10 years ago
London, United KingdomSenior
Responsibilities
- Build scalable, high-impact acquisition technology products for millions of users.
- Own projects end to end, from design and feature definition through shipping and delivery.
- Develop systems supporting organic search growth, duplicate-content reduction, and paid-search bid optimization.
- Write, test, deploy, and maintain production code in a predominantly Python-based environment.
- Collaborate with engineers, product managers, designers, data scientists, and non-technical teams.
- Contribute to code quality, technical leadership, open-source projects, and the engineering community.
Requirements
- At least five years of experience writing production code.
- Strong software engineering skills and a passion for well-engineered products.
- Experience building scalable, high-impact, high-performing products.
- Comfort working with Python or another performant typed language such as C++ or Java.
- Experience in a leadership role and delivering projects from start to finish.
- Understanding of data structures, algorithms, TDD, and APIs, with an interest in microservices.
- Confidence working with changing requirements, ambiguity, and autonomous delivery.
- Experience testing and deploying code, including confidence using Docker and Git.
Benefits
- Conference tickets are paid for and engineering teams meet twice monthly to share work.
- Internal learning and development classes, including Python and SEO topics, are available.
- A team training budget helps cover external courses.
- Clothing allowance for purchases from Lyst.
- Social events including board games, bowling, movie nights, and triathlons.
- Regular yoga classes, football and netball teams, and support for work-life balance.
Tech Stack
Categories
About Lyst
Lyst builds a global fashion shopping and search platform that aggregates premium and luxury products from thousands of brands and retailers, earning revenue from referrals and checkout transactions. Founded in 2010 and headquartered in London, it was acquired by Zozo in 2025. The service lists over 8.5 million items from 17,000+ brands for roughly 200 million shoppers, and relies heavily on machine-learning search and recommendations.