Software Engineer, Google Ads - Singapore

GOOGLE ASIA PACIFIC PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Google is seeking software engineers to work on next-generation advertising technology that serves billions of users. You will develop high-throughput backend systems, optimize campaigns, and ensure privacy-aware solutions at scale.

Join a team collaborating with Google Research and DeepMind to push state-of-the-art AI in ads and analytics, across distributed infrastructures and ML-enabled workflows.

Qualifications

• Bachelor’s degree in Computer Science or related field, or equivalent practical experience.
• 2 years of software development experience in one or more languages (C++, Java, Python or Go).
• 2 years of data structures and algorithms experience.
• 2 years of backend development experience.
• Experience with two or more of: web app development, Unix/Linux, mobile development, distributed/parallel systems, networking, large software systems, or security software development.

Responsibilities

• Dive deep into high-throughput advertising systems and codebases to drive impactful performance improvements across real-time serving stacks and offline data pipelines.
• Lead the full software development lifecycle from design to implementation, testing, and global deployment in production.
• Diagnose and resolve critical issues to ensure high reliability and data integrity.
• Develop and scale next-generation advertising solutions balancing performance with privacy standards.
• Leverage back-end technologies and infrastructure, including C++ and large-scale data tools for analysis and storage.

Tools

C++

Java

Python

Go

Flume

F1

GoogleSQL

Unix/Linux

Distributed systems

Security software development

Job description

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.
• Lead the full software development lifecycle from initial design and architectural planning to implementation, rigorous testing, and global deployment within production environments.
• 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 master a suite of back-end technologies and infrastructure, including C++ for low-latency systems and distributed data tools (e.g., Flume, F1, and GoogleSQL) for large-scale analysis and storage.

Minimum qualifications

• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages (e.g., C++, Java, Python or Go).
• 2 years of experience with data structures and algorithms.
• 2 years 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.