Senior Azure AI Infra Engineer — Remote/Hybrid

EPAM Systems

Polska

Hybrid

PLN 210,000 - 330,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
Multisport
Shopping vouchers
English classes

Job summary

EPAM Systems is seeking a Senior Azure Cloud Engineer to join an AI Infrastructure Tooling Design and Environment project. You will design and operate AI infrastructure tooling across Sandbox, Dev, UAT, and Production environments, building scalable CI/CD workflows and AI model evaluation pipelines on Microsoft Foundry.

The role requires hands-on Azure experience, DevOps tooling expertise, and strong English communication.

Qualifications

  • 3+ years of hands-on experience as a Cloud Engineer within Azure environments.
  • Background in DevOps tooling with proven build experience.
  • Proficiency in CI/CD workflow design and implementation.
  • Expertise in Microsoft Foundry and model evaluation and training pipelines.

Responsibilities

  • Design and deliver AI infrastructure tooling across Sandbox, Dev, UAT, and Production environments.
  • Provide strategic direction and establish the foundation for the AI Platform capability.
  • Build and maintain CI/CD workflows to support continuous delivery of cloud solutions.
  • Develop and operate model evaluation and training pipelines on Microsoft Foundry.
  • Implement serverless solutions leveraging Azure Functions and Logic Apps.
  • Architect and manage CosmosDB data stores for AI workloads.
  • Configure and customize API Gateway, including policy authoring, transformations, and Developer Portal customization.
  • Implement authentication, authorization, logging, and integration patterns across API Gateway services.

Skills

Azure Cloud
DevOps
CI/CD
AI Platform/Foundry pipelines
API Gateway
Authentication/Authorization
AI-103 certification
Python
Terraform

Tools

Terraform
Python

Job description

EPAM Systems is seeking a Senior Azure Cloud Engineer to join an AI Infrastructure Tooling Design and Environment project. You will design and operate AI infrastructure tooling across Sandbox, Dev, UAT, and Production environments, building scalable CI/CD workflows and AI model evaluation pipelines on Microsoft Foundry.

The role requires hands-on Azure experience, DevOps tooling expertise, and strong English communication.

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