Senior / Staff Software Engineer, Data Infrastructure

ABOUT SUNO We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfillment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world. Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible. Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA). ABOUT THE ROLE Suno is growing fast, and we’re hiring Staff and Senior Software Engineers to build and scale the foundational systems that power our data platform and personalized recommendations. You’ll design and operate infrastructure that ingests, processes, and serves PBs of data, helping connect listeners with music they love while supporting analytics, experimentation, and machine learning across the company. This is a high-impact, senior role at the intersection of Data Infrastructure and ML. You’ll partner closely with Engineering, Data, and ML teams to build the pipelines, feature infrastructure, and low-latency data services that power recommendations and music discovery. Your work will help turn user interactions and content signals into reliable, fresh data for model training and real-time personalization. As Suno grows, you’ll help define the long-term architecture of our data platform, balancing scalability, reliability, latency, and cost. You’ll build systems that are observable and easy to extend, enabling teams to experiment quickly and improve how people discover and engage with music. You’ll own major systems end to end, from design through production operation, and drive architecture and technical direction across teams. Check out the Suno version of this role here: https://suno.com/s/yt9eiMi9aj0rmGX6 WHAT YOU’LL DO - Build and scale the data infrastructure behind personalized recommendations and music discovery, working closely with ML and product engineers. - Design streaming pipelines that transform user interactions and content signals into fresh features for recommendation models. - Develop infrastructure for computing, storing, and serving features across offline model training and online inference, with attention to consistency, reliability, and latency. - Enable recommendation experimentation through reliable impression and interaction logging, supporting model evaluation and measurement of recommendation quality. - Own the architecture and reliability of core streaming and batch infrastructure, using technologies such as Kinesis, Firehose, Lambda, S3, Flink, and Glue. - Build and maintain data workflows and orchestration using Dagster, ensuring pipelines are modular, testable, and observable. - Partner with backend and product engineers to define event schemas, data contracts, and ingestion patterns from production systems. - Improve the reliability and observability of data pipelines through monitoring, alerting, lineage tracking, and automated recovery mechanisms. - Optimize pipelines and storage for performance, cost efficiency, and scalability across AWS and Snowflake. - Implement infrastructure as code (e.g., Terraform) to manage AWS and Snowflake resources in a consistent, reproducible way. - Contribute to data platform standards, including schema evolution, data quality enforc