Software Engineer, Kubernetes

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 3+ 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

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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
Join the team that achieved a 20x scalability leap—pushing Amazon EKS from 5,000 nodes open-source per cluster limit to 100,000 nodes through various technical innovations in distributed systems and open-source collaboration. Work at the forefront of ultra-scale AI/ML infrastructure, enabling next-generation model training, fine-tuning, and agentic inference that's shaping the future of artificial intelligence. Learn more: https://aws.amazon.com/blogs/containers/under-the-hood-amazon-eks-ultra-scale-clusters/

etcd is a world-famous, open-sourced, distributed key-value store. It is the backend data store for Kubernetes. EKS etcd team is part of EKS, a managed service for running Kubernetes in AWS, which is now the de facto platform for hosting state-of-the-art LLM models in AWS and our customers include top GenAI model providers, i.e. Anthropic and Amazon Bedrock.

We will RELY ON YOU to help define our strategy and lay the foundations for all of our future roadmap. We value technically strong engineers who take initiative to learn and demonstrate ownership over the systems they work on.