Software Development Engineer (MADS) – Amazon – Toronto, ON

Amazon’s advertising division is growing fast, and the Reach Planning Engineering team within Measurement, Ad Tech, and Data Science (MADS) is hiring a Software Development Engineer in Toronto, Ontario. If you’re passionate about building scalable systems that power next-generation advertising technology, this role puts you at the centre of some of the most technically interesting work in the industry.

You’ll be working on a full-stack advertising platform, designing and developing APIs and AI Agents that harness Amazon’s unique signals to help advertisers plan more effective campaigns. The problems are complex, the scale is massive, and your solutions will directly influence advertising outcomes for businesses around the world.

About the Role: Software Development Engineer, MADS

As part of the Reach Planning Engineering team, you’ll own and deliver highly scalable, high-performance systems that support campaign planning and media strategy for Amazon’s advertising customers. Your day will involve collaborating with data scientists and product managers, writing production code, conducting design discussions, and reviewing pull requests. You’ll also analyse system performance, troubleshoot issues, and optimize algorithms that drive the team’s AI-powered planning agents.

This is a full software development lifecycle role — from scoping and architecture through to deployment and operational excellence. You’ll partner with internal and external stakeholders to gather feedback, identify enhancements, and ensure your systems are reliable, performant, and continuously improving.

Benefits and Salary

The base salary range for this position in Toronto, ON is $114,800 to $191,800 CAD annually. Amazon’s total compensation package may also include sign-on payments and Restricted Stock Units (RSUs), with final compensation determined by experience, qualifications, and location. The company offers a comprehensive benefits package that includes health insurance (medical, dental, vision, prescription, basic life and AD&D), a Registered Retirement Savings Plan (RRSP), a Deferred Profit Sharing Plan (DPSP), paid time off, and additional resources to support health and well-being.

Responsibilities

This role spans the full engineering lifecycle — from architecture and design through to deployment and ongoing operational ownership. You’ll collaborate across multiple teams, contribute meaningfully to code quality, and build systems that operate reliably at Amazon’s scale.

• Design and implement scalable, high-performance systems that power Amazon’s advertising platform with robust functionality and optimal user experience
• Conduct code reviews and actively participate in all phases of the software development lifecycle, including scoping, design, implementation, testing, deployment, and maintenance
• Own operational excellence for your systems, proactively identifying root causes of issues and delivering permanent solutions that improve reliability and performance
• Collaborate with stakeholders across Amazon to understand business requirements and translate them into technical solutions that enhance advertiser campaign effectiveness
• Develop APIs and AI-powered solutions that leverage Amazon’s unique signals to optimize ad planning and delivery
• Analyse system performance, troubleshoot issues, and optimize algorithms that drive AI Agents used in media planning
• Engage with internal and external partners to gather feedback on tooling performance and identify opportunities for continuous improvement

Requirements / Skills

The ideal candidate brings solid professional software engineering experience, a strong foundation in system design and architecture, and a genuine interest in building products at scale. Amazon values engineers who take ownership and think about long-term reliability, not just short-term delivery.

• 4+ years of professional software development experience (non-internship) in a production environment
• 2+ years of design or architecture experience, including design patterns, reliability, and scaling of new and existing systems
• Proficiency in at least one modern language such as Java, C++, or C#, with object-oriented design skills
• Bachelor’s degree in computer science or equivalent, or 6+ years of programming experience in a modern language
• Knowledge of software engineering best practices across the full SDLC: coding standards, architecture, code reviews, source control, CI/CD, testing, and operational excellence
• Preferred: 4+ years of full SDLC experience including build processes, operations, and testing
• Preferred: Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

How to Apply

To apply, visit the official Amazon job posting using the link below. Make sure your resume is up to date before submitting your application.

Share This Opportunity

Know someone who might be interested? Share this job posting and help them join Amazon in Toronto.