Lead multi-person projects end-to-end — from design documentation and architecture reviews through to delivery
Design container platform integrations — device plugins, DRA drivers, and operator development for ML accelerator resource management
Solve scalability challenges — diagnose performance issues across thousand-node customer clusters
Simplify systems — deprecate legacy software and reduce complexity in container delivery pipelines
Drive operational excellence — own on-call responsibilities, proactively triage test failures, and drive ticket resolution
Elevate team quality — deliver insightful code reviews and set the standard through your own contributions
Build consensus — align stakeholders on technical direction when solutions are ambiguous or views are discordant

About the team
Neuron Containers connects the Neuron SDK to compute platforms. The team enables customers to run training and inference workloads on Neuron at scale — with reliable device allocation, fault tolerance, auto-scaling, and native observability. The team owns Neuron integration with Kubernetes, ECS, and Slurm.

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
• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Experience as a mentor, tech lead or leading an engineering team
• 7+ years of software development experience
• 4+ years of distributed systems experience, or Bachelor's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
• Experience in large-scale IT deployment or programming
• Experience leading engineering design projects and interacting with cross-functional teams
• Proficiency in Go or similar systems languages

Preferred Qualifications

• Bachelor's degree in computer science or equivalent
• Experience with Kubernetes architecture device plugins, schedulers, controllers, DRA drivers
• Hands-on experience with Helm, Prometheus, Kubernetes operator frameworks
• Familiarity with ML training/inference infrastructure and container image pipelines
• Experience with AWS compute services (EC2, EKS, ECS, ECR)
• Exposure to Deep Learning Containers or Deep Learning AMIs

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

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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, CA, Cupertino - 193,300.00 - 261,500.00 USD annually