience with Azure Kubernetes Service, containers, container registries, ingress controllers, workload identity, autoscaling, monitoring, and container securityStrong experience with Terraform or other Infrastructure as Code tools, including module development, state management, validation, and multi-environment deliveryStrong experience with CI/CD pipelines, preferably using GitHub Actions, Azure DevOps, GitLab CI/CD, or similar platformsGood understanding of DevOps and DevSecOps practices, including automated testing, security scanning, artifact management, release automation, and deployment governanceExperience working with GitHub, pull requests, code reviews, branching strategies, and collaborative engineering workflowsPractical experience using GitHub Copilot or similar AI-assisted development tools for infrastructure, automation, scripting, pipeline development, or documentationExperience 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, and related servicesExperience implementing observability using Azure Monitor, Log Analytics, Application Insights, Container Insights, dashboards, alerting, and operational runbooksUnderstanding of Azure AI and Generative AI services, especially Azure OpenAI, Azure AI Search, and AI-enabled automation patternsPractical knowledge of AI architecture patterns such as RAG, agentic workflows, multi-agent systems, tool/function calling, grounding, prompt management, evaluation, and responsible AIAbility to troubleshoot complex technical issues across cloud infrastructure, networking, containers, CI/CD, security, and application integrationStrong scripting and automation skills using PowerShell, Bash, Python, or similar languagesAbility to work independently, take ownership of technical delivery, and support production-grade cloud environmentsStrong communication skills and ability to work with architects, engineers, security teams, product teams, and business stakeholdersNice to haveMicrosoft Azure certifications such as Azure Administrator Associate, Azure Developer Associate, Azure DevOps Engineer Expert, or Azure Solutions Architect ExpertKubernetes certifications such as CKA, CKAD, or CKSExperience with production-grade AKS platforms, service mesh, GitOps, Helm, Kustomize, Flux, Argo CD, or Kubernetes policy enginesExperience with Azure AI Foundry, Semantic Kernel, LangChain, LangGraph, AutoGen, or similar AI orchestration frameworksExperience building or supporting RAG platforms, AI agents, multi-agent workflows, or enterprise knowledge search solutionsExperience with platform engineering, internal developer platforms, self-service cloud capabilities, paved roads, and reusable engineering templatesExperience working in regulated industries with strong compliance, security, auditability, and governance requirementsFamiliarity with SRE practices, incident response, reliability engineering, performance testing, and cost optimizationWe offerCONTINUOUS UPSKILLING, LEARNING & DEVELOPMENTDiversity of tasks and projectsAssessment center for objective review of competency levelPersonal development planMentoring programs and leadership developmentCertification and professional development supportAccess to learning platforms including more than 2,500 internal coursesEnglish courses taught by certified teachersCORPORATE BENEFITSExtra leave daysReferral bonusesCOMPENSATION PACKAGECompetitive compensation paid in USDRegular salary and performance reviewsMEDICAL & HEALTHCAREPrivate health insuranceWell-being eventsWORKING ENVIRONMENTRecreation areas and kitchensTea, coffee and snacksSports equipment and game consolesIT EquipmentMicrosoft’s Software Assurance Home Use Program (HUP)Please note that our Talent Attraction Team reviews applications and CVs submitted in English.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, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.