Job Details

ID #52715265
Estado Texas
Ciudad Houston
Full-time
Salario USD TBD TBD
Fuente Amazon
Showed 2024-10-16
Fecha 2024-10-17
Fecha tope 2024-12-15
Categoría Etcétera
Crear un currículum vítae
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Technical Instructor, AWS Cloud Institute

Texas, Houston, 77001 Houston USA
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DescriptionAs a Technical Trainer on the AWS Cloud Institute team, your primary focus will be leading engaging training sessions that educate and empower our learners. You will be responsible for delivering instructor-led courses covering the foundations of AWS cloud computing, cloud operations, Python development, and introductions to generative AI.You will facilitate interactive classes, answer questions, and provide personalized guidance to help learners master complex technical concepts. Building a sense of community among the student body will be just as important as imparting knowledge. You will collaborate with the curriculum team to review and refine training materials, to meet the evolving needs of our learners and ever-changing world of cloud technology and AI.Strong communication and presentation skills are essential, as you will be interacting with a diverse array of students from varying backgrounds. The ability to break down sophisticated cloud and programming topics into clear, easy-to-understand terms is critical. Prior experience teaching technical subject matter, whether in a classroom or web conferencing setting, is highly preferred.Most importantly, you should have a genuine passion for education and a desire to help our learners achieve their career goals. By building trust, providing encouragement, and creating an engaging learning environment, you will play a vital role in shaping the next generation of cloud professionals.If you relish the opportunity to work directly with students and contribute to their growth and development, this Technical Trainer role is a fantastic opportunity to educate the cloud builders of tomorrow.Key job responsibilities

Design and deliver highly engaging, instructor-led training sessions covering foundational AWS cloud concepts, cloud operations, Python development, and introductions to generative AI

Utilize best practices in learning theory to facilitate interactive class discussions, answer student questions, and provide personalized guidance

Provide continuous feedback on course materials to keep pace with the rapid evolution of cloud technologies and AI, incorporating student feedback to enhance the learning experience

Collaborate with the curriculum development team to review and refine training content, lesson plans, and hands-on labs

Foster a strong sense of community among learners by encouraging collaboration, providing encouragement, and creating an inclusive learning environment

Demonstrate exceptional communication and presentation skills, with the ability to break down complex technical topics into clear, easy-to-understand terms

Stay up-to-date on the latest AWS services, Python programming, and generative AI developments to maintain subject matter expertise

Assist with the creation of supporting training resources, such as instructional videos and other training materials

Provide exceptional student support, ensuring all learners receive the guidance they need to achieve their goals

About the teamAbout AWSDiverse ExperiencesAWS 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.Sales, Marketing and Global Services (SMGS)AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.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 BalanceWe 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 in the cloud.Basic Qualifications

5+ years of experience in a combination of the following areas: Architecture, IT system design, operations, programming, AI/ML, or advanced technical training (not application level training)

Associate level certification or 2+ years of experience with one of the major cloud providers -

Experience leading presentations, public speaking, or classroom training for related technology and products or services.

Technical Degree (i.e. Computer Science, Information Systems) or relevant work experience

Demonstrate a general understanding of various IT concepts (e.g. Compute, Storage, Networking, Database, Security)

Preferred Qualifications

Hands-on experience with AWS infrastructure services

Experience designing and developing instructor-led content with technical subject matter content.

Recent coding experience, ideally Python

Experience with Windows and Linux at the command line.

Demonstrated understanding of generative AI concepts

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $106,400/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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