Systems Engineer, AI/ML

- Advanced knowledge in system administration (Linux and/or Windows)
- Experience of systems automation using (Bash, Python, Perl, PowerShell, Batch)
- Practical understanding of network fundamentals (DNS, DHCP, TCP/IP, routing, switching, HTTP)
- Good troubleshooting skills at all levels, from application to network to host
- Understanding of cloud computing concepts and design considerations
- Knowledge of configuration management systems, such as Puppet, Chef, Ansible, DSC, or related systems
- Experience with performance testing and optimisation in a 24x7 production environment
- Experience using monitoring platforms, such as CloudWatch, Datadog, Grafana, Elastic or similar

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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.
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.

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 fuelled 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.