Backend Software Engineer, Shop Ads

New Yesterday

The eCommerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies. TikTok Shop re-imagines global eCommerce with rich content and endless joy. The mission of Shop Ads team is to empower commerce merchants of all sizes to grow their business efficiently within TikTok's closed-loop ecosystems. Shop Ads, our feature ad solution, enables all TikTok Shop Sellers to promote their products in TikTok efficiently. We are looking for strong Backend Engineers who are excited to grow their business understanding, build highly scalable and reliable software, and partner across disciplines with global teams in pursuit of excellence. Responsibilities: - Apply state-of-the-art backend development techniques to optimize TikTok Ads solution end to end, including but not limited to ad creation/delivery/creative automation/format optimization/etc. , improve Shop Sellers' marketing experience. - Connect with businesses directly to understand and develop solutions for their jobs-to-be-done. - Collaborate with Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on TikTok. - Capitalize on the organic shopping behaviors on TikTok today and facilitate retentive behaviors to provide more people value and business value.
Minimum Qualifications: - BS/MS degree in Computer Science or similar fields, with related industry experience. - Solid Computer Science fundamentals (algorithms, data structures, software design) and problem-solving skills. - Solid programming skills, proficient in Python/Golang/Java/C/C++. - Familiarity with logging and testing framework. - Familiarity with databases (MySQL, Redis etc). - Team-player with strong communication skills who can also work independently. Preferred Qualifications: • Familiarity with main components for Ads systems, including ad creation, ad creative/format optimization. • Proficiency and experience with designing, implementing, and operating large-scale distributed systems
Location:
Seattle

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