remotely.living

Senior Azure Cloud & Data DevOps Engineer

EPAM Systems · Remote - Ukraine · 2026-09-29

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Job description

We are looking for a Senior Azure Cloud & Data DevOps Engineer to join the team working on an Azure data platform. The team implements and supports a wide range of platform aspects, including infrastructure changes, monitoring, end-to-end tracking, automation and self-healing, anomaly detection, event correlation and analysis, performance analysis, and access permissions management.

Responsibilities

- Perform hands-on work with advanced Terraform and Azure DevOps pipeline solutions across multiple subscriptions and environments

- Communicate and collaborate with multiple stakeholders across teams

- Work on data workload performance improvements, monitoring, issue troubleshooting, and prevention using Azure data solutions

- Collaborate with Architecture teams to ensure all aspects of the platform architecture and design standards complement the support model

- Seek opportunities to optimize activities in the data platforms, support activities, and processes

- Implement mechanisms to automate and streamline activities, such as administrative tasks, infrastructure, and application deployments

- Partner with the SRE team to support the platform

- Support platform aspects, including end-to-end tracking, anomaly detection, event correlation, and access permissions

Requirements

- 3+ years of experience in a Cloud & Data DevOps or similar role

- Expertise in Azure Cloud services (extended support)

- Proficiency in Terraform and Azure PowerShell

- Skills in building and maintaining Azure DevOps pipeline solutions across multiple subscriptions and environments

- Understanding of Azure data solutions to support performance, monitoring, and troubleshooting activities

- Capability to collaborate with Architecture teams on platform design standards and support models

- Strong English communication skills to engage with multiple stakeholders (B2 level or higher)

Nice to have

- Familiarity with Azure Data Factory, Azure Data Lake Storage, and Azure Synapse Analytics

- Knowledge of Azure Monitor and Azure DevOps

- Background in Azure SQL Database and Azure Storage