Senior Azure Cloud & Data DevOps Engineer

EPAM Systems

United States

Remote

USD 120,000 - 180,000

Full time

14 days+

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Job summary

EPAM Systems seeks a Senior Azure Cloud & Data DevOps Engineer to drive design, automation, and optimization of cloud and data platforms. You will collaborate with architecture teams and stakeholders to ensure robust, scalable solutions.

Responsibilities include hands-on Terraform and Azure DevOps work across subscriptions, stakeholder alignment, data workload performance improvements, and automation of administrative tasks in partnership with the SRE team.

Qualifications

  • 3+ years of experience with Azure Cloud services (extended support), Azure PowerShell, and Terraform.
  • Proficiency in designing and managing Azure DevOps pipeline solutions across multiple subscriptions and environments.
  • Skills in communicating with multiple stakeholders across technical and business teams.
  • Knowledge of Azure data solutions, including Data Lake Storage, Databricks, ADF, and Synapse Analytics.
  • Expertise in troubleshooting, monitoring, and improving performance of data workloads.
  • Background in collaborating with Architecture teams on platform design and support models.
  • Capability to identify and implement automation opportunities for administrative, infrastructure, and deployment activities.
  • English proficiency at B2 level or higher.

Responsibilities

  • Perform hands-on work with Terraform and Azure DevOps pipelines across multiple subscriptions/environments.
  • Communicate with stakeholders to align on project goals and priorities.
  • Improve performance of data workloads through monitoring and troubleshooting.
  • Collaborate with Architecture teams to align platform design with support models.
  • Identify opportunities to automate administrative, infrastructure, and deployment tasks.
  • Support the platform in partnership with the SRE team.

Skills

Azure Cloud services
Azure DevOps pipelines
Terraform
Azure Data solutions
Troubleshooting
Automation
Stakeholder communication
English proficiency

Tools

Azure DevOps
Terraform
Azure Data Factory
Azure Data Lake Storage
Databricks
Synapse Analytics
Azure Monitor

Job description

We are seeking a Senior Azure Cloud & Data DevOps Engineer to drive the design, automation, and optimization of cloud and data platforms, while collaborating closely with architecture teams and stakeholders to ensure robust, scalable, and well-supported solutions.

Responsibilities
  • Perform hands-on work with advanced Terraform and Azure DevOps pipeline solutions across multiple subscriptions and environments
  • Communicate effectively with multiple stakeholders to align on project goals and priorities
  • Work on data workloads performance improvements, monitoring, issue troubleshooting, and prevention
  • Collaborate with the 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
  • Support the platform in partnership with the SRE team
Requirements
  • 3+ years of experience with Azure Cloud services (extended support), Azure PowerShell, and Terraform
  • Proficiency in designing and managing Azure DevOps pipeline solutions across multiple subscriptions and environments
  • Skills in communicating with multiple stakeholders across technical and business teams
  • Knowledge of Azure data solutions, including Data Lake Storage, Databricks, ADF, and Synapse Analytics
  • Expertise in troubleshooting, monitoring, and improving performance of data workloads
  • Background in collaborating with Architecture teams on platform design and support models
  • Capability to identify and implement automation opportunities for administrative, infrastructure, and deployment activities
  • English proficiency at B2 level or higher
Nice to have
  • Familiarity with Azure Data Factory, Azure Data Lake Storage, and Azure DevOps
  • Knowledge of Azure Monitor, Azure SQL Database, and Azure Storage
  • Understanding of Azure Synapse Analytics
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