Cloud Support Engineer – SVO (Machine Learning), Support Engineering Full-time

ABOUT US

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?

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/script 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 Support sites located globally, working hours and days are based on customer demand and may include weekends.

About the team

Diverse Experiences

Amazon 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.

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.

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 and 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.

BASIC QUALIFICATIONS

– Experience troubleshooting and debugging technical systems

– 1+ years of technical support, or 1+ years of software development experience

– Intermediate expertise in Machine Learning including but not limited to,

– Good Understanding of common Machine Learning algorithms such as Linear, Decision-Trees, Kmeans, etc.

– Experience with one or more Machine Learning Frameworks such as Tensorflow, Pytorch etc.

– Experience with training models, hyperparameter tuning, hosting and deployment of models

– Experience with data preparation techniques

– Experience with one of the programming/scripting languages (Batch, VB, PowerShell, Java, C#, Chef, Perl, Ruby and/or PHP)

– Experience with System Administration with Linux and/or Microsoft Windows Server

– Experience with Networking and troubleshooting (TCP/IP, DNS, routing, switching, firewalls, LAN/WAN, traceroute, iperf, dig, cURL or related)

PREFERRED QUALIFICATIONS

– Bachelor’s degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field.

– 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

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. In this regard, the relevant laws and principles associated with Employment Equity will be considered when appointing potential candidates. We are required by law to verify your ability to work lawfully in South Africa. 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.