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.

Key Responsibilities:

• Operating the world’s most advanced cloud computing infrastructure
• Simplifying and reinventing systems, processes, and tools to enhance customer and builder experiences
• Building unique solutions to complex technical problems
• Studying and learning from industry-recognized Amazon Senior and Principal Engineers
• Coaching, hiring, and developing team members

Basic Qualifications:

• Advanced knowledge in system administration (Linux and/or Windows)
• Experience with systems automation using Bash, Python, Perl, PowerShell, or Batch
• Practical understanding of network fundamentals (DNS, DHCP, TCP/IP, routing, switching, HTTP)
• Strong troubleshooting skills across application, network, and host levels

Preferred Qualifications:

• 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 optimization in a 24x7 production environment
• Familiarity with monitoring platforms, such as CloudWatch, Datadog, Grafana, Elastic, or similar