Sr Prototyping Engineer, WWSO Prototyping
DESCRIPTION
Core to Amazon's DNA is its methodology around executing experiments and prototypes to find the quickest way to prove new ideas, technologies, and business models in a real-world environment. Experimentation fuels Amazon's innovation. If you are a highly creative hands-on problem solver who works to inspire, motivate, and define advanced solutions; are passionate about technology, understand cloud architectures & platforms, and are quick to pick up emerging technologies; are adept at working with customers to experiment with innovative approaches, and the validate the technical feasibility of solutions - this could be the role for you!
Key job responsibilities
As a key member of the AWS Prototyping team, ensure customer success through hands-on participation producing and demonstrating applications, software, and services on the AWS platform.
Educate AWS Prototyping customers on the AWS services and technologies, and participate in deep architectural design discussions to ensure Prototypes are crafted for successful deployment in the cloud.
Conduct one-to-few and one-to-many training sessions to transfer knowledge to Prototyping customers, and internal business partners considering an AWS Prototyping engagement.
Act as a Thought Leader for your area of domain expertise across AWS Prototyping, and share best-practice knowledge among the AWS solutions architect community.
Author or otherwise contribute to AWS customer-facing publications such as whitepapers, blogs, etc.
Act as a technical liaison between customers, service engineering teams, sales, professional services, and support.
About the team
Diverse Experiences
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.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We'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
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
BASIC QUALIFICATIONS
- Experience in design, implementation, or consulting in applications and infrastructures
- Experience in IT development or implementation/consulting in the software or Internet industries
- Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Software development and programming experience with at least one software programming language experience
PREFERRED QUALIFICATIONS
- Experience working with end user or developer communities
- Experience in infrastructure architecture, database architecture and networking
- Experience working with Machine Learning and GenAI tools and architectures, agentic workflows, model training and inference optimization techniques and Large Language Models
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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, protected veteran status, disability, age, 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.