Full Stack Developer

## About the role Dresslife is building a cutting-edge fashion personalization engine that transforms how customers discover clothing and interact with fashion brands online. Our technology combines multiple data sources like real-time user events, product images, and alternative data sources to power in-house ML models that deliver state-of-the-art personalization performance for web shops. Join our innovative team and help shape the future of fashion technology. ## Responsibilities - Develop existing and new client integrations across our platform - Enhance and optimize real-time user event collection system - Develop scalable solutions that maintain performance under high traffic conditions - Work with our engineering team to implement new features and capabilities ## Requirements - Master's degree in Computer Science or equivalent professional experience - 3+ years of professional software development experience - Strong proficiency with production-grade TypeScript - Deep understanding of JavaScript toolchain/bundlers and modern development workflows - Demonstrated ability to write clean, maintainable code and tests ## Plus - Experience with AWS services (Lambda, S3, ECS, DynamoDB, CloudFront, API Gateway) - Background in developing and maintaining Shopify applications - DevOps/CI experience with automated testing and deployment pipelines - Expertise in web analytics implementation and optimization - Proficiency with modern JavaScript frameworks (Remix, Next.js, React) ## What we offer - Our salaries are based on location-dependent indexes - 100% remote work environment - Modern hardware and tools of your choice - "No silent disagreement culture": we encourage open feedback and constructive dialog at all levels - Accelerated career growth: demonstrated ability leads to expanded responsibilities and opportunities - Work with a state-of-the-art tech stack (serverless AWS compute, vector DBs, etc.) ## About the company Dresslife is building a cutting-edge fashion personalization engine that transforms how customers discover clothing and interact with fashion brands online. Our technology combines multiple data sources like real-time user events, product images, and alternative data sources to power in-house ML models that deliver state-of-the-art personalization performance for web shops. Join our innovative team and help shape the future of fashion technology.