Golang Engineer (Recommendation), Strategy Engine

Job description

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. ### Responsibilities - Design, build, and optimize complex backend logic for our Strategy and Personalization Engines to drive dynamic UI experiences based on user behavior metrics. - Build high-throughput data processing endpoints that deliver tailored, real-time user experiences depending on user lifecycle, engagement, and status. - Partner closely with Data Analysts and Product Managers to implement user-behavior-driven strategies, track feature performance, and iterate on algorithm effectiveness. - Collaborate across functional squads (Frontend, DevOps, QA) to bridge user-facing features with robust backend infrastructure. - Advocate for engineering best practices, maintain code quality, and participate in thorough code reviews. ### Requirements - 3 to 6 years of professional back-end software development experience, with a core proficiency and recent production track record in Golang. - Proven experience building data-driven backend systems, user profiling architectures, event tracking platforms, or user-behavior-driven applications. - Experience building or collaborating on Recommendation Systems, personalization engines, or A/B testing frameworks is highly preferred. - Solid understanding of distributed systems, microservices architecture, relational/NoSQL databases, and message brokers (e.g., Kafka). - Strong communication skills with an appetite for working in a fast-paced, product-centric squad environment. - Bachelor's or Master's degree in Computer Science, Engineering, or a related field