Amazon Development Centre Canada ULC
Technology
SoftwareDevelopmentEngineer,SponsoredProductsandBrands
Neural analysis suggests this role is
optimal for Mid candidates.
“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.
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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