Graduate Software Engineer - AI-Native Data Platform

TikTok Pte. Ltd.

Singapore

Sur place

SGD 120 000 - 190 000

Plein temps

14 jours+

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Résumé du poste

TikTok Pte. Ltd. in Singapore invites talented graduates to join the Global Advertising Data Platform team, shaping the data foundation behind advertising across our international products.

You'll own architecture and build high-throughput services serving billions of events, with agents and tooling to enable scalable data work. You will contribute to semantic modeling, data governance, and a testable quality framework, creating observable metrics, lineage, and secure data contracts.

Qualifications

  • Bachelor's degree in Computer Science or related discipline.
  • Strong command of at least one programming language (Java, C, C++, Python, or Go).
  • Solid CS fundamentals: data structures, algorithms, operating systems, databases and networks.
  • Ability to review, test, and take responsibility for AI coding agents.

Responsabilités

  • Own architecture and hands-on development of high-throughput services serving hundreds of millions of users' advertising activity.
  • Design agent-facing data services and tool interfaces (APIs, catalog retrieval, query execution) with proper permissions and audit trails.
  • Contribute to semantic layer with metrics, dimensions, lineage, and data contracts.
  • Build golden query suites, regression and evaluation harnesses, and data quality monitoring.

Connaissances

Programming languages
CS fundamentals

Formation

Bachelor's degree in Computer Science or related discipline

Outils

Big data technologies: Spark, Flink, Kafka, Iceberg/Hudi, ClickHouse, Presto/Trino

Description du poste

TikTok Pte. Ltd. in Singapore invites talented graduates to join the Global Advertising Data Platform team, shaping the data foundation behind advertising across our international products.

You'll own architecture and build high-throughput services serving billions of events, with agents and tooling to enable scalable data work. You will contribute to semantic modeling, data governance, and a testable quality framework, creating observable metrics, lineage, and secure data contracts.

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