Suno30.04.2026
Senior / Staff Software Engineer, Data Infrastructure
Полная занятостьОфис
Обязанности
- 01Design, build, and maintain scalable data ingestion pipelines using AWS services such as Kinesis, Firehose, Lambda, S3, and Glue
- 02Own the architecture and reliability of core data infrastructure, including both streaming and batch pipelines
- 03Build and maintain data workflows and orchestration using Dagster, ensuring pipelines are modular, testable, and observable
- 04Partner with backend and product engineers to define event schemas, data contracts, and ingestion patterns from production systems
- 05Improve the reliability and observability of data pipelines through monitoring, alerting, lineage tracking, and automated recovery mechanisms
- 06Collaborate with Analytics and ML teams to ensure the data platform supports a wide range of use cases, from reporting to model training
- 07Optimize pipelines and storage for performance, cost efficiency, and scalability across AWS and Snowflake
- 08Implement infrastructure as code (e.g., Terraform) to manage AWS and Snowflake resources in a consistent, reproducible way
- 09Contribute to data platform standards, including schema evolution, data quality enforcement, and pipeline reliability best practices
- 10Lead technical design discussions and help shape the future architecture of Suno’s data platform
- 11Mentor other engineers and raise the bar for engineering quality, reliability, and maintainability
Требования
- 015-7+ years of experience as a Software Engineer, Data Engineer, or in a similar infrastructure-focused role
- 02Strong programming skills (Python preferred) with experience building production-grade distributed systems
- 03Deep experience building and operating data pipelines, including both real-time (streaming) and batch processing systems
- 04Hands-on experience with AWS data services, including Kinesis (Streams), Firehose, Lambda, and Glue
- 05Strong experience with Snowflake, including data modeling, performance optimization, and large-scale data processing
- 06Experience with orchestration frameworks such as Dagster (or similar tools like Airflow), with an emphasis on building maintainable, observable workflows
- 07Proficiency with dbt for managing transformations, testing, and modular data modeling
- 08Experience designing systems for reliability and observability (monitoring, logging, alerting, tracing)
- 09Familiarity with infrastructure as code (e.g., Terraform) and managing cloud resources programmatically
- 10Strong understanding of data warehousing, data modeling, and pipeline design best practices
- 11Experience collaborating cross-functionally with data, ML, and product engineering teams
- 12Ability to operate in ambiguous environments and make pragmatic, high-quality technical decisions
- 13A strong sense of ownership and a track record of delivering scalable infrastructure systems
- 14A genuine passion for music, creativity, and AI, and excitement about enabling the next wave of generative creation through robust data infrastructure
Условия
- 01Applicants must be eligible to work in the US
- 02This is an onsite role in NYC or Boston
- 03This is a 5 days a week in-office role
- 04Company Equity Package
- 05401(k) with 3% Employer Match & Roth 401(k)
- 06Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)
- 0711 Paid Holidays + Unlimited PTO & Sick Time
- 0816 Weeks of Paid Parental Leave
- 09Creative Education Stipend
- 10Generous Commuter Allowance
- 11In-Office Lunch (5 days per week)