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1,635

Java jobs in Singapore

Backend Engineer - TikTok Recommendation Developer Infrastructure

TikTok

Singapore
On-site
SGD 90,000 - 120,000
5 days ago
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Backend Engineer: Recommendation Infra & Platform

TikTok

Singapore
On-site
SGD 90,000 - 120,000
5 days ago
Be an early applicant

Information Technology - Data Scientist (Data Science Track)

SINGAPORE AIRLINES LIMITED

Singapore
On-site
SGD 60,000 - 90,000
5 days ago
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Payments Solutions Specialist

FCS Careers

Singapore
On-site
SGD 70,000 - 90,000
5 days ago
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Software Engineer

FERMAX

Singapore
On-site
SGD 80,000 - 110,000
5 days ago
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Senior Data Scientist

Caterpillar

Singapore
On-site
SGD 100,000 - 125,000
5 days ago
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Senior Data Scientist - Lead Analytics for Exec Decisions

Caterpillar

Singapore
On-site
SGD 100,000 - 125,000
5 days ago
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BIM ENGINEER

ELAN ENGINEERING & MAINTENANCE PTE. LTD.

Singapore
On-site
SGD 80,000 - 100,000
5 days ago
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Engineering Manager

BOOKING.COM CONSULTING SERVICES (SINGAPORE) PTE. LTD.

Singapore
On-site
SGD 80,000 - 100,000
5 days ago
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Quality Assurance Automation Engineer

CDG ZIG PTE. LTD.

Singapore
On-site
SGD 60,000 - 85,000
5 days ago
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Senior Software Engineer - Lead Architect & Delivery

20Sept

Singapore
On-site
SGD 70,000 - 100,000
5 days ago
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L2 Support Engineer – Mission Critical 24x7 Systems

Newtone Consulting

Singapore
On-site
SGD 60,000 - 80,000
5 days ago
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Integration Specialist

CUTE MARINE SERVICES PTE. LTD.

Singapore
On-site
SGD 70,000 - 100,000
5 days ago
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Cybersecurity Engineer

CERTIS GROUP - GHR

Singapore
On-site
SGD 80,000 - 120,000
5 days ago
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SAP BTP/CPI Lead

NTT

Singapore
On-site
SGD 90,000 - 120,000
5 days ago
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Cybersecurity Manager

ANCHOR SEARCH GROUP PTE. LTD.

Singapore
On-site
SGD 80,000 - 120,000
5 days ago
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Application Support Engineer | Up to $3K | Kallang - YZ11

THE SUPREME HR ADVISORY PTE. LTD.

Singapore
On-site
SGD 60,000 - 80,000
5 days ago
Be an early applicant

Kafka & Confluent Streaming Engineer

SILVERLINK TECHNOLOGIES PTE. LTD.

Singapore
On-site
SGD 80,000 - 120,000
5 days ago
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software consultant

SILVERLINK TECHNOLOGIES PTE. LTD.

Singapore
On-site
SGD 80,000 - 120,000
5 days ago
Be an early applicant

Backend Engineer – Scalable Data Storage & Open Source

TIKTOK PTE. LTD.

Singapore
On-site
SGD 80,000 - 100,000
5 days ago
Be an early applicant

Backend Software Engineer, TikTok Data Ecosystem (Storage)

TIKTOK PTE. LTD.

Singapore
On-site
SGD 80,000 - 100,000
5 days ago
Be an early applicant

Senior Cloud Engineer

CLPS TECHNOLOGY (SINGAPORE) PTE. LTD.

Singapore
On-site
SGD 70,000 - 100,000
5 days ago
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Solution Engineer - Singapore & ROA

JFrog

Singapore
Remote
SGD 70,000 - 100,000
5 days ago
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Head of Business Process Reengineering (BPR)

MIMS Pte Ltd

Singapore
On-site
SGD 70,000 - 100,000
5 days ago
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Senior Data Engineer

Talentsis

Singapore
On-site
SGD 80,000 - 120,000
5 days ago
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Top job titles:

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Top companies:

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Backend Engineer - TikTok Recommendation Developer Infrastructure
TikTok
Singapore
On-site
SGD 90,000 - 120,000
Full time
5 days ago
Be an early applicant

Job summary

A leading social media company in Singapore is looking for an experienced architect to design high-performance recommendation systems. The ideal candidate will have a Bachelor's degree in Computer Science and over 3 years of experience in scalable systems. Proficiency in languages like C, C++, Java, or Golang is required. This position offers the chance to improve architecture quality and service performance in a fast-paced environment.

Qualifications

  • 3+ years of experience building scalable systems.
  • Strong programming skills with languages like C, C++, Java, or Golang.
  • Excellent communication skills and sense of ownership.

Responsibilities

  • Design high-performance and flexible architecture.
  • Build a recommendation system analysis platform.
  • Identify and optimize weak links in current systems.
  • Improve overall architecture quality and service performance.

Skills

C
C++
Java
Golang
Effective communication
Effective communication

Education

Bachelor's degree in Computer Science or related fields
Job description
About the team

Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our TikTok users. Due to the big system scale and large engineering community that covers multiple Recommendation products, we invest heavily in the developer infra area, from developer environments and continuous integration / continuous deployment (CI / CD) to frameworks, libraries, and various productivity tools.

Responsibilities
  • Provide high-performance, highly available, and flexible architecture design, high-quality code implementation, and continuously improve engineering quality based on product and strategy requirements for complex business scenarios;
  • Build a recommendation system analysis platform to provide product-level tool support for problem analysis and debugging;
  • Thoroughly comb through existing business systems, identify and optimize weak links in the system, improve the overall architecture quality, service performance, and stability of the system;
  • Abstract and precipitate common business architecture based on actual business conditions, improve the degree of basic capability reuse, and better support business rapid iteration.
Minimum Qualifications
  • Bachelor's degree or above, majoring in Computer Science, or related fields, with 3+ years of experience building scalable systems;
  • Experience in programming, included but not limited to, the following programming languages: C, C++, Java or Golang;
  • Effective communication skills and a sense of ownership and drive;
  • Preferred Qualifications: Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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