Data Flow Analytics - Cloud Support Engineer
DESCRIPTION
Amazon Web Services is the market leader and technology forerunner in the Cloud business. As a member of the AWS Support team, you will be at the forefront of this transformational technology, 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. 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.
Would you like to use the latest cloud computing technologies? Do you have an interest in helping customers understand application architectures and integration approaches? Are you familiar with best practices for applications, servers, and networks? Do you want to be part of a customer-facing technology team helping to ensure the success of Amazon Web Services (AWS) as a leading technology organization?
If you fit the description, you might be the person we are looking for! We are a group of smart people, passionate about cloud computing, and believe that world-class support is critical to customer success.
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.
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/scripts 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 Premium Support sites located globally, working hours and days are based on customer demand and may include weekends (on a rotational basis).
This Analytics role supports our services that focus on Analytics technologies that allow customers to stream and search log data such as Kinesis, Managed Streaming for Kafka, Amazon OpenSearch, and Cloudsearch.
BASIC QUALIFICATIONS
- Exposure to streaming technologies (Kafka, Kinesis, Rabbit MQ). Log analysis and General Troubleshooting (tuning and optimization, Search and Indexing Operations, mapping, monitoring) understanding on Elastic Stack (Elastic, Logstash, Beats, Kibana, Fluentd etc) and knowledge of Opensearch APIs.
- Experience in Business Analytics application, support, and troubleshooting concepts.
- Experience with System Administration and troubleshooting with Linux (Ubuntu, CentOS, RedHat) and/or Microsoft Windows Server and associated technologies (Active Directory).
- Experience with Networking and troubleshooting (TCP/IP, DNS, OSI model, routing, switching, firewalls, LAN/WAN, traceroute, iperf, dig, cURL or related).
- Experience with Apache Flink, Apache Spark.
- Bachelor's degree in Information Science / Information Technology, Data Science, Computer Science, Engineering, Mathematics, Physics, or a related field OR equivalent experience in a technical position.
PREFERRED QUALIFICATIONS
- Experience in a customer support environment.
- Experience analyzing, troubleshooting, and providing solutions to technical issues.
- Understanding of Cloud Computing concepts.
- Experience scripting or developing in at least one of the following languages: Python, R, Ruby, GO, Java, .NET (C#), JavaScript.
- Good understanding of distributed systems.
- Exposure to Database Fundamentals and General Troubleshooting (tuning and optimization, deadlocks, keys, normalization) in any Relational Database Engines (MySQL, PostgreSQL, Oracle, SQLServer).
Amazon is an equal opportunities employer, and we value your passion to discover, invent, simplify and build. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief. Amazon is strongly committed to diversity within its community and especially welcomes applications from South African citizens who are members of designated groups who may contribute to Employment Equity within the workplace and the further diversification of ideas.
Amazon requires that you submit a copy of either your identity document or your passport and any applicable work permit if you are a foreign national, along with an updated curriculum vitae.
#J-18808-Ljbffr