Senior Backend Engineer - Sorting (all genders)

Posted Yesterday
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2 Locations
Hybrid
Senior level
Retail • Software
The Role
Build and own a high-throughput product ranking engine that combines machine-learning scores with business logic. Develop reliable BigQuery-to-database batch pipelines and low-latency APIs using Node.js and TypeScript. Optimize PostgreSQL and MySQL schemas and queries, implement deterministic and fair sorting, and collaborate with data engineering, product, and commercial teams on ranking decisions.
Summary Generated by Built In
Company Description

ABOUT YOU is one of Europe’s fastest growing e-commerce companies. Based in Hamburg and Berlin, we operate at the intersection of fashion and technology. Our mission is to rethink online shopping and make it personal and seamless. This takes more than good ideas. It takes people who take initiative and challenge the status quo. We believe in flat hierarchies, direct communication, and pragmatic decisions. No long approval chains. Just ownership, trust, and clear responsibility. We work hard, but we also believe in enjoying the ride together - over team lunches, afterwork drinks, company events, or a quick coffee in between meetings. If this sounds like you, ABOUT YOU could be the right place to bring in your perspective.

Job Description

  • 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

Qualifications

  • 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

Additional Information

Your perks at a glance: Visit our benefits page.

Simply apply online via our career page - we will get back to you as soon as possible!

A Place Where You Can Be You
We take it as our responsibility to create an environment where everyone feels welcome, exactly as they are.
Different backgrounds and perspectives make us stronger and shape our culture in ways that matter.
What we stand for internally, we stand for as a brand: acceptance, inclusion, and a fairer approach to fashion.

Skills Required

  • 5+ years of experience with backend systems
  • Node.js and TypeScript experience preferred, or backend experience with Java, Go, or Kotlin
  • Strong hands-on SQL knowledge, including PostgreSQL/MySQL schema design, query optimization, and batch operations
  • Algorithmic understanding of sorted data, deduplication, latency trade-offs, and constraint logic
  • Experience serving machine-learning model scores or ranking data in live systems
  • Clear communication skills in English
  • Experience with job queues such as BullMQ and Redis or batch processing pipelines
  • Exposure to AWS Step Functions, AWS CDK, or GCP/BigQuery
  • Background in e-commerce, sponsored products, or ad-tech systems
  • Knowledge of learning-to-rank algorithms
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The Company
HQ: Hamburg
196 Employees
Year Founded: 2018

What We Do

SCAYLE enables brands and retailers to realize their D2C ambition. Easy. Fast. And limitless. With headless commerce technology, international operations, and data-driven marketing. Our commerce engine is proven by the success of ABOUT YOU and allows brands to scale infinitely – empowering them to become market leaders in their industry.

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