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Staff Software Engineer, Acceleration Platform - Singapore

8-10 Years
SGD 14,000 - 28,000 per month
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Job Description

Product area

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.

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.

Additional job description

As the Staff-level Technical Lead for the newly established Acceleration Platform (AP) node in Singapore, you will define the technical strategy and architectural road map for 2 key projects. Your mission is to navigate high-ambiguity spaces-from automating Gemini model introspection to expanding AI-driven bug remediation-transforming the engineering challenges into AI-native platforms.

You will partner closely with the Engineering Manager to build the Singapore node from the ground up. While you may provide coaching for a small group of engineers, your primary accountability is the technical excellence and strategic impact of the team's output. You will act as the bridge between our local partners (from Privacy, Safety and Security teams) and the global Acceleration Platform organization, ensuring our solutions are secure-by-default and policy-aware.

Qualifications

Job responsibilities

  • Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
  • Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.
  • Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
  • Set the bar for code quality, system design, and reliability within the team. Mentor other engineers to help them reach full velocity and technical autonomy.
  • Contribute to the broader Google Software Engineer (SWE) community, sharing insights on AI-powered productivity and automated remediation.

Minimum qualifications

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience programming in Python or C++.
  • 5 years of experience building and maintaining large-scale infrastructure, developer tools, or automated testing or verification frameworks.
  • 3 years of experience with software design and architecture.

Preferred qualifications

  • Master's degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures and algorithms.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • Experience using Large Language Models (LLMs) or Agentic workflows to improve developer productivity or automate code changes.
  • Familiarity with Supply Chain Security (SSCI), machine learning system operations, or large-scale code migration tools.

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Job ID: 144174911

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