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1 Nov 2023

Cloud Support Engineer – SVO at Amazon

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Job Description

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth’s most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You’ll also hear us say that at Amazon, it’s always “Day 1.”​ What do we mean? That our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

SUMMARY

As a Cloud Support Engineer, you will act as the ‘Cloud Ambassador’ across all the cloud products, arming our customers with required tools & tactics to get the most out of their Product and Support investment.

WHAT CAN YOU EXPECT FROM A LIFE AT AWS?

Every day will bring new and exciting challenges on the job while you:

  • Learn and use groundbreaking technologies.
  • Apply advanced troubleshooting techniques to provide unique solutions to our customers’ individual needs.
  • Interact with leading engineers around the world.
  • Partner with Amazon Web Services teams to help reproduce and resolve customer issues.
  • Leverage your extensive customer support experience to provide feedback to internal AWS teams on how to improve our services.
  • Drive customer communication during critical events.
  • Drive projects that improve support-related processes and our customers’ technical support experience.
  • Write tutorials, how-to videos, and other technical articles for the developer community.
  • Work on critical, highly complex customer problems that may span multiple AWS services.

Qualifications

PREFERRED EXPERIENCE/SKILLS

  • Bachelor’s degree in Information Science / Information Technology, Computer Science, Engineering, Mathematics, Physics, or a related field
  • Intermediate to advanced expertise in Machine Learning experience: supervised learning (regression), supervised learning (classification)
  • Experience with data preparation techniques for training
  • Experience with training models, hyperparameter tuning, hosting and deployment of models
  • Good Understanding of common ML algorithms such as Linear Learner, Decision-Trees,Kmeans etc.
  • Experience with one or more ML Frameworks such as Tensorflow, Pytorch etc
  • Proficient in Hadoop Map-Reduce and its Eco System [ Hive, HBASE, Spark, Presto etc.].
  • Python and shell scripting
  • Good understanding of distributed computing environments
  • Customer service experience / strong customer focus
  • Experience building docker images and troubleshooting container related issues
  • Prior working experience with AWS – any or all of EC2, S3, EBS, EMR
  • Experienced with Linux system monitoring and analysis (disk management, memory management, permissions etc.)
  • Good understanding of Networking concepts and protocols (DNS, TCP/IP, DHCP, HTTPS, etc.)
  • Strong coding skills
  • Good understanding of distributed computing environments
  • Customer service experience / strong customer focus
  • Experience building docker images and troubleshooting container related issues


Method of Application

Submit your CV and Application on Company Website : Click Here

Closing Date : 15 November. 2023





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