Amazon Development Centre Canada ULC

Technology

SoftwareDevelopmentEngineer,SponsoredProductsandBrands

CA$80–192k Toronto, Ontario, Canada FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Software Development Engineer, Sponsored Products and Brands at Amazon Development Centre Canada ULC. Skills: Software development, Distributed systems, Machine learning. Design, develop, test, deploy, maintain, and improve software. Manage individual project priorities, deadlines, and deliverables”

Industry & Context.

Technology
Problems you'll solve

Root cause analysis; Troubleshooting

What They're Looking For.

Must Have

Bachelor's degree or equivalent practical experience, 4+ years of experience in software development, Experience with distributed systems, Experience with data structures and algorithms

Nice to Have

Master's degree or PhD, Experience with machine learning, Experience with large-scale distributed systems

What You'll Do.

Manage individual project priorities

Write high-quality code

Develop scalable and reliable systems

Collaborate with other engineers

Mentor junior engineers

How You'll Work.

Team & Collaboration

Cross-functional teams; Agile development

Communication Scope

Technical documentation

Process & Methodology

Agile, Scrum

Full Job Description

Amazon's Sponsored Products and Brands is building the next generation of AI-powered advertiser controls that help millions of advertisers optimize their campaigns. We're looking for a Software Development Engineer II to join our Advertiser Controls team, where you'll design and build the bidding controls and recommendations that directly impact how advertisers create, optimize, and grow their business on Amazon. In this role, you'll own the development of three critical platform capabilities. First, you will build the AI engineering infrastructure that enables our bidding systems—developing systems for model fine-tuning, reinforcement learning, model inferencing and preference optimization, while creating evaluation frameworks that ensure safety, reliability, and trust at scale. Second, you will interface agentic architectures that allow AI systems to work together seamlessly, including agent-to-agent communication protocols for discovery, negotiation, and task handoff, lifecycle management for agent sessions, and state management frameworks that persist context across multi-step workflows. Third, you will design and build experimentation systems that support multiple concurrent online experiments, accelerating our team's ability to test new bidding strategies and learn from real advertiser behavior. As an SDE2, you'll work as an autonomous contributor. You will work backwards from advertiser needs—collaborating with product managers, scientists, and other engineers to understand business problems, then translating those into technical solutions. While you'll make independent decisions on implementation, you'll seek guidance from senior engineers and principals when facing complex architectural tradeoffs or ambiguous technical challenges where the business problem is clear but the path forward requires exploration. The work you do will have direct, visible impact. This infrastructure will power the AI systems that help a small business owner optimize their first ca

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