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Software Development Engineer, Amazon Elastic Kubernetes Service (EKS)

Amazon

Seattle (WA)

On-site

USD 120,000 - 150,000

Full time

7 days ago
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Job summary

Join Amazon's Elastic Kubernetes Service (EKS) team as a Software Development Engineer. You'll work on optimizing Kubernetes for AI/ML workloads, collaborating with experts to enhance performance and reliability. This role offers the chance to operate at scale and contribute to cutting-edge cloud computing solutions.

Qualifications

  • 5+ years of professional software development experience.
  • Experience as a mentor, tech lead, or leading an engineering team.

Responsibilities

  • Tune Amazon EKS accelerated machine images for optimal performance.
  • Write test suites that simulate Kubernetes workloads.
  • Design and build CI/CD pipelines for EKS GPU machine images.

Skills

Software Development
System Design
Mentorship
Architecture

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 working towards making containers the next-generation compute platform. This is an opportunity to operate and engineer on a massive scale and gain top-notch cloud computing experience.

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

Key job responsibilities
  1. Tune Amazon EKS accelerated machine images (AMI) for optimal AI/ML workload performance.
  2. Write test suites that accurately simulate Kubernetes workloads.
  3. Design and build CI/CD pipelines that perform functional, load, and security tests for EKS GPU machine images.
A day in the life

This role involves collaboration with Kubernetes experts, Product Managers, and Applied Scientists to develop machine learning capabilities for both internal and external use. You will write critical path code, review peer code, investigate issues, and improve SLOs during on-call periods. Daily standups are part of the routine.

About the team

[Insert team description here if available]

About AWS

[Insert AWS overview here if needed]

Diverse Experiences

We value diverse experiences. Even if you do not meet all qualifications, we encourage you to apply. If your career is just starting or includes alternative experiences, don’t hesitate to apply.

Basic Qualifications
  • 5+ years of professional software development experience.
  • Proficiency in at least one programming language.
  • Experience in system design, architecture, 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.

We are an equal opportunity employer committed to diversity and inclusion. For workplace accommodations during the application process, please visit [link].

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