Cloud Support Engineer II - Big Data, Support Engineering
DESCRIPTION
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- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
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.
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
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.
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
AWS values diverse experiences. Even if you do not meet all of the 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.
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.
BASIC QUALIFICATIONS
- 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.
PREFERRED QUALIFICATIONS
- 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.
- Knowledge of security concepts/best practices in securing application architectures from external threats.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.