Job Description

DESCRIPTION

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 as the next generation compute platform. This is an opportunity to operate and engineer on a massive scale, and to gain top-notch experience in cloud computing.

As an EKS Runtime Engineer in 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 strong product roadmap and who have or want to develop deep expertise in Kubernetes data plane ecosystem.

Key job responsibilities

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

A day in the life
Collaborate with peers over design approaches
Write critical path code and review your peer's code
Investigate issues and improve SLOs when oncall
Attend daily standups
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates 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.

Key job responsibilities
- Tune Amazon EKS accelerated machine images (AMI) to be best in class for AI/ML workloads

- Write test suites that accurately represent Kubernetes workloads

- 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 across a team of Kubernetes experts, Product Managers, and Applied Scientists to build machine learning capabilities for external and internal use.

BASIC QUALIFICATIONS

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

Job Tags

Full time, Internship,

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