Senior Azure Cloud Engineer at EPAM Systems

EPAM Systems Inc

Turkey

On-site

TRY 4,414,000 - 5,885,000

Full time

2 days ago

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Benefits offered by this job

Private health insurance

Continuous upskilling & development

English language courses

Competitive USD compensation

Flexible working arrangements

Job summary

EPAM Systems Inc in Turkey is seeking a Senior Azure Cloud Engineer to design, build, and operate secure, scalable Azure solutions. You will work hands-on with Azure infrastructure, containers, IaC, observability, and security controls to support enterprise-grade workloads.

You will collaborate with Cloud Architects, Platform Engineering, DevOps, Security, and Product teams to deliver robust Azure platforms, AI-enabled capabilities, and modern app delivery in a fast-paced environment.

Qualifications

Proven hands-on experience designing, implementing, and operating Azure cloud solutions in enterprise environments.
Strong knowledge of Azure networking, identity, governance, security, monitoring, and platform services.
Experience with Terraform or other IaC tools, including module development and multi-environment delivery.
Experience with CI/CD pipelines and GitHub Actions, Azure DevOps, or GitLab CI/CD.
Familiarity with DevSecOps practices and automated testing and security scanning.
Experience collaborating with architects, engineers, security teams, and product stakeholders.

Responsibilities

Design, implement, and maintain Azure cloud infrastructure including subscriptions, resource groups, networking, identity, governance, security, and platform services.
Build reusable Azure deployment patterns for applications, APIs, front-end workloads, microservices, containers, serverless services, data integrations, and AI-enabled solutions.
Implement and operate Azure Kubernetes Service environments, including node pools, ingress, workload identity, secrets management, autoscaling, networking, monitoring, container registry integration, and security controls.
Build, maintain, and improve Infrastructure as Code using Terraform, including reusable modules, multi-environment deployments, automated validation, and integration with CI/CD pipelines.
Design and implement CI/CD pipelines using GitHub Actions, Azure DevOps, GitLab CI/CD, or similar tools.
Support DevOps practices such as automated builds, testing, security scanning, artifact management, environment promotion, deployment approvals, rollback strategies, and release automation.
Use GitHub Copilot and AI-assisted engineering tools to improve productivity across scripting, IaC development, CI/CD pipeline creation, code review, troubleshooting, documentation, and automation.
Implement 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.
Support the implementation of AI-enabled solutions using Azure AI, Azure OpenAI, Azure AI Search, Azure Machine Learning, and related Azure AI services.

Skills

Azure Cloud Architecture

Terraform

CI/CD Automation

AKS (Azure Kubernetes Service)

GitHub Actions

Security & Compliance

IaC (Infrastructure as Code)

Tools

Terraform

Azure DevOps

GitLab CI/CD

Docker

Azure Kubernetes Service

Job description

Apply for Senior Azure Cloud Engineer at EPAM Systems in TR. This Full time on site position offers great opportunities for career growth. 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.

Responsibilities

Design, implement, and maintain Azure cloud infrastructure, including subscriptions, resource groups, networking, identity, governance, security, and platform services
Build and support reusable Azure deployment patterns for applications, APIs, front-end workloads, microservices, containers, serverless services, data integrations, and AI-enabled solutions
Implement and operate Azure Kubernetes Service environments, including node pools, ingress, workload identity, secrets management, autoscaling, networking, monitoring, container registry integration, and security controls
Build, maintain, and improve Infrastructure as Code using Terraform, including reusable modules, multi-environment deployments, automated validation, and integration with CI/CD pipelines
Design and implement CI/CD pipelines using GitHub Actions, Azure DevOps, GitLab CI/CD, or similar tools
Support DevOps practices such as automated builds, testing, security scanning, artifact management, environment promotion, deployment approvals, rollback strategies, and release automation
Use GitHub Copilot and AI-assisted engineering tools to improve productivity across scripting, IaC development, CI/CD pipeline creation, code review, troubleshooting, documentation, and automation
Implement 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
Support the implementation of AI-enabled solutions using Azure AI, Azure OpenAI, Azure AI Search, Azure Machine Learning, and related Azure AI services
Build 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 controls
Implement secure integration patterns using managed identities, RBAC, private endpoints, private DNS, network security groups, firewalls, and API gateways
Establish and maintain observability using Azure Monitor, Log Analytics, Application Insights, Container Insights, dashboards, alerts, distributed tracing, and operational runbooks
Troubleshoot complex cloud, networking, deployment, performance, security, and production incidents
Apply 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 engineering leadership to other team members
Work with architects and stakeholders to translate requirements into practical, secure, and maintainable Azure implementations

Requirements

Strong hands‑on experience designing, implementing, and operating Azure cloud solutions in enterprise environments
Solid understanding of Azure networking, identity, governance, security, monitoring, and platform services
Practical experience with Azure Landing Zone concepts, hub‑and‑spoke networking, private endpoints, private DNS, firewalls, NSGs, route tables, and workload integration patterns
Strong hands‑on experience with Azure Kubernetes Service, containers, container registries, ingress controllers, workload identity, autoscaling, monitoring, and container security
Strong experience with Terraform or other Infrastructure as Code tools, including module development, state management, validation, and multi‑environment delivery
Strong experience with CI/CD pipelines, preferably using GitHub Actions, Azure DevOps, GitLab CI/CD, or similar platforms
Good understanding of DevOps and DevSecOps practices, including automated testing, security scanning, artifact management, release automation, and deployment governance
Experience working with GitHub, pull requests, code reviews, branching strategies, and collaborative engineering workflows
Practical experience using GitHub Copilot or similar AI‑assisted development tools for infrastructure, automation, scripting, pipeline development, or 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, and related services
Experience implementing observability using Azure Monitor, Log Analytics, Application Insights, Container Insights, dashboards, alerting, and operational runbooks
Understanding of Azure AI and Generative AI services, especially Azure OpenAI, Azure AI Search, and AI‑enabled automation patterns
Practical knowledge of AI architecture patterns such as RAG, agentic workflows, multi‑agent systems, tool/function calling, grounding, prompt management, evaluation, and responsible AI
Ability to troubleshoot complex technical issues across cloud infrastructure, networking, containers, CI/CD, security, and application integration
Strong scripting and automation skills using PowerShell, Bash, Python, or similar languages
Ability to work independently, take ownership of technical delivery, and support production‑grade cloud environments
Strong communication skills and ability to work with architects, engineers, security teams, product teams, and business stakeholders

Nice to have

Microsoft Azure certifications such as Azure Administrator Associate, Azure Developer Associate, Azure DevOps Engineer Expert, or Azure Solutions Architect Expert
Kubernetes certifications such as 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 building or supporting RAG platforms, AI agents, multi‑agent workflows, or enterprise knowledge search solutions
Experience with platform engineering, internal developer platforms, self‑service cloud capabilities, paved roads, and reusable engineering templates
Experience working in regulated industries with strong compliance, security, auditability, and governance requirements
Familiarity with SRE practices, incident response, reliability engineering, performance testing, and cost optimization

We Offer