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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

Preferred Qualifications

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

- Bachelor's degree in computer science or equivalent

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.