Share
Key job responsibilities
- Push the technical bar, take the initiative to learn and experiment with emerging technologies in areas of Generative AI, Machine Learning, Blockchain, AR/VR, IoT, etc. in an enterprise context.Diverse Experiences
Amazon 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
Work/Life BalanceMentorship and 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.
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Deep knowledge of software development tools, agile methodologies, active, hands-on coding, and application design experience. Proficiency developing in one or more modern programming language; Full-Stack development skills: Java, Python, Javascript, GoLang, React, AngularJS, CSS, etc.). Ensure technical output, such as code and other artifacts, are packaged in an easily consumable and repeatable way for customers and internal teams including marketing, solutions architecture, and support.
- Must be able to drive discovery discussions, clearly scope out problems, whiteboard technical architectures and quickly go hands-on keyboard implementing them.
- Knowledge of AWS services, market segments, customer base and industry verticals
- 6+ years as a technical leader. Ability to lead in-depth architectural discussions with the customer, partners, and other AWS teams.
- Experience working with Machine Learning and GenAI tools, including coding assistants
These jobs might be a good fit