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Amazon Solutions Architect AGS-Tech-Field-NAMER-Area Tech-US-SA-ENT 
United States, Massachusetts, Boston 
239798076

10.06.2024
DESCRIPTION

Key job responsibilities
As a part of the role, you will provide exceptional technical design guidance and thought leadership. You will lead efforts to capture and share best-practice knowledge with the AWS solution architect community. You will also gain the opportunity to learn from, collaborate with, and educate some of the brightest technical minds in the industry today across the breadth of enterprise architecture.About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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 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

BASIC QUALIFICATIONS

- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience


PREFERRED QUALIFICATIONS

- Experience migrating or transforming legacy customer solutions to the cloud
- Experience working with AWS technologies from a dev/ops perspective
- Broad technology experience including: cloud architecture, applications development, relational databases, NoSQL databases, analytics, machine learning, networking, security, storage, DevOps, containers (EKS, Fargate), serverless, CI/CD, management and monitoring, IoT (Internet-of-Things) cloud migrations, IT transformation.
- Experience architecting/designing solutions built on cloud ideal but not required (AWS, Azure, GCP).
- Experience with AI/ML and Generative AI solutions
- Experience migrating or transforming legacy solutions to the cloud.