Top Tech Jobs & Startup Jobs in Singapore

The role involves developing infrastructure software, backend systems, and DevOps tooling for large-scale applications, requiring expertise in distributed systems, databases, or AI infrastructure.

The Software Engineer will develop infrastructure software and internal platforms, focusing on backend systems, automation frameworks, and deployment efficiency for WeChat services.

The Data Science Intern analyzes large datasets, uses machine learning and analytics to solve gaming challenges, and collaborates with teams to drive business strategies.

Develop and optimize compliance standards, manage reviews, monitor industry trends, lead planning, and enhance team capabilities in compliance practices.

Conduct research and develop overseas advertising recommendation algorithms. Optimize ranking (pCTR/pCVR/pLTV), recall, bidding strategies, and industry-specific models using ML techniques and big-data tools to improve core business metrics.

Perform research on data-centric methods to improve coding LLMs: data filtering, quality assessment, deduplication, synthetic data generation, and evaluation. Build pipelines for code generation, editing, repo-level reasoning, tool use, and multi-step coding tasks. Run experiments on large-scale code corpora and agentic coding trajectories to analyze how data, models, and training strategies affect coding capabilities.

Assist in developing backend services and APIs for WeChat, build large-scale data pipelines, and contribute to data streaming infrastructure while collaborating with teams.

Lead design, configuration, testing, and support of enterprise finance and planning systems (preferably Workday Financials). Partner with finance stakeholders to gather requirements, deliver scalable solutions, manage integrations, enable users, and support post-go-live operations across global teams.

Assist in developing cloud-native advertising data services on AWS, working on data engineering pipelines, system reliability, feature implementation, and data compliance.

The Data Engineer designs and maintains data architectures and pipelines, processes datasets, optimizes ETL processes, and collaborates with teams to support data-driven decisions.