Senior / Staff Software Engineer, Data Infrastructure

Stack

Responsibilities

• ▹Design, build, and maintain scalable data ingestion pipelines using AWS services (Kinesis, Firehose, Lambda, S3, Glue)
• ▹Own the architecture and reliability of core data infrastructure, both streaming and batch
• ▹Build and maintain data workflows and orchestration using Dagster
• ▹Partner with backend and product engineers to define event schemas and data contracts
• ▹Improve reliability and observability of data pipelines through monitoring, alerting, and lineage tracking
• ▹Collaborate with Analytics and ML teams to support a wide range of data platform use cases
• ▹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
• ▹Contribute to data platform standards, including schema evolution and data quality enforcement
• ▹Lead technical design discussions and help shape the future data platform architecture
• ▹Mentor engineers and raise the bar for engineering quality and reliability

Requirements

• ▹5-7+ years of experience as a Software Engineer, Data Engineer, or similar infrastructure-focused role
• ▹Strong programming skills (Python preferred) building production-grade distributed systems
• ▹Deep experience building and operating data pipelines, both real-time and batch
• ▹Hands-on experience with AWS data services, including Kinesis (Streams), Firehose, Lambda, and Glue
• ▹Strong experience with Snowflake, including data modeling and performance optimization
• ▹Experience with orchestration frameworks such as Dagster (or similar, e.g. Airflow)
• ▹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
• ▹Experience collaborating cross-functionally with data, ML, and product engineering teams
• ▹Ability to operate in ambiguous environments and make pragmatic, high-quality technical decisions

Nice to have

• ▹A genuine passion for music, creativity, and AI

Soft skills

What we offer

• ▹Company equity package
• ▹401(k) with 3% employer match & Roth 401(k)
• ▹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
• ▹In-office lunch (5 days per week)

About the company

Suno is building the world's first creative entertainment platform, where everyone can feel the joy of making music. Backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, and NVIDIA's NVentures, Suno is the fastest-growing consumer entertainment company and the leader in AI music.