Applied Scientist Iii Worldwide Stores Accessibility jobs at Amazon in Canada, Vancouver

Elevate Logistics Technology and Transform Global Supply Chain EfficiencyKey job responsibilities- Drive strategic technical decisions and ensure seamless system integrations across complex logistics platforms
- Develop and implement engineering best practices that promote code quality, scalability, and innovation
- Proactively identify and mitigate technical and organizational risks to maintain project momentumA day in the life1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. RRSP

- 3+ years of engineering team management experience
- 7+ years of engineering experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams

- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

A day in the life
As a Sr. SDE I, you will work with your team to invent, design, and build software that is used by millions of people. You will have a direct impact on our customers and the business. You will be responsible for:Designing, implementing, testing, and deploying scalable, low-latency services and features for our deals and promotions platform.
Working closely with product managers, UX designers, and other engineers to translate customer and business requirements into robust technical solutions.Build and operate the core services that allow AI agents to access critical data like pricing and inventory to construct valid and compelling promotions.

- 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

- 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

As an Sr. Applied Scientist, you'll work alongside domain experts, engineers, and other scientists to understand business problems, propose scientific solutions, and deploy them to production. You'll work on scientific initiatives for accelerating reconciliation, standardization, and onboarding. This includes:
- Leveraging GenAI/LLMs to build agentic solutions to accelerate accounting-related research/tasks and produce proactive insights.
- Building AI trust and safety in the financial domain.
- Establishing scalable, efficient, automated processes for large-scale data analysis, machine learning model development, model validation, and serving.
- Developing training/evaluation datasets for model fine-tuning.
You will need to have a start-up like mindset, as you will be working an in a highly iterative and collaborative environment with SDEs, Product Managers, and Accounting stakeholders to propose ideas, experiment, and scale rapidly. You should have a keen eye for what a good user experience should look like, possess excellent written and verbal communication, and have a keen interest in learning about accounting and financial processes.

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.

A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.

- Are enrolled in a PhD
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming or scripting language like Python, Java, C or C++

- Have publications at top-tier peer-reviewed conferences or journals
- Are enrolled in a academic program that is physically located in Canada

Work hard. Have fun. Make history.Key job responsibilities
Working backwards from the customer translation complex functional and technical requirements into detailed architecture and design.
Deliver systems and features on schedule with high qualityMentor of junior engineers
A day in the life* Design and develop state-of-the-art approaches to solving complex and ambiguous big data problems
* Cultivate engineering and operational excellence through metrics and continuous learning
* Provide thought leadership and establish technical vision for the team
* Mentor and grow high performing SDEs to take on increasingly higher responsibilities
* Think big and work with Senior leadership, business stakeholders and engineering teams to define vision, strategy and requirements.
* Own all metrics around initiative goals you will define. We make decisions based on data.
* Manage the agile development process and methodology to deliver tech requirements on time and with a high-degree of precision.

- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams

- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

Key job responsibilities- Apply technical expertise in observability practices, including:
- - Distributed tracing implementation
- - Metrics collection and analysis
- - Log aggregation and analysis
- - Alert management and incident response
- - Application performance monitoring
- - SLO/SLI definition and monitoring
- Provide feedback to AWS service teams on customer needs and technical requirements
- Document and share observability implementation patterns and best practices
Required Technical Knowledge:
Deep expertise with observability platforms and tools such as:
- AWS native services (CloudWatch, CloudTrail, etc.)
- Open-source solutions (Prometheus, Grafana, OpenTelemetry)- Understanding of modern application architectures (microservices, containers, serverless)
- Experience with DevOps practices and tools
- Knowledge of SRE principles and practices
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 5+ years of leading large-scale, technical or engineering programs with a proven record of thought leadership, business case development, realizing customer benefits, and successful program completion experience
- 2+ years of customer-facing work, engaging with customer executives, technologists or partners to solve business problems with advanced technologies experience
- Bachelor's degree in science, technology, engineering, math, business or equivalent

- PMP certification, or SCRUM/Agile, SAFe certification
- Experience implementing cloud services including migrations and modernization projects or similar

A day in the life
As a Sr. SDE I, you will work with your team to invent, design, and build software that is used by millions of people. You will have a direct impact on our customers and the business. You will be responsible for:Designing, implementing, testing, and deploying scalable, low-latency services and features for our deals and promotions platform.
Working closely with product managers, UX designers, and other engineers to translate customer and business requirements into robust technical solutions.Build and operate the core services that allow AI agents to access critical data like pricing and inventory to construct valid and compelling promotions.

- 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

- 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