Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Whether you're learning about Linux kernel internals, GPU driver architecture, Kubernetes device plugins, or distributed systems operations, our senior members provide one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer - balancing innovation work (new GPU support, AI workload patterns) with operational excellence (automation, monitoring, reliability improvements)—and enable them to take on more complex technical leadership in the future.
- 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
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience in Kubernetes, Docker or containers ecosystem, or experience that includes strong analytical skills, attention to detail, and effective communication abilities and experience in managing and troublshooting network
- Knowledge of and experience with cloud infrastructure technologies
- Experience in Linux/RHEL, or experience in Kubernetes, Docker or containers ecosystem and experience with programming/scripting (Batch, VB, PowerShell, Java, C#, Chef, Perl, Ruby and/or PHP)
- Experience with CloudFormation, Chef, Puppet, Salt, or Ansible in production environments
- Experience delivering products against plan in a fast-paced, multi-disciplined, distributed-responsibility and often ambiguous environment
- Experience with enterprise architecture including virtualization technologies and distributed architecture
- Experience in an operational role, or experience working with data analytics and using these metrics to identify problems
- Contributions to open-source projects, especially in the Kubernetes/CNCF ecosystem
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.
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
