ABOUT YOU

E-commerce fashion retailer offering personalized recommendations

Backend Engineer - Recommendation

Backend EngineeringConfirmed live in the last 24 hours

Full-time€60k - €70k /yrHybrid

About the Job

Requirements

At least 3 years of experience building high-throughput backend services, with Node.js and TypeScript preferred or the ability to transition quickly from Java, Go, or Kotlin.
Deep experience with Redis or Valkey data modeling, multi-tier caching hierarchies with time-to-live and invalidation strategies, and binary payload formats such as Protobuf or Avro.
Ability to operate application programming interfaces at 10,000 or more requests per second under strict latency service-level objectives.
Experience or capability bridging backend engineering and machine learning by serving model scores, embeddings, or large language model features in live systems.
Clear communication skills in English and a data-driven, experiment-friendly mindset.

Responsibilities

Develop the recommendation engine powering the homepage, product pages, and outfit pages using Node.js and TypeScript.
Serve offline-trained machine learning models, including matrix factorization, brand similarity, and image embeddings, at Black Friday scale from Valkey, DynamoDB, and OpenSearch.
Design personalization logic covering feed assembly, fallback chains, deduplication, diversity, and A/B experimentation.
Build generative artificial intelligence product features such as a streaming Gemini fashion advisor, focusing on low latency, session state, and token cost control.
Own reverse extract-transform-load pipelines that move BigQuery model outputs into high-performance hot stores.
Instrument recommendation coverage, track business metrics through SQS and business intelligence systems, and shape architecture alongside the Tech Lead.

Desired Qualifications

Knowledge of recommender-system fundamentals, including collaborative filtering, matrix factorization, cold-start handling, and diversity algorithms.
Experience with streaming generative artificial intelligence or large language model products, including chat user experience, prompt caching, and guardrails.
Experience with AWS serverless services, including DynamoDB modeling and SQS/SNS, and with OpenSearch k-nearest-neighbor indices.
Experience with performance profiling using clinic.js and flamegraphs, and load testing using k6.

Job Description

Develop the recommendation engine powering ABOUT YOU's homepage, product, and outfit pages in Node.js/TypeScript
Serve offline-trained ML models (matrix factorization, brand similarity, image embeddings) at Black-Friday scale from Valkey, DynamoDB, and OpenSearch
Design personalization logic: feed assembly, fallback chains, deduplication, diversity, and A/B experimentation
Build GenAI product features like our streaming Gemini fashion advisor, focusing on low latency, session state, and token cost control
Own reverse-ETL pipelines that move BigQuery model outputs into high-performance hot stores
Instrument recommendation coverage, track business metrics via SQS/BI systems, and shape architecture alongside our Tech Lead

Qualifications

You take end-to-end responsibility for our recommendation engine and love seeing your changes directly impact customer engagement
3+ years of experience building high-throughput backend services (Node.js/TypeScript preferred, or fast-converting from Java, Go, or Kotlin)
Real depth in Redis/Valkey data modeling, caching hierarchies (multi-tier, TTLs/invalidation), and binary payloads (Protobuf/Avro)
High-throughput mindset: comfortable operating APIs that scale to 10k+ rps under strict latency SLOs
You're excited to bridge backend engineering and ML by serving model scores, embeddings, or LLM features in live systems
Clear communication skills in English and a data-driven, experiment-friendly mindset

Nice to Have

RecSys fundamentals (collaborative filtering, matrix factorization, cold-start handling, diversity algorithms)
Streaming GenAI / LLM product experience (chat UX, prompt caching, guardrails)
Experience with AWS serverless (DynamoDB modeling, SQS/SNS) and OpenSearch k-NN indices
Performance profiling (clinic.js, flamegraphs) and load testing (k6)

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.

Compensation: 60000 to 70000 (EUR) (YEARLY)

About the Company

ABOUT YOU

E-commerce fashion retailer offering personalized recommendations

ABOUT YOU is an online fashion retailer that offers a wide range of clothing, shoes, and accessories from over 2,000 top brands. The company serves fashion-conscious women who follow the latest trends and styles. It runs on an e-commerce website that provides a seamless shopping experience with a user-friendly interface, easy ordering, and multiple payment options. Revenue comes from selling products directly to consumers, often supported by promotions and discounts. Data analytics power personalized shopping by recommending items based on individual preferences and browsing history. Compared with competitors, ABOUT YOU stands out with its expansive brand selection, data-driven personalized recommendations, frequent promotions, and a focus on a smooth online experience. The company's goal is to help customers discover and buy the latest fashion items efficiently while driving sales through tailored offerings.

Company size: 1,001-5,000
Company stage: IPO
Headquarters: Hamburg, Germany
Founded: 2013

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