Description

　　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.

　　The Analytics role supports our services that focus on Analytic technologies, including Kinesis, OpenSearch, Redshift, QuickSight, Neptune and Managed Streaming for Kafka. These technologies allow our customers to analyze data from a wide variety of applications such as digital marketing, intelligent heuristics, fraud detection, ad tech, games, and IoT. Having the ability to process and analyze data in real-time is essential in the modern world.

　　Key job responsibilities

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

　　You will be primarily responsible for solving customer’s cases through a variety of contact channels (telephone, email, and web/live chat), applying advanced troubleshooting techniques to provide tailored solutions and working with them to dive deep into the root cause of an issue.

　　You will drive initiatives that improve support-related processes and our customers’ experience. These can include tutorials, how-to 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

　　AWS Support Engineering is a customer-facing global organization that provides technical support to our customers as well as our internal teams. As a member our team, you will be at the forefront of this transformational technology, operating on a follow-the-sun model. You will be assisting a global list of companies and developers that are taking advantage of a growing set of services and features to run their mission-critical applications.

　　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.

　　We are open to hiring candidates to work out of one of the following locations:

　　Mexico City, DIF, MEX

　　Basic Qualifications

　　Minimum of 1+ years of related professional experience.

　　Knowledge or experience with system administration, and troubleshooting any operating system (Linux and/or Windows) and networking (HTTP/s, TCP/IP, DNS, OSI model, routing, switching, firewalls, LAN/WAN, traceroute, iperf, dig, CURL or related).

　　Knowledge or experience with troubleshooting database concepts, database administration (RDBMS, NoSQL, DocumentDB) and data warehousing (high availability, DR, backup, performance tuning, distributed systems).

　　Knowledge or experience troubleshooting Business Intelligence (BI) issues, and with Extract, Transform, and Load (ETL) (ETL data load ingestion, Transformation, Migration techniques, BI tools and specific features, Performance and latency).

　　Ability to communicate effectively in English (written and spoken) within technical and business settings.

　　Preferred Qualifications

　　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.