ADC Engineer II, AI/ML ADC

The AI/ML Amazon Dedicated Cloud (ADC) team is seeking an Engineer II to join their innovative team focused on delivering artificial intelligence and machine learning solutions in isolated, air-gapped cloud environments. This role sits at the intersection of cloud computing and cutting-edge AI/ML technologies, working specifically with Amazon's most demanding government customers.

The position requires a unique blend of technical expertise and security credentials, including an active TS/SCI security clearance with polygraph. You'll be working in an environment that emphasizes Amazon's core principle of "Work hard. Have fun. Make history" while tackling complex technical challenges in AI/ML service implementations.

As an ADC Engineer II, you'll be responsible for supporting service builds and operations in ADC partitions and regions, creating crucial documentation and processes, and solving complex technical problems. The role demands strong Linux and networking fundamentals, with experience in large-scale distributed environments being particularly valuable.

The position offers a competitive salary range of $105,200 to $188,200 per year, varying by geographic location, plus additional benefits including medical coverage, financial benefits, and equity opportunities. Amazon provides a supportive environment focused on work-life harmony and professional development through mentorship and career growth opportunities.

You'll be joining AWS Utility Computing (UC), which provides foundational services like S3 and EC2, and continues to innovate in the cloud computing space. The team culture emphasizes inclusion, continuous learning, and embracing diversity through various employee-led initiatives and affinity groups.

This role offers the unique opportunity to work with cutting-edge AI/ML technologies while supporting critical government infrastructure, making it ideal for someone who wants to combine technical expertise with meaningful impact in the public sector. The position requires 3+ years of systems administration experience and strong communication skills, with opportunities for growth and development in cloud computing and AI/ML technologies.