Software Engineer, Google Ads Team - Singapore

Roles & Responsibilities

Product area

Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.

Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Qualifications

Job responsibilities

• Dive deep into complex, high-throughput advertising systems and intricate codebases to drive impactful performance improvements across both real-time serving stacks and offline data pipelines.
• Contribute to the design of new features and system enhancements, taking complete ownership of their implementation, testing, and deployment to Google's production systems.
• Diagnose and resolve critical technical issues and system bottlenecks, identifying root causes to ensure high reliability, data integrity, and a seamless experience for end-users and partners.
• Develop and scale next-generation advertising solutions that balance performance-driven results with modern privacy standards, directly contributing to increased Return on Investment (ROI) and platform growth.
• Leverage and gain deep expertise in a varied suite of back-end technologies and infrastructure, including C++ for low-latency systems and distributed data tools (such as Flume, F1, and GoogleSQL) for large-scale analysis and storage.

Minimum qualifications

• Bachelor’s degree in Computer Science, a similar technical field of study, or equivalent practical experience.
• 1 year of experience with software development in one or more programming languages (e.g., C++, Java, Python or Go).
• 1 year of experience with data structures and algorithms.
• 1 year of experience with back-end development.
• Experience working with two or more from the following: web application development, Unix/Linux environments, mobile application development, distributed and parallel systems, networking, developing large software systems, or security software development.

Preferred qualifications

• Experience with full stack development, across back-end such as Java, Python, Go, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
• Experience in Machine Learning (ML) model coding languages (e.g., Python).
• Experience developing accessible technologies.

Tell employers what skills you have

CSS
Google Cloud Platform
Go
Advertising Platform
Root Cause Analysis
JavaScript
Combinatorics
Advertising Strategy
Large-scale Data Analysis
technical studies
Flume
Data Integrity
Remote Access Technology
Scripting Languages
Java
Unified Modeling Language