EPAM is a leading general provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are looking for a Lead Data DevOps to drive the reliability and evolution of our Azure data platform through automation, monitoring, and secure operations. You will implement infrastructure updates, build self-healing and tracking capabilities, and partner with Architecture and SRE on performance and access controls across environments—apply now.
Responsibilities
• Deliver and maintain infrastructure changes across the data platform
• Set up monitoring and end-to-end tracking mechanisms
• Build automation and self-healing solutions to streamline platform operations
• Execute anomaly detection, event correlation, and analysis
• Run performance analysis on data workloads
• Administer access permissions across environments
• Partner with Architecture teams to ensure platform design aligns with support model standards
• Coordinate with the SRE team to support the platform
• Improve data platform activities, support processes, and automate administrative activities, infrastructure, and application deployments
• Align with multiple stakeholders on platform requirements and priorities
• Diagnose and prevent issues related to data workloads performance
Requirements
• Proven track record with 5+ years of hands-on work using advanced Terraform and Azure DevOps pipelines across multiple subscriptions and environments
• Solid knowledge of Azure data solutions such as Data Lake Storage, Da
📌 Lead Data DevOps (México)
🏢 Epam Systems
📍 México
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