Senior Azure Cloud Engineer: AI-Driven Infra & DevOps

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

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