- - Experience with NoSQL Data Modeling and operations expertise (DynamoDB, Cassandra,CouchDB, MongoDB, etc). Knowledge or Experience with Networking and troubleshooting (TCP/IP, DNS, OSI model, routing, switching, firewalls, LAN/WAN,traceroute, iperf, dig, cURL or related).
- - Understanding of OS concepts(memory, storageand CPU usage).
- - Knowledge of in memory key:value store caching systems (Redis, Memcached, etc)
- Knowledge of Artificial Intelligence and Machine Learning. Experience utilizing Large Language Models.
- • Experience with atleast one of the programming or scripting languages such as Java, JavaScript or Python.
- • Knowledge of Streaming Application Architectures (events, checkpointing, etc).
- Experience with SQL and SQL-like queries (MariaDB, PostGres, Presto, etc).
- • Understanding of cloud computing concepts and/or experience with any cloud
- platforms (AWS, Azure, Google Cloud).
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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.
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.
Key job responsibilities
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 groundbreaking technologies, and developing new
technical skills and other professional competencies.
• You will act as interviewer in hiring processes, and coach/mentor new team members.
• 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.
A day in the life
The Cloud Support Engineer DynamoDB and Language role supports AWS services which are
used for NoSQL applications, industry specific data stores and applied machine learning and AI
applications. These services include DynamoDB, DynamoDB Accelerator (DAX), Lex, Transcribe,
Translate, Comprehend etc. Apart from working on a broad spectrum of technical issues, a
Cloud Engineer in AWS may also coach/mentor new hires, develop & present training, partner
with development teams on complex issues or contact-deflection initiatives, participate in
hiring, write tools and script to help the team, or work with leadership on process
improvements and strategic initiatives.
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 enterpriselevel 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.
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