Software Engineer Graduate (Global Advertising Data Platform) - 2027 Start

About the role

The Global Advertising Data Platform team builds the data foundation and products behind advertising across TikTok's international products, from petabyte-scale ingestion and storage to the query and data products used daily by thousands of internal users and systems. It is looking for graduates to join the team, starting in 2027, to help build an AI-native data platform. Candidates must be able to commit to an onboarding date by the end of the year and should state their availability and graduation date in their resume.

Key responsibilities

• Design and build the core of an AI-native data platform, owning the 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, including APIs and tool surfaces (MCP-style typed interfaces, retrieval over catalog and metadata, structured query execution) with scoped permissions, typed inputs and audit trails
• Contribute to the semantic layer that turns tribal knowledge into machine-readable definitions such as metrics, dimensions, lineage, join paths and data contracts
• Help set code and testing standards, build golden query suites, regression and evaluation harnesses, lineage-based impact analysis and data quality monitoring
• Work on technical challenges such as high concurrency, multi-tenant data isolation and governance enforced at query-generation time, system decoupling, and cost and performance at scale

Required profile

• Completing or recently completed a Bachelor's degree in Computer Science or a related discipline
• Genuine interest in computer science and internet technology
• Solid computer science fundamentals: data structures, algorithms, operating systems, databases and computer networks
• Strong analytical thinking and ability to decompose business logic into clean system boundaries
• Comfortable using AI coding agents and reviewing, testing and taking responsibility for their output
• Strong drive to learn and communication skills to work across engineering, product and analytics

Required skills

• Strong command of at least one programming language, including but not limited to Java, C, C++, Python or Go
• Preferred: experience with big data or distributed systems technologies such as Spark, Flink, Kafka, Iceberg/Hudi, ClickHouse, Presto/Trino
• Preferred: hands-on experience with LLM applications such as RAG, agent frameworks, tool/function calling, natural-language-to-SQL or model evaluations
• Preferred: familiarity with dimensional modeling, metric/semantic layers, dbt, data lineage and data catalog/governance tooling
• Preferred: open-source contributions, publications, competitive programming results or prior experience in advertising technology, recommendation systems or large-scale data analytics