Software Engineer, Global Advertising Data Platform

re-zoo-me; Singapore; Hybrid; SGD 120,000 - 180,000; Full time

Job summary

We seek strong CS fundamentals, experience with distributed systems, and passion for scalable data architectures. Singapore office focus with collaboration across teams and global impact.

Qualifications

• Bachelor's degree in Computer Science or related discipline.
• Strong programming skills in at least one language (Java, C, C++, Python or Go).
• Solid CS fundamentals: data structures, algorithms, OS, databases and networks.
• Ability to abstract messy logic into clean system boundaries.
• Comfort with AI coding agents and responsibility for outputs.

Responsibilities

• Own architecture and hands-on development of high-throughput services serving hundreds of millions of users' activity.
• Design APIs and tool surfaces for data access with permissions and audit trails.
• Contribute to semantic layer: metrics, dimensions, lineage, and data contracts.
• Build/testing standards, golden query suites, and data-quality monitoring.
• Address concurrency, multi-tenant isolation, and governance at scale.

Skills

Java

C

C++

Python

Go

Education

Bachelor's degree in Computer Science or related discipline

Tools

Spark

Flink

Kafka

Iceberg/Hudi

ClickHouse

Presto/Trino

Job description

Responsibilities

Team Introduction

The Global Advertising Data Platform team builds the data foundation and products behind advertising across our international products — petabyte-scale ingestion and storage through to the query and data products thousands of internal users and systems depend on every day. The team is dedicated to making an AI-native data platform that enables agents to be reliable colleagues across all data-related scenarios. Semantic modeling, compile-time governance, agent-facing services and tools, evaluation infrastructure, all at global advertising scale. The work is measured by what it delivers: a better advertiser experience, efficiency lift, measurable business growth, or strategy that lands quickly with the platform's help.

• - Design and build the core of an AI-native data platform: Own architecture and hands-on development of high-throughput services serving hundreds of millions of users' advertising activity. You will take up versatile roles and deliver solutions end to end: Identify and define the problem, design technical solutions, build the system with agents, tune and optimize the outcome.
• - Design agent-facing data services and tool interfaces: Build the APIs and tool surfaces (MCP-style typed interfaces, retrieval over catalog and metadata, structured query execution) through which agents discover and use data — with scoped permissions, typed inputs, and full audit trails, so capability and safety ship together.
• - Contribute to the semantic layer that makes data agent-consumable: Turn tribal knowledge into machine-readable definitions: metrics, dimensions, lineage, valid join paths, and data contracts, etc. This is the core that decides whether an agent's data work is stable, reliable and verifiable.
• - Make correctness measurable: Contribute to code and testing standards and to the quality control methods the team runs on — extended to a world where both humans and models write code and generate queries. Build golden query suites, regression and evaluation harnesses, lineage-based impact analysis, and data quality monitoring that catch semantic drift before users do.
• - Conquer technical challenges: High concurrency, multi-tenant data isolation and governance enforced at query-generation time rather than patched afterwards, system decoupling, cost and performance at scale — these are the recurring challenges of the platform, and you'll work with the team to break through them.

Qualifications

Minimum Qualifications

• - Bachelor's degree in Computer Science or a related discipline.
• - Genuine interest in computer science and internet technology, with strong command of at least one programming language — including but not limited to Java, C, C++, Python, or Go.
• - Solid computer science fundamentals: data structures, algorithms, operating systems, databases and computer networks.
• - Strong analytical thinking — able to abstract and decompose messy business logic into clean system boundaries.
• - Comfortable using AI coding agents as part of how you build, together with the judgment to review, test, and take responsibility for what they produce.
• - Strong drive to learn, and the communication skills to work across engineering, product, and analytics.

Preferred Qualifications

• - Experience with big data or distributed systems technologies such as Spark, Flink, Kafka, Iceberg/Hudi, ClickHouse, Presto/Trino, or similar.
• - Hands-on experience building applications on large language models — RAG, agent frameworks, tool/function calling, natural-language-to-SQL, or model evaluations.
• - Familiarity with data warehousing and modeling practice: dimensional modeling, metric/semantic layers, dbt, data lineage, or data catalog and governance tooling.
• - Open-source contributions, research publications, competitive programming or data competition results, or substantial personal projects.
• - Prior internship or project experience in advertising technology, recommendation systems, or large-scale data analytics.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.