Software Engineer, SCOT-Fulfillment Optimization – Amazon – Vancouver, BC
Location: Vancouver, BC | Company: Amazon
Vancouver’s tech scene has a standout opportunity worth exploring. Amazon’s Supply Chain Optimization Technologies (SCOT) team is hiring a Software Engineer to help build the next generation of procurement and fulfillment optimization systems — software that powers inventory decisions for every country Amazon operates in. This is a role where your code genuinely moves the needle on billions of dollars’ worth of inventory across one of the world’s most sophisticated supply chains.
Day to day, you’ll be working alongside software engineers, research scientists, and product managers to tackle some of the most complex supply chain challenges in existence. From designing architecture to deploying solutions globally, this is hands-on engineering at massive scale — using the latest in cloud computing, GenAI automation, and network optimization science.
About the Role: Software Engineer, SCOT-Fulfillment Optimization
As a Software Development Engineer (SDE) within SCOT, you’ll own end-to-end development of package flow optimization software, data pipelines, and warehousing systems. You’ll be expected to dive deep into technical architectures, rapidly identify solutions to development challenges, and leverage cutting-edge technology to deliver measurable outcomes. Prior experience with scalable, stable systems is a must; familiarity with data mining, databases, or massively parallel systems is a bonus.
Amazon’s SCOT team thrives in a fast-paced, agile environment that rewards creative design and intelligent risk-taking. You’ll be expected to collaborate closely, contribute to code reviews, build processes, and testing standards, and ensure reliability at global scale. This is a role for engineers who take real ownership of their work and want to see its direct impact.
Benefits and Salary
The base salary range for this position in Vancouver, BC is $114,800 to $191,800 CAD annually. As a total compensation company, Amazon’s package may also include sign-on payments and Restricted Stock Units (RSUs). Amazon offers a comprehensive benefits package that includes health insurance (medical, dental, vision, prescription, basic life and AD&D), 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: Vancouver, BC
🆔 Requisition ID: 10469426
💰 Pay: $114,800 – $191,800 CAD annually
Responsibilities
In this role, you’ll be working at the intersection of software engineering, data science, and supply chain optimization. Your contributions will directly influence how Amazon manages inventory and fulfillment for customers worldwide, making each responsibility both technically challenging and operationally significant.
- Own end-to-end development of Amazon package flow optimization software, data pipelines, and warehousing systems
- Deep dive into data based on anecdotes or aggregate patterns to uncover insights and improvement opportunities
- Invent and implement anomaly detection systems and visualization tools that identify and explain deviations from planned values
- Implement GenAI-driven automation to detect new opportunities for improving aggregate metrics and communicate findings effectively
- Leverage network optimization science to improve the precision and accuracy of optimization software and make outcomes explainable
- Design and architect scalable, reliable systems applying strong design patterns
- Collaborate with research scientists and product managers to deploy solutions at global scale
Requirements / Skills
Amazon is looking for an engineer who is comfortable owning complex technical problems from start to finish. The ideal candidate brings solid hands-on software development experience, a strong grasp of system design and architecture, and the curiosity to work with emerging technologies like GenAI and advanced optimization tools.
- 3+ years of non-internship professional software development experience
- 2+ years of experience in design or architecture (design patterns, reliability, and scaling) of new and existing systems
- Proficiency in at least one programming language used in professional software development
- 3+ years of full software development life cycle experience, including coding standards, code reviews, source control, build processes, testing, and operations (preferred)
- Bachelor’s degree in Computer Science or equivalent (preferred)
- Experience with data mining, databases, or massively parallel systems is a strong asset
How to Apply
To apply, visit the official Amazon job posting using the link below. Make sure your resume is up to date and tailored to highlight your software engineering experience before submitting.
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Job Summary & Tips for Applying
Quick Summary & What to Highlight: This Software Engineer role at Amazon in Vancouver is perfect for candidates who excel in software system design, data pipeline development, and scalable distributed systems. On your resume, emphasize any experience with supply chain systems, optimization algorithms, or cloud computing platforms, attention to detail, and your ability to work in a fast-paced agile environment. If you’ve previously worked in e-commerce, logistics tech, or large-scale backend 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 supply chain optimization, distributed systems, and anomaly detection that appear in the posting. Quantify your achievements where possible (e.g., “reduced pipeline latency by 30%” or “designed systems handling 10M+ daily transactions”). Write a brief cover letter expressing your genuine interest in Amazon and why you’re excited about this opportunity in Vancouver. 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, recent supply chain innovations, and engineering culture beforehand. Prepare specific examples using the STAR method (Situation, Task, Action, Result) to demonstrate your technical problem-solving, system design, and cross-functional collaboration skills. Common questions may include scenarios about designing scalable architectures, handling ambiguous data problems, or balancing technical debt with delivery timelines. Dress appropriately for a technology environment, arrive 10–15 minutes early (or log in early for virtual interviews), and bring copies of your resume. Prepare thoughtful questions about the SCOT team’s roadmap, engineering practices, and growth opportunities. After the interview, send a thank-you email within 24 hours reiterating your interest in the position.
