{"id":4219781,"url":"https://alion.io/job/binance-full-stack-engineer-recommendation-engine-apac-remote","title":"Full Stack Engineer - Recommendation Engine (APAC Remote)","company":{"id":44,"name":"Binance","domain":"binance.com","url":"https://alion.io/company/binance","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":95,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0.333,"time_to_fill_p50_days":58,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Hong Kong","Singapore","Japan","Taiwan"],"countries":["HK","SG","JP","TW"],"hiring_countries":["CN","IN","JP","AU","ID","MY","NZ","PK","PH","KR","TW","TH","VN","AS","BD","BT","BN","KH","CK","TL","FJ","PF","GU","KI","LA","MV","MH","FM","MN","NR","NP","NC","NU","NF","MP","PW","PG","PN","WS","SB"],"hiring_countries_total":49,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"React.js","optional":false},{"name":"GitHub","optional":true},{"name":"JavaScript","optional":true},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-11-13T02:51:27Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T04:13:04Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"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, and more. Our mission is to increase the freedom of money and financial access for people around the world.\nAbout the Team:\nThe Recommendation Engine team builds the personalized UI and content across Binance's App and Web - personalized content, adaptive layouts, and recommendation-driven components that make the product feel tailored to each user. Our systems serve 300+ million users worldwide with real-time, relevant, personalized content across all major App/Web surfaces, from home page to user center, trading, markets, and account views. We own the full path: data integration, candidate generation, ranking, serving, and the frontend rendering that puts recommendations in front of users.\nWhat You’ll Do:\nOwn recommendation features end to end - data integration, backend ranking and serving, and the frontend surfaces - from spec to deployment, and drive the system through experimentation, measurement, and iteration.\nPartner with data, algorithm, and business teams to design recommendation strategies and experimentation plans - multi-layered strategies, personalized content delivery, strategy comparison, and data tracking solutions.\nUse mainstream AI coding tools (Cursor, Copilot, Claude Code) as a core part of your daily workflow to maximize development efficiency.\nWhat We’re Looking For:\nBachelor's or above, preferably in Computer Science or Software Engineering; 5+ years of full stack development, with exposure to recommendation, search, or ads systems a plus.\nProficient in Go with working knowledge of Java; deep understanding of high-concurrency systems, multithreading, locking, and asynchronous programming.\nExperienced in building high-availability, high-performance systems; strong grasp of load balancing, fault tolerance, and graceful degradation.\nSolid understanding of data storage infrastructure - relational databases, caching, and messaging systems - including schema design and query optimization.\nProficient in React, with hands-on experience building and integrating complete pages and components; familiar with frontend state management, dynamic components, and modern build workflows.\nMindful of security across frontend and backend - authentication, authorization, input validation, and protection against common vulnerabilities.\nProficient with AI coding tools (Cursor, Copilot, Claude Code) - able to state requirements and constraints clearly to AI, and to review, validate, and correct AI-generated code.\nSelf-driven and comfortable operating without clear boundaries; able to turn vague ideas into clear specs and drive them forward. Strong logical thinking and communication, proactive problem-solving, and a genuine passion for learning new technologies.\nNice to Haves:\nExperience with LLM-based generative content creation.\nFeature engineering for recommendation, search, or ads systems.\nCross-platform development experience (iOS/Android/Web).\nOpen-source contributions or notable GitHub projects.\nWhy Binance\nShape the future of finance \nCollaborate with world-class talent in a user-centric global organization with a flat structure\nTackle challenging projects in a fast-paced and innovative enviornment with autonomy\nThrive in a results-driven workplace with opportunities for career growth and continuous learning\nCompetitive salary and company benefits\nRemote-first, work-from-home arrangement (may vary depending on the nature of the role and team)\nBinance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.\nBy submitting a job application, you acknowledge that you have read our Candidate Privacy Notice.\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. 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