Systems Engineer, AI/ML

DESCRIPTION

Would you like to help implement innovative cloud computing solutions and solve the world's most complex technical problems? Do you have a deep passion and desire to engineer and operate the world's largest cloud computing infrastructure to provide a better world for future generations?

Amazon Web Services (AWS) builds and operates some of the largest internet infrastructure on the planet; providing companies of all sizes with an infrastructure web services platform in the cloud. With AWS, customers provision compute power, storage, database, and other cloud resources as their business demands them. To meet the growing demand for AWS Services around the globe, we need exceptionally motivated people who are driven by learning and innovation.

AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

The AWS AI/ML team helps to support and operate some of the most comprehensive artificial intelligence and machine learning services in the world. From SageMaker to Bedrock to Amazon Q, the AI/ML team manage some of the most exciting, rapidly evolving services in AWS. If you join us, you'll be part of a world-class team in a dynamic environment that has the entrepreneurial feel of a start-up. This is an opportunity to operate and engineer systems on a massive scale and to gain world class experience in cloud computing, artificial intelligence and machine learning. You'll be surrounded by people who are passionate about their field, believe that first class service is critical to customer success and are committed to rapid iteration and continual improvement.

Top reasons to join our team:
- Be a catalyst to deliver truly disruptive products that are growing rapidly
- Define, build, own, and run services in high-growth environments
- Solve unique and first-order problems in rapidly evolving AWS services such as SageMaker, Bedrock and Amazon Q
- Learn how to build and operate distributed systems at scale
- Build and influence the tools and utilities that are part of the AWS fleet running our internal services

Key job responsibilities
Our Systems Engineers are expected to be leaders in their teams by becoming subject matter experts on multiple AWS services. They develop, build, deploy, operate, sustain and grow their services in cloud production environments. They are able to utilise trends and metrics to identify opportunities for improvements. They help develop and refine procedures used by their team and internal customers. They are able to develop at a high standard and can deal with new and ambiguous problem domains while consistently delivering customer impacting change.

Our Systems Engineers spend time:
• Operating the world's most advanced cloud computing infrastructure
• Simplifying and reinventing systems, processes, and tools to make things better for our customers and our builders
• Building unique solutions to our customers' technical problems
• Studying and learning from industry recognised Amazon Senior and Principal Engineers
• Coaching, hiring and developing team members

A day in the life
On a typical day, engineers might dive deep into understanding the root cause of a customer issue, investigate why a metric is trending the wrong way, consult with top engineers at Amazon or discuss radical new approaches to automate solutions to operational issues.

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:
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

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.

BASIC QUALIFICATIONS

- Experience with Linux/Unix
- Knowledge of systems engineering fundamentals (networking, storage, operating systems)
- Experience in networking, storage systems, operating systems and hands-on systems engineering
- Experience in automating, deploying, and supporting large-scale infrastructure
- Experience with distributed systems at scale

PREFERRED QUALIFICATIONS

- Experience with CI/CD pipelines build processes
- Experience building services using AWS products
- Experience utilizing AWS cloud solutions in a DevOps environment
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust

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.]]>