Principal Engineer, AI Data Infrastructure

Tencent; Singapore; On-site; SGD 140,000 - 220,000; Full time

Job summary

Tencent Cloud's Big Data team is looking for a Principal Engineer to shape data infrastructure for the AI era. You will define architectures for AI-enabled data platforms, balancing performance, reliability, and cost across storage, compute, retrieval, and model serving.

Lead cross-team design reviews, mentor engineers, and drive initiatives from research to production, including open-source contributions and publishing results when applicable.

Qualifications

• Bachelor's degree or higher in Computer Science or related field.
• Excellent English; Mandarin proficiency required for collaboration with China HQ.
• Expert in at least one of C++, Python, Java, Go or Rust.
• Hands-on in storage, compute, database, data infra, or AI infra systems.
• Strong performance engineering skills with measurable improvements.
• Solid understanding of ML/LLMs/AI agents and production readiness.
• Track record leading architecture for large-scale core systems.
• Strong ownership and cross-team collaboration with clear problem solving.

Responsibilities

• Build distributed compute engines for AI workloads and optimize scheduling.
• Design storage architectures for large-scale, fast-changing data.
• Develop data & search capabilities including retrieval and ranking.
• Create self-managing systems with monitoring and automated remediation.
• Help design next-gen cloud data platform for AI-native workloads.
• Drive research to production from hypothesis to benchmarking.

Skills

C++

Python

Java

Go

Rust

Distributed systems

Performance optimization

System design

Education

Bachelor's degree or higher

Tools

Spark

Ray

Job description

Tencent Cloud's Big Data team is looking for a Principal Engineer to shape data infrastructure for the AI era. You will define architectures for AI-enabled data platforms, balancing performance, reliability, and cost across storage, compute, retrieval, and model serving.

Lead cross-team design reviews, mentor engineers, and drive initiatives from research to production, including open-source contributions and publishing results when applicable.