Senior Backend Engineer at Udio

Compensation

$160,000 – $220,000/yr

Location: Town of Goshen, New York
Type: Full-time
Level: Senior
Posted: Dec 15, 2025

Description

Udio is seeking a Senior Backend Engineer to develop and maintain the systems responsible for transforming unified datasets into application-ready content and robust downstream analytics. This role involves building pipelines, services, and models to make content discoverable, searchable, analyzable, and operationally reliable, powering both product features and business operations through data consistency, ETLs, and fingerprinting pipelines.

Required Skills

BigQuery
Dataflow/Beam
PubSub
ETL/ELT pipelines
event processing
data modeling
Python
SQL
Spark
event-driven architectures
Kafka
data quality
schema evolution
lineage
operational reliability
application-facing APIs
microservices
information retrieval
indexing systems
search infrastructure
fingerprinting
perceptual hashing
audio similarity metrics
content-matching algorithms
ML workflows
batch + streaming architectures
Go
Next.js
React Native

Additional Information

Required Previous Experiences: 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, 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.
Strong understanding of data quality, schema evolution, lineage, and operational reliability.
Ability to design pipelines that balance cost, latency, correctness, and scale.
Clear communication skills and an ability to collaborate closely with Product, Research, and Analytics stakeholders.
Preferred Qualifications: Experience building application-facing APIs or microservices that expose structured content.
Background in information retrieval, indexing systems, or search infrastructure.
Experience with fingerprinting, perceptual hashing, audio similarity metrics, or content-matching algorithms.
Familiarity with ML workflows and how downstream analytics and usage data feed back into research pipelines.
Understanding of batch + streaming architectures and how to blend them effectively.
Experience with Go, Next.js, or React Native for occasional full-stack contributions.