Suno
Senior / Staff Software Engineer, Data Infrastructure
Boston · Staff+
Work authorization required$222k-$288kDetected 83 days ago
PythonExpressSnowflakeAWSTerraformMachine LearningAirflowdbtData EngineeringAI OrchestrationA/B Testing
About the role
- This is a high-impact, senior role where you'll work at the core of Suno's data ecosystem.
- As Suno grows, the complexity and volume of our data will increase significantly.
- Your work will directly influence how quickly and confidently the company can ship, measure, and improve products.
Responsibilities
- 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.
- 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.
- Collaborate with Analytics and ML teams to ensure the data platform supports a wide range of use cases, from reporting to model training.
- 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.
- Lead technical design discussions and help shape the future architecture of Suno's data platform.
- Deep experience building and operating data pipelines, including both real-time (streaming) and batch processing systems.
Requirements
- 5-7+ years of experience as a Software Engineer, Data Engineer, or in a similar infrastructure-focused role.
- Hands-on experience with AWS data services, including Kinesis (Streams), Firehose, Lambda, and Glue.
- Strong experience with Snowflake, including data modeling, performance optimization, and large-scale data processing.
- Experience with orchestration frameworks such as Dagster (or similar tools like Airflow), with an emphasis on building maintainable, observable workflows.
- Proficiency with dbt for managing transformations, testing, and modular data modeling.
- Experience designing systems for reliability and observability (monitoring, logging, alerting, tracing).
- Familiarity with infrastructure as code (e.g., Terraform) and managing cloud resources programmatically.
- Strong understanding of data warehousing, data modeling, and pipeline design best practices.
- Experience collaborating cross-functionally with data, ML, and product engineering teams.
- Ability to operate in ambiguous environments and make pragmatic, high-quality technical decisions.
Compensation
- The annual salary range for this role is $222,222 - $287,500 + target equity + benefits (including medical, dental, vision, and 401k)
Benefits
- Company Equity Package
- Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)
- 11 Paid Holidays + Unlimited PTO & Sick Time
- 16 Weeks of Paid Parental Leave
- Creative Education Stipend
- Generous Commuter Allowance
Equal opportunity
- Suno is proud to be an Equal Opportunity Employer.
- Equal Opportunity Employer.
This listing is sourced directly from Suno's careers page and normalized into a canonical job model.