Sr Software Engineer, Backend & Data Platforms (Mobius Team)

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

Build the Systems That Power Analytics for Millions of Customer Conversations

At NICE, we help organizations understand what customers are really saying. Our Nexidia Interactive Analytics (NIA) platform processes and analyzes massive volumes of customer interaction data, enabling organizations to identify trends, improve experiences, and make better business decisions.

We're looking for a Senior Software Engineer to join our Mobius team, a critical engineering group responsible for ingesting, transforming, and managing the data that powers NIA analytics. This is not a greenfield startup project. It is a highly scalable enterprise platform that sits at the center of a mature analytics ecosystem used by multiple product teams and customers worldwide.

If you're passionate about large-scale backend systems, SQL performance, data engineering, and using AI to build software smarter and faster, we'd love to talk.

Why This Role Matters

The Mobius team is growing because demand for new capabilities continues to increase. The team is responsible for bringing vast amounts of customer interaction data into the platform, ensuring it is available, accurate, performant, and consumable by multiple downstream analytics teams.

You'll join a highly visible team that is expanding to meet growing business expectations while helping shape how AI-assisted development accelerates software delivery across engineering.

What You'll Do

• Design and build scalable backend services using C#

• Develop and optimize high-volume ETL and data ingestion pipelines

• Design, tune, and maintain complex Microsoft SQL Server environments

• Troubleshoot performance challenges across large-scale distributed systems