Our team builds and operates critical infrastructure services that power Amazon's retail platform, ensuring optimal performance and reliability for millions of customer interactions every day. Are you interested in working at the largest possible scale? Are you interested in making an impact across all of Amazon's retail traffic? Are you interested in contributing to how the company delivers exceptional customer experiences? Then come be a part of that revolution!
On our team, you will have the opportunity to work on most advanced machine learning systems and distributed infrastructure that operates at unprecedented scale. Our services are core to Amazon's retail architecture, processing and analyzing massive volumes of traffic in real-time to maintain service quality and protect the customer experience.
You will use your technical prowess to deliver on challenging problems with simple, maintainable and extensible solutions. You will take risks and experiment, define and deliver solutions, build on success from the past and learn from failures. You will work alongside a team that collaborates and takes on shared goals to deliver solutions that are larger than each individual. You learn from others, and in turn make others around you better. You will have the opportunity to impact the technical choices we make at Amazon and how Amazon developers develop. This is a place where you can apply and further your strong technical skills while delivering impactful business results. Amazon is a place where builders build, and we enable Amazon builders. It’s still Day One. Help us build the future.
Key job responsibilities
- Collaborate within a team and across other teams to launch best in class solutions.
- Improve operational excellence by driving performance and monitoring features.
- Troubleshoot problems, and in turn recommend and implement industry-leading solutions.
- Learn and be curious, and in turn teach, mentor and grow other engineers.
Basic Qualifications
- 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
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
Preferred Qualifications
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Knowledge of machine learning model architecture and inference
- 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, BC, Vancouver - 150,700.00 - 251,700.00 CAD annually