Join AWS Partner Systems as a Senior Software Development Engineer driving the future of partner experience. You'll build secured, highly available, performant, and scalable systems that support the AWS partner ecosystem—helping tens of thousands of consulting and technology partners succeed across every industry, company size, and region.

This role uniquely combines technical leadership with driving AI transformation across the software development lifecycle. You'll work in collaborative teams shipping features through rapid iteration cycles while demonstrating advanced AI-assisted development practices and mentoring others on their journey toward AI-empowered delivery.

Description

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Partner Network (APN) is the vital ecosystem we have created with tens of thousands of consulting and technology partners to promote AWS in every industry, size of company, and region of the world.

The AWS Partner Systems team serves three stakeholder groups: partners who work with us to sell AWS, customers who use AWS, and internal users responsible for driving AWS sales and adoption via partners.

Your Domain: Partner Onboarding & Journey Automation

You'll own the complete end-to-end partner journey from registration to co-sell readiness. This means reimagining what world-class partner experience looks like—delivering intuitive, cohesive experiences covering registration, account management, enrolling in applications and programs, defining go-to-market strategy, and meeting AWS technical and training requirements. Partners establish connections with other partners until they're approved to collaborate directly with AWS sales teams on deals, list opportunities in Partner Central, and receive AWS seller support to close customer engagements.

Beyond co-sell readiness, the journey extends to AWS Marketplace enablement, ensuring partners become successful sellers across three channels: Co-sell (collaborative selling with AWS teams), Direct to Customer (Marketplace listings), and Re-sell (Channel partner distribution).

What Makes This Role Unique:

You'll operate at the intersection of technical excellence and AI transformation leadership. While building mission-critical partner systems processing millions of transactions, you'll simultaneously drive the team's evolution toward AI-empowered development practices. This isn't just about using AI tools—it's about fundamentally reimagining how we build software, from reactive development to proactive, AI-assisted delivery that achieves measurable productivity improvements.

Key job responsibilities
What Makes This Role Unique:

You'll operate at the intersection of technical excellence and AI transformation leadership. While building mission-critical partner systems, you'll simultaneously drive the team's evolution toward AI-empowered development practices. This isn't just about using AI tools—it's about fundamentally reimagining how we build software, from reactive development to proactive, AI-assisted delivery that achieves measurable productivity improvements.

Key Job Responsibilities
Technical Leadership & Delivery:

* Design and develop services supporting partner onboarding, migration, account management, and automated journey orchestration
* Lead projects by orchestrating teams of engineers to deliver features through rapid iteration cycles
* Own architecture decisions for partner-facing systems
* Drive technical design as living specifications that evolve with implementation, ensuring continuous stakeholder alignment
* Build secured, highly available, performant systems on native AWS services

AI Transformation Leadership:

* Demonstrate and evangelize advanced AI-assisted development practices where AI handles significant portions of the development lifecycle
* Drive adoption of spec-driven development, ensuring work starts with executable specifications validated by stakeholders before implementation
* Mentor team members on AI-assisted workflows, prompt engineering excellence, and progression toward higher levels of AI-empowered development
* Participate in continuous improvement rituals identifying constraints across the development lifecycle and resolving them quickly
Champion AI-first approaches for operational excellence work, using intelligent tools before manual intervention
* Shift focus from code generation to code verification, leveraging AI for quality validation and automated testing


A day in the life
You start your day reviewing your team's progress, identifying any constraints blocking delivery. A partner stakeholder interview validates your team's problem understanding for a new feature. You collaborate with product and UX on technical design, using AI to generate API specifications and prototype validation logic.

During development, you leverage advanced AI-assisted practices—prompting AI to handle module implementation while you focus on verification, security validation, and integration testing. You mentor a teammate on effective prompting techniques that unlock more sophisticated AI capabilities.

In team rituals, you review metrics showing improved deployment velocity and reduced operational burden, but identify one constraint around system complexity. The team aligns on resolution within the next sprint. You document what worked (and what didn't) for your latest feature, contributing to the team's shared knowledge base.

You end the day shipping a feature that reduced manual partner interventions significantly, celebrating the win with your team.



About the team
Your Domain: Partner Onboarding & Journey Automation

You'll own the complete end-to-end partner journey from registration to co-sell readiness. This means reimagining what world-class partner experience looks like—delivering intuitive, cohesive experiences covering registration, account management, enrolling in applications and programs, defining go-to-market strategy, and meeting AWS technical and training requirements. Partners establish connections with other partners until they're approved to collaborate directly with AWS sales teams on deals, list opportunities in Partner Central, and receive AWS seller support to close customer engagements.

Beyond co-sell readiness, the journey extends to AWS Marketplace enablement, ensuring partners become successful sellers across three channels: Co-sell (collaborative selling with AWS teams), Direct to Customer (Marketplace listings), and Re-sell (Channel partner distribution).

Basic Qualifications

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

Preferred Qualifications

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

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 - 150,700.00 - 251,700.00 CAD annually