Senior / Staff Software Engineer, Data Infrastructure
Senior/Staff engineer building and scaling Suno's data infrastructure — streaming and batch pipelines, feature computation, and low-latency serving that power music recommendations and ML. Stack centers on AWS (Kinesis, Flink, S3, Glue) plus Snowflake, Dagster, dbt, and Terraform, on-site in Cambridge, MA or NYC.
- Compensation
- $229K–$363.5K / yr
- Location
- Boston
- Work setup
- Onsite
- Seniority
- Staff
- Employment
- Full time
- Experience
- 7+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 7+ years of relevant experience in software engineering, data infrastructure, or distributed systems
- Strong programming skills, preferably Python, and experience operating production-grade distributed systems
- Deep experience building and operating real-time streaming and batch processing systems
- Experience building data or serving infrastructure for recommendations, personalization, search, or similar ML-powered products
- Understanding of feature computation, online/offline data consistency, and latency/freshness requirements of production ML systems
- Experience with streaming and cloud data infrastructure such as Flink, Kinesis, or Kafka
- Experience designing reliable, observable systems (monitoring, logging, alerting, recovery)
- Strong understanding of data modeling, schema evolution, and data quality
- Ability to collaborate with ML, data, and product engineering teams and deliver in ambiguous environments
- Strong sense of ownership with a track record of delivering scalable infrastructure
- Excitement about music, creativity, and AI
- Must be eligible to work in the US
- Work from the Cambridge, MA or New York, NY office five days per week
Nice to have
- Experience with AWS services such as Kinesis, Firehose, Lambda, S3, and Glue
- Experience with Snowflake or similar cloud data warehouse, including performance and cost optimization
- Experience with Dagster, Airflow, or similar orchestration frameworks
- Experience with dbt for transformations, testing, and modular data modeling
- Experience with Terraform or similar infrastructure-as-code tools
Full description
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:
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.