Senior Software Development Engineer, AWS Kubernetes (K8s)

AWS Utility Computing (UC) is at the forefront of cloud innovation, providing foundational services like S3 and EC2 while continuously developing new features that set AWS apart in the industry. This senior role focuses on building next-generation network management systems for one of the world's largest networks, specifically working on Kubernetes (K8s) infrastructure.

The position involves working with cutting-edge AI technologies and supporting customers ranging from industry-leading AI labs to Fortune 500 companies using EKS (Elastic Kubernetes Service) for large-scale model training and deployment. You'll collaborate with Amazon's AI teams to improve the EKS experience through machine learning capabilities.

As a senior engineer, you'll work in a cross-functional environment alongside Kubernetes experts, Product Managers, and Applied Scientists. The role offers flexible working arrangements that prioritize work-life balance. The team culture emphasizes knowledge sharing and mentorship, making it an ideal environment for both personal and professional growth.

This is a critical role in Amazon's AI infrastructure, where your work will directly impact every AWS customer using large model training and inference. The position requires expertise in machine learning infrastructure, including experience with GPUs or AWS silicon like Trainium, and deep knowledge of Kubernetes and ML frameworks such as PyTorch, JAX, and Kubeflow.

The compensation package is competitive, ranging from $151,300 to $261,500 based on location, plus equity and comprehensive benefits. This is an excellent opportunity for experienced engineers looking to make a significant impact in the AI industry while working with world-class technology and teams.