Systems Engineer, Amazon

• 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?
• 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
• 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

Desirable

• 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
• 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
• 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
• 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
• 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
• 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