Cloud Support Engineer

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Cloud Support Engineer - DynamoDB and Language (DBL), DynamoDB and Language, Dublin

Client: Amazon EU SARL, Irish Branch

Location:

Dublin, Ireland

Job Category:

Other

EU work permit required:

Yes

Job Reference:

9e287f47e570

Job Views:

4

Posted:

19.04.2025

Expiry Date:

03.06.2025

Job Description:

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:

1. 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.
2. 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.
3. 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.
4. You will be continuously learning groundbreaking technologies, and developing new technical skills and other professional competencies.
5. 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 enterprise-level 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.

BASIC QUALIFICATIONS

1. 1+ years of software development, or 1+ years of technical support experience. Experience troubleshooting and debugging technical systems.
2. 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).
3. Understanding of OS concepts (memory, storage and CPU usage).

PREFERRED QUALIFICATIONS

1. Knowledge of in memory key:value store caching systems (Redis, Memcached, etc).
2. Knowledge of Artificial Intelligence and Machine Learning. Experience utilizing Large Language Models.
3. Experience with at least one of the programming or scripting languages such as Java, JavaScript or Python.
4. Knowledge of Streaming Application Architectures (events, checkpointing, etc).
5. Experience with SQL and SQL-like queries (MariaDB, PostGres, Presto, etc).
6. Understanding of cloud computing concepts and/or experience with any cloud platforms (AWS, Azure, Google Cloud).

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