Software Development Engineer, Amazon Elastic Kubernetes Service (EKS)

Amazon; Seattle (WA); On-site; USD 120,000 - 160,000; Full time

Job summary

Join an innovative team at a leading cloud computing provider, where you'll engineer solutions for AI/ML workloads on Kubernetes. As a Software Development Engineer, you will work on optimizing machine images and building CI/CD pipelines, collaborating with experts across various domains. This role offers a unique opportunity to contribute to cutting-edge technology in a dynamic environment that values diverse experiences. If you are passionate about software development and eager to tackle complex challenges, this is the perfect opportunity to advance your career.

Qualifications

• 5+ years of professional software development experience.
• Experience in system design, reliability, and scaling.

Responsibilities

• Tune Amazon EKS accelerated machine images for AI/ML workloads.
• Design and build CI/CD pipelines for EKS GPU machine images.

Skills

Software Development

System Design

Reliability Engineering

Mentorship

Programming (any language)

Education

Bachelor's Degree in Computer Science

Job description

Software Development Engineer, Amazon Elastic Kubernetes Service (EKS)

Job ID: 2967867 | Amazon Development Center U.S., Inc.

At Amazon Elastic Kubernetes Service (EKS), we are building a core set of services that allow our customers to create and use Kubernetes at scale. You will be part of an exceptional team moving the needle towards making containers the next generation compute platform. This is an opportunity to operate and engineer on a massive scale and gain top-notch experience in cloud computing.

As an EKS Runtime Engineer in the Amazon Elastic Kubernetes Service (EKS) compute team, you will help make EKS the most reliable place to run AI/ML workloads on Kubernetes at massive scale (10,000 or more nodes per cluster). We are looking for engineers to help build our product roadmap and develop deep expertise in the Kubernetes data plane ecosystem.

Key job responsibilities

1. Tune Amazon EKS accelerated machine images (AMI) to be best in class for AI/ML workloads
2. Write test suites that accurately represent Kubernetes workloads
3. Design and build CI/CD pipelines that perform functional, load tests, and security scans for EKS GPU machine images

A day in the life

This is a cross-functional role where you will work with Kubernetes experts, Product Managers, and Applied Scientists to build machine learning capabilities for external and internal use.

About the team

About AWS

We value diverse experiences. Even if you do not meet all qualifications, we encourage you to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Basic Qualifications

• 5+ years of professional software development experience
• 5+ years of programming experience with at least one programming language
• 5+ years of experience in system design, reliability, and scaling
• Experience as a mentor, tech lead, or leading an engineering team

Preferred Qualifications

• 5+ years of full software development lifecycle experience
• Bachelor's degree in computer science or equivalent

Amazon is an equal opportunity employer and values diversity. For workplace accommodations, please visit the provided link.