Cloud Support Engineer (Big Data / AIML)

Full job description
- Bachelor's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - The Big Data role supports services that focus on Machine Learning technologies, including Amazon SageMaker and Bedrock, as well as dealing with open source models - Experience with programming/scripting (Batch, VB, PowerShell, Java, C#, Chef, Perl, Ruby and/or PHP); Experience with System Administration with Linux (Ubuntu, CentOS, RedHat) and/or Microsoft Windows Server; Experience with Networking and troubleshooting (TCP/IP, DNS, routing, switching, firewalls, LAN/WAN, traceroute, iperf, dig, cURL or related)
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. 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 interact with leading engineers and customers around the world to troubleshoot, build, secure, and optimise their workloads. Would you like to use the latest cloud computing technologies? Do you have a passion for Machine Learning? Can you apply advanced troubleshooting techniques to provide tailored solutions for our customers? 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 organisation? 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. Key job responsibilities Every 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 team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Hybrid Work We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our Australia Sydney or Melbourne Amazon offices.
Strong analysis and troubleshooting skills and experience
Experienced with Linux system monitoring and analysis
Good understanding of distributed computing environments
Exposure to Virtualization (VMware, Xen, Hypervisor)
- Prior working experience with AWS - any or all of EC2, S3, EBS, ELB, Dynamo DB, EMR, Glue, Athena; Exposure to security concepts / best practices

Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.

IDE statement:
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, ****** orientation, disability, age, or other legally protected attributes.

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.