Senior

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Senior in USA new

Suno
Full time
Email

USA
10/31/2026
Report

Boston, MA

Responsibilities

Build and scale data infrastructure for personalized recommendations and music discovery.
Design streaming pipelines that convert user interactions and content signals into fresh recommendation features.
Develop offline and online feature computation, storage, and serving infrastructure for model training and inference.
Enable recommendation experimentation through reliable impression and interaction logging.
Own streaming and batch infrastructure architecture, reliability, observability, monitoring, alerting, lineage, and automated recovery.
Build modular, testable, and observable data workflows using orchestration frameworks.
Define event schemas, data contracts, and ingestion patterns with backend and product engineers.
Optimize pipelines and storage for performance, cost, scalability, latency, and freshness across AWS and Snowflake.
Implement infrastructure as code and contribute to standards for schema evolution, data quality, and pipeline reliability.
Lead technical design discussions, shape data platform architecture, mentor engineers, and improve engineering quality.

Requirements

7+ years of relevant experience in software engineering, data infrastructure, or distributed systems.
Strong programming skills, preferably in 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 consistency, and production ML latency and freshness requirements.
Experience with streaming and cloud data infrastructure such as Flink, Kinesis, Kafka, or equivalent technologies.
Experience designing reliable and observable systems with monitoring, logging, alerting, and recovery.
Strong understanding of data modeling, schema evolution, and data quality.
Ability to collaborate with ML, data, and product engineering teams and make pragmatic technical decisions in ambiguous environments.
Track record of owning scalable infrastructure and improving engineering practices.
Preferred experience with AWS Kinesis, Firehose, Lambda, S3, Glue, Snowflake, Dagster, Airflow, dbt, Terraform, or similar tools.
Must be eligible to work in the US.

Benefits

Company equity package.
401(k) with 3% employer match and Roth 401(k).
Medical, dental, and vision insurance with PPO, HSA, and FSA options.
11 paid holidays, unlimited PTO, and sick time.
16 weeks of paid parental leave.
Creative education stipend and generous commuter allowance.
In-office lunch five days per week.
Requires working from the Cambridge, MA, or New York, NY office five days per week.

Salary: $229k - $364k/yr

Suno

Suno is building a future where anyone can make music. Whether you're a shower singer or a charting artist, we break barriers between you and the song you dream of making. No instrument needed, just imagination. From your mind to music.

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