Job ID: 2794251 | Amazon Web Services New Zealand LimitedIn AWS Support (https://aws.amazon.com/premiumsupport/), every day will bring new and exciting challenges on the job.
As you interact with leading engineers and customers around the world to build, troubleshoot, secure, and optimise their workloads, you will learn a diverse set of cloud technologies as you hone your advanced troubleshooting techniques.
A successful candidate is not expected to be a cloud expert prior to joining AWS, but securing a role as a Cloud Engineer in AWS Support is a great way to become one!Key job responsibilitiesOn a typical day, a Cloud Engineer will be primarily responsible for solving customers' issues through a variety of 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 to dive deep into the root cause of an issue.Apart from working on a broad spectrum of technical issues, a Cloud Engineer in AWS may also:Coach/mentor new hiresDevelop & present trainingPartner with development teams on complex issues or contact-deflection initiativesParticipate in hiringWrite tools and scripts to help the teamWork with leadership on process improvements and strategic initiativesA day in the lifeEvery day will bring new and exciting challenges on the job while you:Learn and use groundbreaking technologies, specifically within Machine Learning.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.About the teamAWS 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.BASIC QUALIFICATIONSBachelor's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative fieldThe Big Data role supports services that focus on Machine Learning technologies, including Amazon SageMaker and Bedrock, as well as dealing with open source modelsExperience with programming/scripting (Batch, VB, PowerShell, Java, C#, Chef, Perl, Ruby and/or PHP)Experience with System Administration with Linux and/or Microsoft Windows ServerExperience with Networking and troubleshooting (TCP/IP, DNS, routing, switching, firewalls, LAN/WAN, traceroute, iperf, dig, cURL or related)PREFERRED QUALIFICATIONSStrong analysis and troubleshooting skills and experienceExperienced with Linux system monitoring and analysisGood understanding of distributed computing environmentsExposure to Virtualization (VMware, Xen, Hypervisor)Prior working experience with AWS - any or all of EC2, S3, EBS, ELB, Dynamo DB, EMR, Glue, AthenaExposure to security concepts / best practicesPosted: January 6, 2025 (Updated about 20 hours ago)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.
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