Amazon - Westminster, CO
posted 4 months ago
The AI/ML Amazon Dedicated Cloud (ADC) team is at the forefront of delivering cutting-edge artificial intelligence and machine learning solutions to our customers in isolated, air-gapped cloud environments. We are dedicated to pushing the boundaries of what is possible in this rapidly evolving field, leveraging the power of cloud computing and the latest advancements in AI/ML technologies. With a focus on expanding AI/ML services across air-gapped cloud regions, driving automation investments, and delivering open-source solutions, we are at the forefront of innovation. Our team is committed to enabling customers to harness the full potential of AI/ML technologies, empowering them to achieve their objectives with greater efficiency, collaboration, and service utilization. A successful ADC Engineer II joining the team will work closely with Amazon's largest and most demanding government customers to address their specific needs across a full suite of AWS AI/ML services in air-gapped cloud environments. They will dive deeply into technical issues and work diligently to improve the customer experience. The ideal candidate will be great fun to work with, embodying our company credo of "Work hard. Have fun. Make history". The right candidate will love what they do and instinctively know how to make work fun. The position requires a strong foundation in Linux and Networking Fundamentals, with deep experience working in large scale, distributed environments. Candidates should understand networking technology and how servers and networks inter-relate, regularly engaging in deep-dive troubleshooting and conducting technical post-mortem discussions to identify the root cause of complex issues. The ideal candidate will also have a passion for solving problems using technology, with a solid understanding of systems design, operations, automation, and process improvement. They will think big, striving to build and deploy solutions across ADC partitions and regions while improving and streamlining processes for massive scale operations.