Live opening · Posted 3 days ago
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Description supplied by the original job listing.
Shape how millions of users see products by blending ML model outputs with business logic (like campaign boosts or sponsored items)
Build and own our high-throughput ranking engine ("Spotsetter") to ensure fast, deterministic, and fair product sorting
Design reliable batch write pipelines that stream data from BigQuery straight into high-performance relational stores like Postgres and MySQL
Develop low-latency serving APIs with Fastify and Node.js/TypeScript
Work closely with data engineers, product managers, and commercial teams to make data-driven ranking decisions
Architectural freedom: collaborate with our Tech Lead, bring in your own ideas, and keep our codebase clean
You love digging into ranking problems, taking deep ownership of a product, and seeing your changes move real business metrics
5+ years of experience with backend systems (Node.js/TypeScript preferred, but we welcome fast learners from Java, Go, or Kotlin)
Strong hands-on SQL knowledge (Postgres/MySQL schema design, query optimization, and batch operations beyond basic ORMs)
Good algorithmic intuition for sorted data, deduplication, latency trade-offs, and constraint logic
You're excited to bridge backend engineering and ML by serving model scores or ranking data in live systems
Clear communication skills in English and a pragmatic, solution-oriented mindset
Nice to Have
Experience with job queues (BullMQ, Redis) or batch processing pipelines
Exposure to cloud tooling (AWS Step Functions, CDK, GCP/BigQuery)
Background in e-commerce, sponsored products, or ad-tech systems
Curiosity about learning-to-rank algorithms
Employment type
Full-time
Work arrangement
Hybrid
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