Empleos actuales relacionados con Cloud Support Engineer I - Tláhuac, Ciudad de México - Amazon Web Services Mexico S. de R.L. de C.V. - C68

1+ year of experience with troubleshooting database concepts. database administration, data warehousing, Business Intelligence (BI) issues and/or Extract, Transform and Load (ETL).

• Knowledge or experience with system administration, and troubleshooting any operating system (Linux and/or Windows) and networking.
• Ability to communicate effectively in English (written and spoken) within technical and business settings.

As a Cloud Support Engineer you will learn at an accelerated pace how to use and leverage many different cloud technologies to help our customers succeed.

You will act as the Cloud Ambassador across AWS products, providing our customers with required tools and tactics to scale their impact in world-wide markets.

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small

Key job responsibilities
Your day as a Cloud Support Engineer will include, but not be limited to, the following activities.

• You will drive initiatives that improve supportrelated processes and our customers' experience. These can include tutorials, howto videos, technical articles, trainings, among others.
• You will leverage your customer support experience to provide feedback to internal AWS teams on how to improve our services, and work on critical, highly complex customer problems that may span multiple AWS services.
• You will be continuously learning groundbreaking technologies, and developing new technical skills and other professional competencies.
• You will act as interviewer in hiring processes, and coach/mentor new team members.

This role requires the flexibility to work 5 days a week (occasionally on weekends) on a rotational basis. Schedules may align to Sunday - Thursday, Tuesday - Saturday or Monday - Friday.

About the team

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
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have more than thirteen employee-led affinity groups, reaching over 90,000 employees across hundreds of chapters globally.

We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.

Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance
Our team puts a high value on work-life balance.

It isn't about how many hours you spend at home or at work, it's about the flow you establish that brings energy to both parts of your life.

We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment.

We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members.

We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship.

Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews.

We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded Amazonian and enable them to take on more complex tasks in the future.

Mexico City, DIF, MEX

• Bachelor's degree in Engineering/Computer Science/ Mathematics or related field.
• Knowledge or experience with distributed search, conceptual search understanding, text parsing analysis, tokenization, databases vs search services, data skew, fault tolerance etc.
• Knowledge or experience with data streaming concepts such as producer, consumer, broker, controller/leader zookeeper, distributed architecture topics, replicas, partitions.
• Understanding of cloud computing concepts and/or experience with any cloud platforms (AWS, Azure, Google Cloud).
• Experience scripting or developing in one or more of the following languages: UNIX Shell, Python, R, Ruby, GO, Java,.NET (C#), JavaScript.

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