Jobs at Amazon

Basic Qualifications

• Good in-depth troubleshooting to resolve straightforward Linux and network related technical problems.
• Strong troubleshoot connectivity problems across the different layers of the OSI model from the Linux stand point of view using tools like ping, traceroute, ifconfig, tcpdump, etc.
• Good understanding of Networking fundamentals like CIDR notations, OSI model, HTTP/HTTPS, DNS, SSH, TCP, routing, switching, subnets, ACLs, NAT
• Perform networking administration tasks like being able to connect an individual PC to the network/internet and set FW rules.

Preferred Qualifications

• 4 to 7 years of relevant experience
• Perform basic administration tasks and initial troubleshooting of different Linux distributions.
• Knowledge of the most common OS logs used for troubleshooting problems.
• Troubleshooting of disk space issues and knowledge of the administrative tasks required to address these problems.
• High level understanding of security in Linux (filesystem permissions, etc), may have experience managing users and groups.
• Troubleshooting of booting issues and how to manage services in Linux (SystemV and or SystemD)
• Basic backup and restore concepts (desktops/laptops).
• Have experience installing software using the different package managers
• Basic understanding of applications such as Apache, NginX, MySQL, etc.
• Troubleshoot performance issues in a single domain using common OS tools such as top, sar and free.
• Basic understanding of process lifecycle and signals
• Basic understanding of 3-tier web application and a general idea of which components are stateful and which ones are stateless.
• Basic understanding of shell concepts such as variables, aliases, redirection and shell expansion.

Key job responsibilities

• 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.

A day in the life

• 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.

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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

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Basic Qualifications
Basic Qualifications

• Understanding of ETL (Extract , Transform , Load) - Creation of ETL Pipelines to extract and Ingest data into data lake/warehouse with simple to medium complexity Data transformations and troubleshooting ETL job issues.
• Understanding of Linux and Networking concepts.
• Excellent oral and written communication skills with multi-tasking ability.
• Master’s degree in Information Science/Information Technology, Data Science, Computer Science, Engineering, Mathematics, Physics, or a related field OR Bachelor’s degree in the same with 1+ year of experience OR equivalent experience in a technical position

Preferred Qualifications
Preferred Qualifications

• Intermediate to advanced expertise in ETL tools such as Talend, Informatica or similar.
• Knowledge of data management fundamentals and data storage principles
• Advanced SQL and query performance tuning skills.
• Experience integrating and managing large data sets from multiple sources
• Ability to read and understand Python and Scala code
• Understanding of distributed computing environments
• Proficient in Spark,Hive and Presto
• Experience working with docker
• Python, and shell scripting
• Customer service experience / strong customer focus
• Prior working experience with AWS - any or all of EC2, S3, EBS, Glue, Athena
• Experienced with Linux system monitoring and analysis(disk management, memory management, permissions etc.)
• Understanding of Networking concepts and protocols(DNS, TCP/IP, DHCP, HTTPS, etc.)

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• The DMS role supports AWS Serverless technologies (Lambda, API Gateway, Step functions, etc). Serverless Architectures are some of the fastest growing areas of technology and we're excited to help developers innovate and deliver amazing experiences.

Key job responsibilities
First and foremost this is a customer support role – in The Cloud.

• 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.
• As we operate on a follow-the-sun model, with Premium Support sites located globally, working hours and days are based on customer demand and may include weekends (on a rotational basis).

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

• Knowledge/experience in one or more modern programming languages such as Java, C++, Python, Javascript, .NET, PHP or Ruby
• Knowledge of data structures, algorithms, operating systems, and/or distributed systems.
• Exposure to Serverless technologies such as Lambda, API Gateway, AWS IoT or Mobile and Messaging technologies or AI (Artificial Intelligence) related technologies.
• Exposure to REST API based services.

Preferred Qualifications

• 4 to 7 years of relevant experience
• Experience with System Administration with - Linux (Ubuntu, CentOS, RedHat) and/or Microsoft Windows Server and associated technologies (Active Directory, Exchange).
• Experience in Networking technologies including DNS, TCP/IP, SSL, DHCP and Load Balancing.
• Experience with Network troubleshooting tools (telnet, test-netconnection, tracert, tracetcp, iperf, ntttcp, dig, and packet capture tools).
• Experience with programming/scripting (Batch, VB, PowerShell, Java, C#, Chef, Perl, Ruby and/or PHP).
• Strong analysis and troubleshooting skills and experience.
• Experience managing full application stacks from the OS up through custom applications.
• Good understanding of distributed computing environments.
• Exposure to security concepts/best practices.
• Experience with Cloud services and Cloud deployments.

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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.

Basic Qualifications
BASIC EXPERIENCE/SKILLS

• 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
• 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.)

go to method of application »

• The DMS role supports AWS Serverless technologies (Lambda, API Gateway, Step functions, etc). Serverless Architectures are some of the fastest growing areas of technology and we're excited to help developers innovate and deliver amazing experiences.

Key job responsibilities
First and foremost this is a customer support role – in The Cloud.

• 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.
• 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 (on a rotational basis).
• Fluency in English required

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

• Knowledge/experience in one or more modern programming languages such as Java, C++, Python, Javascript, .NET, PHP or Ruby
• Knowledge of data structures, algorithms, operating systems, and/or distributed systems.
• Exposure to Serverless technologies such as Lambda, API Gateway, AWS IoT or Mobile and Messaging technologies or AI (Artificial Intelligence) related technologies.
• Exposure to REST API based services.

Preferred Qualifications

• 4 to 7 years of relevant experience
• Experience with System Administration with - Linux (Ubuntu, CentOS, RedHat) and/or Microsoft Windows Server and associated technologies (Active Directory, Exchange).
• Experience in Networking technologies including DNS, TCP/IP, SSL, DHCP and Load Balancing.
• Experience with Network troubleshooting tools (telnet, test-netconnection, tracert, tracetcp, iperf, ntttcp, dig, and packet capture tools).
• Experience with programming/scripting (Batch, VB, PowerShell, Java, C#, Chef, Perl, Ruby and/or PHP).
• Strong analysis and troubleshooting skills and experience.
• Experience managing full application stacks from the OS up through custom applications.
• Good understanding of distributed computing environments.
• Exposure to security concepts/best practices.
• Experience with Cloud services and Cloud deployments.