Join our dynamic Reach Planning Engineering team within Measurement Ad Tech Data Science to build the next generation of advertising technology at Amazon. In this role, you'll own, design, and deliver highly scalable systems that empower advertisers to plan campaigns and build strategies related to reach and other media planning capabilities.

You'll work on our full-service, full-stack advertising platform, specifically developing APIs and AI Agents that deliver Amazon signals to improve planning for advertisers and enhance campaign impact. This position offers the opportunity to solve complex problems at scale while working across Amazon's advertising ecosystem to create solutions that drive meaningful business results for our advertising customers.

• Key job responsibilities
• Design and implement scalable, high-performance systems that power Amazon's advertising platform, ensuring robust functionality and optimal user experience
• Provide meaningful code reviews to team members and actively participate in the full software development lifecycle including scoping, design, implementation, testing, deployment, and maintenance
• Own operational excellence for your systems, proactively identifying root causes of issues and implementing permanent solutions that improve reliability and performance
• Work closely with stakeholders across Amazon to understand business needs and customer value, translating requirements into technical solutions that enhance advertiser campaign effectiveness
• Develop innovative APIs and AI-powered solutions that leverage Amazon's unique signals to optimize ad planning and delivery, contributing to the growth of Amazon's advertising business

A day in the life
As part of the Reach Planning Engineering team, you'll start your day collaborating with data scientists and product managers to define requirements for new API features that improve media planning. You'll write code, participate in design discussions, and review pull requests from teammates. Throughout the day, you'll analyze system performance, troubleshoot issues, and optimize algorithms that power our AI Agents. You'll also connect with internal and external partners to gather feedback on how our tools are performing and identify opportunities for enhancement.

Basic Qualifications

• 4+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design, or experience building complex software systems that have been successfully delivered to customers
• Bachelor's degree in computer science or equivalent, or 6+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experience
• Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

Preferred Qualifications

• 4+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.

CAN, ON, Toronto - 114,800.00 - 191,800.00 CAD annually