Backend Engineer - Live Recommendation Architecture (ByteDance Singapore)

ByteDance
Singapore
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 3+ yearsEducation: bachelorsSkills: ["Communication","Ownership","Drive","Problem-solving","System stability focus"]

Build and optimize the live broadcast recommendation architecture, ensuring system stability, high availability, and strong performance. Work on online services and offline data-flow optimization to remove bottlenecks, improve scalability, and reduce costs. Design and develop recommendation platforms and SaaS capabilities, focusing on architecture abstraction, process optimization, and large-scale systems with high concurrency. Collaborate on core component R&D and integrate hardware/software specifications.

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FursaFursa
ByteDance
ByteDance
1 month ago

Backend Engineer - Live Recommendation Architecture (ByteDance Singapore)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 30 days agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build and optimize the live broadcast recommendation architecture, ensuring system stability, high availability, and strong performance. Work on online services and offline data-flow optimization to remove bottlenecks, improve scalability, and reduce costs. Design and develop recommendation platforms and SaaS capabilities, focusing on architecture abstraction, process optimization, and large-scale systems with high concurrency. Collaborate on core component R&D and integrate hardware/software specifications.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Own the live broadcast recommendation architecture and solve architecture optimization problems for the recommendation system.
  • •Design and develop a live broadcast SaaS recommendation system and provide core recommendation capabilities to partners.
  • •Improve architecture abstraction and process optimization for recommendation scenarios, supporting large-scale machine learning optimization.
  • •Build and optimize large-scale high-concurrency, high-throughput systems to enhance stability, performance, and scalability.
  • •Research and develop core components and new technologies, including software testing and performance specification work with hardware engineers.

Key Requirements

  • •Bachelor’s degree or above in Computer Science or related fields, with 3+ years of experience building scalable systems.
  • •Proficiency in programming with languages including C, C++, Java, or Golang.
  • •Solid programming skills with strong design and code style, and enthusiasm for technical challenges.
  • •Effective communication skills plus a sense of ownership and drive.
  • •Experience in at least one of: personalized recommendations, search engine, machine learning, distributed storage systems, or big data frameworks (preferred).
Experience:3+ yearsRecommendation systemsMachine learningBig dataDistributed storage
Education:Bachelor's in Computer Science
Skills:CommunicationOwnershipDriveProblem-solvingSystem stability focus
Tech Stack:CC++JavaGolangMachine learningSaaSDistributed storageBig data

Company Brief

ByteDance
Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: Beijing, China
Founded: 2012
WebsiteLinkedIn