Principal Software Engineer, Amazon Cross Border Tech

Description

Job Summary

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 Big Data (Distributed Processing) role supports our services that leverage data and produce business insights, which include hadoop ecosystem and component/applications: Apache Spark, Apache Hive, Presto, Map-Reduce, Zookeeper, HBASE, HDFS, YARN and Pig. In this role, engineers interact with customers that reach out to AWS via email, chat or phone, helping our customers use and integrate Big Data services in what is arguably our industry’s most exciting space. Engineers develop Subject Matter Expertise in one or more services. Engineers also collaborate with internal teams to provide the required support services to AWS customers. In addition, engineers also work on team functions, automation/optimization projects and continually work on improving operational efficiency.

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.

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.

Basic Qualifications

• 1+ years of software development, or 1+ years of technical support experience
• Experience troubleshooting and debugging technical systems
• Knowledge OR experience in Hadoop Administration, troubleshooting and problem solving skills (Any three applications: Apache Spark, Apache Hive, Presto, Map-Reduce, Zookeeper, HBASE, HDFS, YARN and Pig.) Good understanding and troubleshooting of File formats, Linux, Networking concepts and protocols (DNS, TCP/IP, DHCP, HTTPS, OSI Model, FIlesystems, disk space, Memory, CPU issues ,Security, Encryptions etc.), JVM concepts.
  
  

Preferred Qualifications

• A strong understanding of how data should be handled in MapReduce and with other Hadoop components is essential.
• Effectively to identify Resource performance bottlenecks, resource utilization efficiency and parallelism and provide strategies for optimizing performance
• Intermediate knowledge on one or more programming languages. Knowledge or experience with administration and troubleshooting with docker and Kubernetes
• 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).
  
  

A day in the life

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 innovative technologies, and developing new technical skills and other professional competencies.

You will act as interviewer in hiring processes, and coach/mentor new team members.

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.

About AWS

Diverse Experiences

AWS 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 Se

Basic Qualifications

• Good depth of understanding in Hadoop Administration, support and troubleshooting (Any two applications: Apache Spark, Apache Hive, Presto, Map-Reduce, Zookeeper, HBASE, HDFS and Pig.)
• Good understanding of Linux and Networking concepts
• Intermediate programming/scripting skills. Ideally in Java or Python, but will consider experience in other Object Oriented and Functional languages.
  
  

Preferred Qualifications

• Experience in building high-performance, highly-available and scalable distributed systems and experience with databases
  
  

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.


Company - Amazon Development Centre (South Africa) (Proprietary) Limited

Job ID: A2911753