Software Development Engineer – Amazon – Toronto, ON
Location: Toronto, ON | Company: Amazon
If you’re passionate about Agentic AI, large language models, and building communication experiences that reach millions of people, Amazon’s Alexa Connections team in Toronto, Ontario is hiring a Software Development Engineer. This is a chance to work at the cutting edge of AI-powered voice technology, contributing to a product that’s actively reshaping how people interact with the world around them.
In this role, you’ll be deeply involved in developing next-generation communication features powered by Generative AI, Agentic AI, and Real-time AI. You’ll collaborate across product management, design, and data science teams to integrate advanced AI systems into Alexa’s core capabilities, always keeping the user experience seamless and intuitive.
About the Role: Software Development Engineer, Alexa Connections
The Alexa Connections team is on a mission to make Alexa+ the world’s most trusted connection assistant — one that helps customers get things done and creates genuine moments of joy. As a Software Development Engineer, you’ll influence the product and technology strategy, drive design and development standards, and build agentic APIs for low-latency, highly reliable, and scalable cloud services and device software. Your work will directly shape what the next generation of intelligent conversational AI looks like.
You’ll thrive in an Agile/Scrum environment, delivering high-quality software while actively contributing to the professional development of your colleagues. Whether you’re optimizing software libraries for CPU and memory efficiency, leading code reviews, or refining system architecture, every contribution here has real-world impact at global scale.
Benefits and Salary
Amazon offers a competitive base salary ranging from $114,800 to $191,800 CAD annually for this Toronto-based position, with total compensation that may also include sign-on payments and restricted stock units (RSUs). Final compensation is determined based on experience, qualifications, and location. The comprehensive benefits package includes health insurance (medical, dental, vision, prescription, basic life and AD&D insurance), a Registered Retirement Savings Plan (RRSP), a Deferred Profit Sharing Plan (DPSP), paid time off, and additional resources to support health and well-being.
Job Details
📌 Job Type: Full-Time
🏢 Company: Amazon Development Centre Canada ULC
📍 Location: Toronto, ON
🆔 Requisition ID: 10489389
💰 Pay: $114,800 – $191,800 CAD annually
Responsibilities
Day to day, you’ll be building and refining the AI-driven systems that power Alexa’s communication capabilities. These responsibilities span technical leadership, hands-on engineering, and cross-functional collaboration — all in service of delivering reliable, intelligent experiences for customers worldwide.
- Influence strategy by helping define product features, refine system architecture, and establish Agentic AI and LLM best practices
- Build agentic APIs that deliver low-latency, low-cost, highly reliable, and highly scalable cloud services and device software solutions
- Drive software design and development standards, including leading code reviews and defining team processes
- Optimize software libraries for low latency, reduced CPU usage, and minimal memory footprint
- Deliver high-quality software in a dynamic, team-focused Agile/Scrum environment
- Mentor colleagues and contribute to their professional development by improving technical knowledge and engineering practices
- Integrate advanced AI systems — including Generative, Agentic, and Real-time AI — into Alexa’s core capabilities
Requirements / Skills
Amazon is looking for a driven software engineer with a solid foundation in system design and hands-on development experience. The ideal candidate brings both technical depth and a collaborative mindset, with a genuine interest in pushing the boundaries of what conversational AI can do.
- 3+ years of professional software development experience (non-internship) in a production environment
- 2+ years of experience in design or architecture of new and existing systems, including design patterns, reliability, and scaling
- Proficiency in at least one programming language used in a professional software development context
- Full software development life cycle experience (preferred), including coding standards, code reviews, source control, build processes, testing, and operations
- Bachelor’s degree in Computer Science or equivalent (preferred)
- Comfort working in a fast-paced, cross-functional environment with product, design, and data science teams
How to Apply
To apply, visit the official job posting using the link below. Make sure your resume is up to date and tailored to highlight your experience with software development, system architecture, and AI technologies before submitting.
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Job Summary & Tips for Applying
Quick Summary & What to Highlight: This Software Development Engineer role at Amazon in Toronto is perfect for candidates who excel in system design and architecture, AI and machine learning technologies, and scalable cloud service development. On your resume, emphasize any experience with Generative AI, LLMs, or Agentic AI frameworks, attention to software quality and reliability, and your ability to deliver in a fast-paced Agile environment. If you’ve previously worked on voice assistants, conversational AI, or real-time communication systems, make sure to highlight specific achievements and responsibilities that align with this position.
Resume & Application Tips: Before applying, tailor your resume to match the job description. Include keywords like Agentic AI, low-latency APIs, and software development life cycle that appear in the posting. Quantify your achievements where possible (e.g., “reduced API latency by 40%” or “led architecture redesign serving 10M+ users”). Write a brief cover letter expressing your genuine interest in Amazon’s Alexa Connections team and why you’re excited about this opportunity in Toronto. Double-check your application for spelling errors and ensure your contact information is current.
Interview Preparation: If selected for an interview, research Amazon‘s Leadership Principles, the Alexa product roadmap, and recent developments in conversational AI beforehand. Prepare specific examples using the STAR method (Situation, Task, Action, Result) to demonstrate your software design, system architecture, and cross-functional collaboration skills. Common questions may include scenarios about handling technical trade-offs, mentoring junior engineers, and delivering under tight deadlines. Dress appropriately for a tech industry environment, arrive or join the call 10–15 minutes early, and bring or have copies of your resume ready. Prepare thoughtful questions about the Alexa Connections team’s roadmap, engineering culture, and growth opportunities. After the interview, send a thank-you email within 24 hours reiterating your interest in the position.
