Startups

Senior Backend Engineer, Product and Infra

Udio · New York · On-site

← All jobs
About Udio

Discover, create, and share music with the world. Use the latest technology to create AI music in seconds. Backed by a16z.

About the role

We're looking for a Senior Backend Engineer to build the systems and services that power our product experience. You'll own the backend infrastructure that makes our content discoverable, our features responsive, and our platform reliable at scale.

What they're looking for

  • Experience building production backend services and APIs at scale
  • Experience building ETL/ELT pipelines , event processing systems, and structured data models for applications or analytics
  • Strong background in data modeling , metadata systems, indexing, or building canonical representations for heterogeneous content
  • Proficiency in Python , Go, SQL , and scalable data-processing frameworks (Dataflow/Beam, Spark, or similar)
  • Familiarity with BigQuery or other analytical data warehouses and strong comfort optimizing large queries and schemas
  • Experience with event-driven architectures , Pub/Sub , or Kafka -like systems
More about this role

We're looking for a Senior Backend Engineer to build the systems and services that power our product experience. You'll own the backend infrastructure that makes our content discoverable, our features responsive, and our platform reliable at scale.

Your work will directly shape what users experience: designing APIs that serve rich content, building services that handle real-time interactions, implementing content-matching systems for rights and safety, and ensuring our platform performs under load. You'll architect systems that are fast, correct, and maintainable.

You'll collaborate closely with Product, ML Research, and Mobile/Web teams to ship features that matter. We use Python, Go, BigQuery, Pub/Sub , and a microservices architecture—but we care more about good judgment than specific tool experience.

  • Design and maintain application-level data models that organize rich content into canonical structures optimized for product features, search, and retrieval.
  • Build high-reliability ETLs and streaming pipelines to process usage events, analytics data, behavioral signals, and application logs.
  • Develop data services that expose unified content to the application, such as...

Read the full posting on Udio's site ↗

Technology

Build your edge while you search

Free tools for founders and investors, plus VC Unfiltered, our take on startups, venture and the people who build them.