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Location
Remote (Taiwan, Vietnam, Hong Kong, Australia)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Binance is the world's largest cryptocurrency exchange by trading volume, founded in 2017 by Changpeng Zhao and Yi He. The platform offers spot, margin and derivatives trading across hundreds of digital assets, alongside staking, savings products, payments, an institutional custody arm and a self-custodial Web3 wallet. The group also created BNB Chain, one of the most used smart contract networks, and now operates under a licensed regional structure after a 2023 settlement with United States authorities that installed new leadership and compliance oversight.

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

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