devops engineer for data platforms

EPAM develops enterprise software products, open source solutions, and technology accelerators.

• Deploy and configure the Data Platform in Databricks based on approved architecture and solution designs;
• Work with Data Engineering, ML, Platform, and QA teams to design, implement, and evolve CI/CD pipelines and supporting tooling for data workflows and services;
• Diagnose and resolve issues in build and deployment pipelines, data workflows, and production workloads;
• Participate in root cause analysis and implement preventive fixes;
• Develop, standardize, and maintain configuration management practices for infrastructure configuration, environment parameters, secrets, and cluster policies;
• Produce and maintain technical documentation covering deployment guides, operational runbooks, pipeline logic, and platform configuration.

• 3+ Years of experience as a Build Engineer, DevOps Engineer, Platform Engineer, or in a similar role supporting delivery and operations;
• Strong hands-on experience with Databricks, Azure Data Factory, Azure DevOps, and Microsoft Azure;
• Experience with DataOps practices, including automated data pipeline deployment, environment promotion, and governance;
• Strong communication and collaboration skills across engineering, data, and operations teams;
• English at B2 level or higher, with the ability to participate in technical discussions and produce documentation in English;
• Nice to have: Experience with MLOps, including model deployment, monitoring, and lifecycle automation for ML workloads.

• Work location: Georgia and four other locations.