CloudOps Engineer
•Deel· 3h
EngineeringFull-timeEurope
3h ago
Constructor 1·5 days ago
Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so.
Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco.
We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things.
Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today.
The Recommendations team plays an important role in improving the experience of our customers & end-users. We're a passionate team of cross-functional engineers who love challenges and want to make people’s lives better. We value openness, curiosity, continuous improvement, and great code. We believe that empowering everyone in a company to do what they think is best can lead to great things.
Our team is committed to perfecting traditional methods of product discovery while spearheading new avenues with the assistance of large language models, ushering in a new era of innovation and user engagement.
The Recommendation team manages multiple endpoints within shared services, alongside its own cloud-deployed solutions developed in Python, which require leveraging NoSQL databases and interfacing with both internal and external services. As part of our roadmap, we are planning to separate all main developments into distinct high-load distributed services.
A primary focus of this job is to design, deliver & maintain highload real-time web services in close collaboration with other great engineers both from recommendations & other teams.