Cloud Support Engineer Ii
hace 2 semanas
Minimum of 3+ years of related professional experience and bachelor’s degree in Engineering/Computer Science/ Mathematics or any related field or equivalent military experience.
- 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).
- Experience with Hadoop ecosystems (Apache Spark, Apache Hive).
- Experience in data lake architecture and administration.
- Ability to communicate effectively in English (written and spoken) within technical and business settings.
As a Cloud Support Engineer II 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 Big Data role supports our services that leverage data and produce business insights, which may include using machine learning/artificial intelligence (ML/AI). Helping our customers use and integrate Big Data services in what is arguably our industry’s most exciting space. The portfolio of services covers EMR (Hadoop), DynamoDB (NoSQL), MangoDB, and Apache Cassandra.
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 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.
**PLEASE NOTE**: 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.
Diverse Experiences
Inclusive Team Culture
Here 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 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
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
- Knowledge or experience utilizing data analysis techniques such as quantitative or qualitative analysis.
- Knowledge or experience in various big data or distributed systems (NoSQL, search and streaming).
- 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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