Senior Backend Engineer, Product and Infra
Build and own backend systems, APIs, ETL pipelines, and data services powering content discovery, real-time interactions, and platform reliability at scale. Collaborate with Product, ML, and Analytics teams using Python, Go, and GCP tools.
About the job
What You’ll Do
- 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.
- Define and track key operational metrics, including latency, completeness, accuracy, and event health.
- 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.
- Improve reliability and scale by designing robust schema evolution strategies, idempotent pipelines, and well-instrumented operational flows.
What We’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.
- 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.
Nice to Have
- 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.
Benefits
- Highly competitive salary and equity
- Quarterly productivity budget
- Flexible time off
- Fantastic office location in Manhattan
- Productivity package, including ChatGPT Plus, Claude Code, and Copilot
- Top notch private health, dental, and vision insurance for you and your dependents
- 401(k) plan options with employer matching
- Concierge medical/primary care through One Medical and Rightway
- Mental health support from Spring Health
- Personalized life insurance, travel assistance, and many other perks
Skills
Python, Go, SQL, BigQuery, Pub/Sub, Dataflow, Beam, ETL, APIs, Microservices
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