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Salary
≈ $34k – $68k per year (Estimated)
Location
In office (Singapore)
Seniority
Junior · 1+ year exp

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Sep 11, 2026. Google scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

About the job

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.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

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.

Qualifications

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.
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