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A leading company in the fintech sector is seeking a Senior Backend Engineer to join their Search and Recommendation team. The ideal candidate will have extensive experience in backend development, particularly using Go, and will contribute to enhancing the shopping experience through innovative solutions. This fully remote role includes opportunities for global relocation support and a strong impact on product features.
Senior Backend Engineer (Search and Recommendation)
Senior Backend Engineer (Search and Recommendation)
Department: Marketplace, Engineering
Employment Type: Full Time
Location: Remote
Reporting To: Roman Nerush
Description
Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 15 million users choose Tabby to stay in control of their spending and make the most out of their money.
The company's flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 40,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.
Tabby generates over $10 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region.
Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $3.3 billion.
Our Engineers have a significant impact on the Product, as well as a strong sense of ownership and responsibility for the things they build. At Tabby we strive for high quality, prompt reaction, and smooth process. We never stop experimenting and testing new ways of getting things done on our way to constant improvement. We are looking for autonomous, proactive and open-minded Developers willing to make a valuable contribution to our story.
Within Tabby, the Search and Recommendation team is pivotal in enhancing the Marketplace shopping experience. We make it easier for users to discover and interact with our products by delivering efficient search, catalog with dynamic filtering and various recommendations. Our team develops and maintains an in-house search and recommendation platform, leveraging advanced ML technologies in close collaboration with the ML Engineering team to provide fast and personalized experiences.
Join us to make a direct impact on enhancing how users discover and interact with products!