Software Developer III, Ads Infrastructure

This position is for an existing position.

Google utilizes AI tools to assist in assessing candidates in our hiring processes.

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
• 2 years of experience with software development in one or more programming languages.
• Experience in Python and C++.
• Experience in high-performance computing (HPC) concepts, development, or technologies.

Preferred qualifications:

• 2 years of experience with data structures and algorithms.
• Experience with large-scale data processing pipelines (e.g., Flume, MapReduce, SQL-like data processing engines).
• Experience developing accessible technologies.
• Familiarity with the concepts of online controlled experiments (A/B testing).

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 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Canada: $150000 - $153000 (CAD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

• Build and scale developer-facing interfaces, tooling, and automated workflows that simplify the end-to-end experiment lifecycle from experiment creation and configuration, to progressive traffic ramp-ups and real-time metric monitoring, through final launch and cleanup.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).