Senior Software Development Engineer, ML Ops, AWS Infrastructure Science Engineering

AWS Infrastructure Services (AIS) is seeking a Senior Software Development Engineer to join their ML Ops team within the Infrastructure Science Engineering group. This role sits at the intersection of infrastructure management and machine learning, focusing on optimizing power and cooling across AWS's global data center network.

The position offers a unique opportunity to work with a diverse team of scientists, program managers, and data engineers to build and scale machine learning workflows that directly impact AWS's infrastructure efficiency. You'll be part of the Lanner team, a tight-knit group of eight developers who combine technical excellence with a strong emphasis on work-life balance.

As a senior engineer, you'll lead the development of platforms for deploying and managing ML models, with particular focus on model retraining and monitoring systems. Your work will be crucial in ensuring the efficient placement of server demand by modeling power and cooling loads across AWS's global data center network.

The role combines technical leadership with hands-on development, requiring expertise in both software engineering and machine learning operations. You'll be responsible for building infrastructure that supports all phases of ML models, from R&D to production, while ensuring scalability and reliability.

AWS offers comprehensive benefits, including medical coverage, financial benefits, and career development opportunities. The company's culture strongly emphasizes work-life harmony and inclusive practices through various employee-led affinity groups and ongoing learning experiences.

This position is ideal for someone who combines strong software engineering fundamentals with ML expertise, enjoys solving complex infrastructure challenges, and wants to make a lasting impact on AWS's global infrastructure while working in a collaborative environment that values both technical excellence and personal growth.