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Software Dev Engineer II, Amazon Products

Job in Vancouver, BC, Canada
Listing for: Amazon Development Centre Canada ULC - K03
Full Time position
Listed on 2026-06-13
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer, Machine Learning/ ML Engineer, Cloud Engineer - Software
Job Description & How to Apply Below
Position: Software Dev Engineer II, Amazon Payment Products
Are you interested in being part of a fast-paced technology company driving innovative payments to consumers around the world? Amazon Payment Products team builds systems that support payment products across the globe and are growing at an unprecedented scale. The products include Amazon Co-Branded Credit Cards, Private Labeled Credit Cards (PLCC), Co-Branded Debit Cards, Shop with Points, and Buy Now Pay Later (BNPL) Credit Line.
The technology we build and operate varies widely, ranging from large scale distributed systems supporting high volume transactions with low latency to customer and mobile friendly web and mobile solutions. We're at the forefront of Amazon's AI transformation, building the Payment Model Context Protocol (PMCP) Framework—infrastructure that enables AI agents to securely access payment-specific context, with agentic workflows. We are an agile team, moving quickly in collaboration with our business to bring new features to millions of Amazon customers while having fun and filing new inventions along the way.

If you can think big and want to join a fast moving team breaking new ground at Amazon we would like to speak with you!
Our Mission  Our mission is to develop the most customer centric cobranded credit cards in the world. We innovate on behalf of our customers by partnering with business, financial partners and internal teams in Amazon. We engineer business solutions to help our customers get unrivaled value out of their cards on the Amazon websites.
As part of this mission, we're pioneering also AI-powered development workflows and building context infrastructure that democratizes AI agent access across payment teams. As a Software Development Engineer on the team you will take ownership over the software design, documentation, development, engineering approach, delivery and support of payment solutions built natively in AWS. You will lead a team of developers in delivering high quality software solutions to support variety of customer use cases and are scalable to handle Amazon volume.
You’ll work with AI tools for vibe coding—leveraging Quick Suite, Amazon Q CLI, Cline, and other AI agents to accelerate development cycles and enable conversational workflows. This role provides a huge opportunity for you to build a strong portfolio of patents for Amazon, particularly in the emerging space of agentic systems and context infrastructure. This is a critical program for Consumer Payments, with high leadership visibility, and opportunity for delivering significant business value.
Basic Qualifications   3+ years of non-internship professional software development experience
2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using C#, C++, Java, or Perl
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
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
Master's degree in Computer Science, Engineering, Mathematics, or a related field

Experience with payment systems and credit card space is a plus

Experience with Amazon Web Services is a plus; experience with AI/ML systems, LLM applications, or agent-based architectures; familiarity with Model Context Protocol (MCP), AI agent frameworks, or context infrastructure; interest in leveraging AI tools for software development and workflow automation; experience building developer tools, SDKs, or platform infrastructure that enables other teams
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.

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