LYST is hiring a Senior Python Developer

Lyst are hiring senior software engineers to build well engineered, innovative and long lasting solutions for our millions of online shoppers. At the heart of Lyst is a data aggregator that lists millions of fashion products from hundreds of designers, brands and retail partners. A scraping architecture that makes more than 4 million calls a day, we automatically add, de-duplicate and moderate 1000s of new products to the site every week. On top of this data, we build systems that help people discover, follow and buy from their favourite fashion brands. As a senior software engineer, you will join our Acquisition Technology team and work closely with other engineers, product managers, designers and data scientists to solve problems that allow us to acquire users at a scale our competitors cannot match. Some of the things we're working on include reducing the organic dependency upon google.com, reductions in duplicate content and automated bid optimisation platforms to improve our paid search efficiency. You will join a team that: - Builds real products for millions of users, predominantly in a Python based stack. - Deploys 10 times a day, makes nearly 20 thousands lines of changes a week and takes pride and ownership in what they create. - Believes in working in a collaborative manner and that consistent improvement comes from sharing ideas. - Tests things; whether it's your code or a new idea. - Actively contributes to the open source and tech community. Things we use Python, JavaScript, Django, PostgreSQL, Redis, AWS, iOS, Elasticsearch, Docker, Ember.js, Microservices, TDD, buzzwords You will be working on whole projects right from design through to shipping. You will enjoy collaborating with engineers and non technical teams, working on defining features and ensuring they are scaleable and delivered to project deadlines. You can find out more about the team and see some of our open source projects here: http://developers.lyst.com/ We believe that there is no silver bullet to fix the problems and challenges we face: instead we encourage consistent iteration to ensure we are always solving problems. Best Idea Wins.