Software Developer III Full Stack – Google – Waterloo, ON

Waterloo, Ontario is home to one of Canada’s most exciting tech ecosystems — and Google is at the centre of it. This Software Developer III, Full Stack role sits within Google’s Ads Safety organization, where your work directly protects the integrity of one of the world’s most influential advertising platforms. If you’re energized by technically complex challenges and want to build systems that operate at massive scale, this is a role worth exploring.

This position puts you at the frontlines of fraud and abuse detection, working on infrastructure and ML systems that must evolve as fast as the bad actors trying to circumvent them. You’ll collaborate across multiple teams, contribute to real-time detection pipelines, and support the deployment of cutting-edge models — all while having genuine leadership opportunities in an environment that rewards versatility.

About the Role: Software Developer III, Full Stack

In this role, you’ll be responsible for developing and maintaining mission-critical fraud detection systems that scale alongside Google’s rapidly growing Ads business. The work demands low latency, high availability solutions that can process signals at extraordinary volume and speed. You’ll also help build the frameworks that allow data scientists and modellers to ship new models faster and more reliably.

Collaboration is central to this role. You’ll partner with teams working on fraud prevention, detection, and mitigation, and you’ll have a meaningful say in shaping holistic anti-abuse strategies. Google emphasizes leadership at all levels — expect to coordinate across teams and take ownership of decisions that affect the broader ecosystem.

Benefits and Salary

The salary range for this position in Canada is $150,000–$154,000 CAD, plus a 15% bonus target, additional performance bonuses, and equity. Google is also known for a comprehensive benefits package — to learn more about what’s included, visit Google’s benefits page directly.

Responsibilities

Day to day, this role blends infrastructure development with close collaboration with modelling and partner teams. You’ll work on systems where the stakes are high — fraud costs real money and causes real harm — so precision, reliability, and speed all matter equally. Here’s what you can expect to be doing:

• Build infrastructure and frameworks to accelerate signal acquisition, metrics collection, and model launch
• Support modellers in deploying new and innovative models, including models operating on various entity types, unsupervised models, and LLM applications
• Develop and maintain Google’s mission-critical fraud detection systems to scale with the rapid growth of the Ads business, with real-time, low-latency, and high-availability requirements
• Collaborate with partner teams to deliver holistic fraud solutions covering prevention, detection, and mitigation
• Manage project priorities, deadlines, and deliverables with technical expertise and leadership
• Lead and coordinate efforts across multiple teams to build comprehensive anti-abuse solutions

Requirements / Skills

Google is looking for a developer who brings both strong software fundamentals and genuine curiosity about hard problems. This role is particularly well-suited for someone with a background in ML systems or anti-abuse/anti-fraud work, though the minimum qualifications focus on programming experience and education. Here’s what the posting outlines:

• Bachelor’s degree or equivalent practical experience (required)
• 2 years of software development experience in one or more programming languages such as C++ or Python, or 1 year with an advanced degree (required)
• Master’s degree or PhD in Computer Science or a related technical field (preferred)
• 2 years of experience with data structures and algorithms (preferred)
• Experience building ML systems in anti-abuse or anti-fraud contexts (preferred)
• Experience with SQL (preferred)
• Strong English proficiency — a requirement across all Google roles globally

How to Apply

To apply, use the official Google Careers link below. Make sure your resume is current and highlights any relevant experience with fraud detection, ML systems, or large-scale software infrastructure.

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