Senior / Staff Software Engineer (Data Infrastructure)

Join Suno, a rapidly growing company in the AI and music industry. As a Senior/Staff Software Engineer focused on Data Infrastructure, you will design and operate the pipelines and infrastructure that power Suno's data platform. You will work closely with Engineering, Data, and ML teams to ensure data reliability, timeliness, and scalability. Your work will directly influence the company's ability to ship, measure, and improve products.

• Design, build, and maintain scalable data ingestion pipelines using AWS services such as Kinesis, Firehose, Lambda, S3, and Glue.
• Own the architecture and reliability of core data infrastructure, including both streaming and batch pipelines.
• Collaborate with Analytics and ML teams to ensure the data platform supports a wide range of use cases, from reporting to model training.
• Deep experience building and operating data pipelines, including both real-time (streaming) and batch processing systems
• Experience designing systems for reliability and observability (monitoring, logging, alerting, tracing)
• 5-7+ years of experience as a Software Engineer, Data Engineer, or in a similar infrastructure-focused role
• A genuine passion for music, creativity, and AI, and excitement about enabling the next wave of generative creation through robust data infrastructure
• Strong experience with Snowflake, including data modeling, performance optimization, and large-scale data processing
• Hands-on experience with AWS data services, including Kinesis (Streams), Firehose, Lambda, and Glue
• Strong programming skills (Python preferred) with experience building production-grade distributed systems
• Experience collaborating cross-functionally with data, ML, and product engineering teams
• Strong understanding of data warehousing, data modeling, and pipeline design best practices
• Proficiency with dbt for managing transformations, testing, and modular data modeling
• Ability to operate in ambiguous environments and make pragmatic, high-quality technical decisions
• Familiarity with infrastructure as code (e.g., Terraform) and managing cloud resources programmatically
• A strong sense of ownership and a track record of delivering scalable infrastructure systems
• Experience with orchestration frameworks such as Dagster (or similar tools like Airflow), with an emphasis on building maintainable, observable workflows