Udio (udio.com)
Senior Backend Engineer, Product and Infra
New York · Senior
Sponsorship not specified$180k-$220kDetected 71 days ago
PythonGoReactNext.jsReact NativeSpringBackend DevelopmentFull-Stack DevelopmentSQLBigQueryKafkaMachine LearningSparkData EngineeringA/B TestingResearchCommunication
About the role
- You'll architect systems that are fast, correct, and maintainable.
- We use Python, Go, BigQuery, Pub/Sub, and a microservices architecture-but we care more about good judgment than specific tool experience.
Responsibilities
- 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 metadata access APIs, indexing workflows, and retrieval-ready representations.
- Implement and refine fingerprinting pipelines used for deduplication, rights attribution, safety checks, and provenance validation.
- Own data consistency between ingestion systems, application surfaces, metadata storage, and downstream reporting environments.
- Collaborate with Product teams to ensure content structures and APIs support evolving features and high-quality user experiences.
- Partner with Analytics and Research teams to deliver clean usage datasets for experimentation, model evaluation, reporting, and internal insights.
- Operate large analytical workloads in BigQuery and build reusable Dataflow/Beam components for structured processing.
- 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.
Requirements
- 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.
- Strong understanding of data quality, schema evolution, lineage, and operational reliability.
Nice to have
- 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.
- You'll work on high-impact data challenges involving real-time signals, large-scale metadata systems, and cross-platform consistency.
- You'll join a small, fast-moving team where you'll shape the structure, reliability, and intelligence of our downstream data ecosystem.
Compensation
- The starting base salary range for this role is $180,000 - $220,000.
- Actual salary may vary based on level, work experience, performance, and other factors evaluated during the hiring process.
Benefits
- Highly competitive salary and equity
- Flexible time off
- Top notch private health, dental, and vision insurance for you and your dependents
- Concierge medical/primary care through One Medical and Rightway
- Mental health support from Spring Health
- Personalized life insurance, travel assistance, and many other perks
- This role is eligible for a compensation package of base salary, equity, and benefits.
Company info
- What We're Looking For
- We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
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