Cloud Support Engineer - SVO, Support Engineering at Amazon

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.

WHY AWS SUPPORT?

• First and foremost, this is a customer support role – in The Cloud.
• On a typical day, a Support Engineer will be primarily responsible for solving customer’s cases through a variety of customer contact channels which include telephone, email, and web/live chat. You will apply advanced troubleshooting techniques to provide tailored solutions for our customers and drive customer interactions by thoughtfully working with customers to dive deep into the root cause of an issue.
• Apart from working on a broad spectrum of technical issues, an AWS Support Engineer may also coach/mentor new hires, develop & present training, partner with development teams on complex issues or contact deflection initiatives, participate in new hiring, write tools/script to help the team, or work with leadership on process improvement and strategic initiatives.
• Career development: We promote advancement opportunities across the organization to help you meet your career goals.
• Training: We have training programs to help you develop the skills required to be successful in your role.
• We hire smart people who are keen to build a career with AWS, so we are more interested in the areas that you do know instead of those you haven’t been exposed to yet.
• Support engineers interested in travel have presented training or participated in focused summits across our sites or at specific AWS events.
• As we operate on a follow-the-sun model, with Support sites located globally, working hours and days are based on customer demand and may include weekends.

We are open to hiring candidates to work out of one of the following locations:
Nairobi, KEN
Basic Qualifications

• As a part of the AI/ML team, a Cloud Support Engineer will support customers who leverage AWS AI/ML services to build train and deploy models to solve various business problems. Helping customers to use and integrate services like Sagemaker , Personalize ,Forecast, Lex and Transcribe among others.
• However, we do not expect you to know all of these and we provide extensive training to successful candidates.

At a minimum, you must have the following qualifications/skills to apply:

BASIC EXPERIENCE/SKILLS

• Good depth of understanding in Machine Learning concepts, such as common ML algorithms and their uses and data preparation techniques.
• 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.
• Excellent oral and written communication skills with multi-tasking ability.
• Should be a self-starter who is excited about learning new technology.
• Open to working non-standard hours (no night shifts) including a Sun-Mon or Fri-Sat weekend Strong troubleshooting skills

Preferred 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