Amazon Dev Centre Canada ULC Hiring for Software Development Engineer, Supply Forecasting at Toronto, ON Full Time

• Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
• Bachelor’s degree in computer science related fields OR 1+ years equivalent experience in software development
• 2+ years of non-internship professional software development experience
• Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
• 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems

Job summary

Have you ever shopped for an out-of-stock item and wondered how Amazon predicts how long it will take to receive the item? Would you like to be part of the team that helps Amazon customers order the items they want, even when those items are currently out-of-stock? Are you excited at the prospect of building and operating the systems that make the largest possible selection of items available to Amazon customers all around the world, while generating billions of dollars in merchandise sales?

As a Software Development Engineer for Supply Forecasting, you will be a member of diverse, 2-pizza team that develops and maintains software systems that predict product availability, use machine learning to predict delivery times for out-of-stock products, and provide critical services for internal teams within Supply Chain Optimization Technologies (SCOT).

In your role, you will collaborate with other software engineers, engineering managers, data scientists, and program managers to design, build, deploy, and administer out-of-stock systems. You will be an integral part of our sprint planning processes, and will own important deliverables that will help drive our goals.

• Skill performing data deep-dives, writing and debugging complex SQL queries.
• Ability to write concise technical documentation for multiple audiences.
• Actively practicing professional software engineering best practices for the full software development life-cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Demonstrated ability in problem solving, analytical, and deep-dive abilities.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.