DevOps Engineer

About Company:

USEReady helps businesses to be self-reliant on data. Growing over 3000% since inception, USEReady achieved #113 rank in Inc 500 2015 and honoured top 100 companies in North America 2015 by Red Herring. USEReady is built on strong entrepreneurial spirit with unprecedented opportunities for career growth. At USEReady, we believe in achieving career growth while improving our individual competencies. If you desire to be part of a team that believes in mutual success and inspiration, you are welcome to apply.

• USEReady helps enterprises apply AI and agentic intelligence to improve decisions, automate operations, and build smarter, more autonomous business systems.
• For more than a decade, we have built the foundations that make this possible by modernizing BI environments, migrating legacy platforms, improving data quality, and enabling governed, cloud-first architectures. These foundations now support the next step: AI-driven insights, automated intelligence, and agent-powered decision support that reduce complexity and accelerate outcomes.
• We work closely with technology leaders such as AWS, Elementum, Snowflake, Tableau, Databricks, and others to help organizations modernize analytics, strengthen governance, and deploy agentic automation with confidence. Headquartered in New York City with 450+ experts across the United States, Canada, India, and Singapore, we serve industries including financial services, healthcare, manufacturing, government, education, and retail. Our deep expertise, player-coach delivery model, and focus on fast, measurable results make us a trusted partner for building an AI-ready enterprise.

Job Description: Azure DevOps & Platform Engineer

Job Summary:

We are seeking a highly skilled Azure DevOps & Data Platform Engineer with strong expertise in Azure Cloud, Azure Databricks, Azure Data Factory (ADF), Terraform, and CI/CD automation. The ideal candidate will be responsible for designing, implementing, and supporting scalable DevOps solutions for enterprise data platforms while ensuring secure, automated, and reliable deployments across multiple environments.

The role involves close collaboration with Data Engineering, Infrastructure, and Solution Architecture teams to streamline deployments, improve operational efficiency, and support cloud modernization initiatives.