Senior Software Development Engineer, AWS Kubernetes (K8s)

Amazon Inc.; Santa Clara (CA); On-site; USD 193,000 - 262,000; Full time

Job summary

Amazon Development Center U.S., Inc. seeks an experienced software engineer to build and operate infrastructure for training, fine-tuning and inference of AI models within the EKS/Kubernetes ecosystem.

You will collaborate with AI teams to operationalize models and scale ML infrastructure across GPUs and AWS silicon like Trainium, while contributing to open source projects and ensuring high reliability. This cross-functional role emphasizes mentoring, scalable design, and customer-focused

Qualifications

• Bachelor's degree in computer science or equivalent.
• 8+ years of non‑internship professional software development experience.
• 5+ years of programming with at least one software programming language.
• 5+ years of leading design or architecture of new and existing systems.
• Experience as a mentor, tech lead or leading an engineering team.
• Knowledge of professional software engineering lifecycle and best practices.
• Proven software development skills in Java, Golang, C/C++, Python and/or Perl in Linux.
• Familiarity with distributed systems and network protocols.
• Strong CS fundamentals in data structures and algorithms.
• Strong object-oriented design and system architecture knowledge.
• Adept problem solving and troubleshooting skills.

Responsibilities

• You will be working with customers spanning from industry-leading AI labs to Fortune 500 enterprise companies that are leveraging EKS to train and deploy models at scale.
• You will work with Amazon's AI teams to operationalize purpose-built models to improve the EKS experience for new and existing users.
• As a member of the EKS Networking team, you will contribute to open source projects such as AWS VPC CNI, eBPF based network policy, AWS load balancer controller and work on next generation eBPF based network observability and telemetry.
• Additionally our ideal candidate will have experience with machine learning infrastructure like GPUs or AWS silicon like Trainium as well as supporting networking infrastructure like NCCL. They should be able to set technical strategy and oversee the development of high-scale, reliable infrastructure.

Skills

Distributed systems

Kubernetes

Machine learning infra

Java

Golang

Python

C/C++

Problem solving

Code reviews

Mentoring

Education

Bachelor's degree in computer science or equivalent

Tools

Linux

AWS technologies

Job description

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Job ID: 10594693 | Amazon Development Center U.S., Inc.

Our software developers build the next generation technologies that change how millions of AWS customers connect, and interact with AWS services ecosystem. We use ideas from every facet of computer science including distributed computing, large-scale design, service oriented architecture, networking, big data processing, machine learning, and artificial intelligence. We are looking for highly-motivated and passionate engineers to build next generation of network management for one of the largest networks in the world.

We are seeking an experienced software engineer with background in building and operating an infrastructure platform responsible for training, fine-tuning and inference of AI models.

Key job responsibilities

• You will be working with customers spanning from industry-leading AI labs to Fortune 500 enterprise companies that are leveraging EKS to train and deploy models at scale.
• You will work with Amazon's AI teams to operationalize purpose-built models to improve the EKS experience for new and existing users.
• As a member of the EKS Networking team, you will get to actively contribute to open source projects such as AWS VPC CNI, eBPF based network policy, AWS load balancer controller and work on next generation eBPF based network observability and telemetry.
• Additionally our ideal candidate will have experience with machine learning infrastructure like GPUs or AWS silicon like Trainium as well as supporting networking infrastructure like NCCL. They should be able to set technical strategy and oversee the development of high-scale, reliable infrastructure. They should possess a working knowledge of Kubernetes and associated machine learning frameworks such as PyTorch, JAX, Kubeflow, Kueue, etc.

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.

We believe in a flexible approach to work that empowers you to strike a balance tailored to your needs, fostering long‑term happiness and fulfillment. It's not about the time spent in any one location, but rather about cultivating a harmonious equilibrium that enhances all aspects of your life. Our team is dedicated to supporting new members, regardless of experience level or tenure, in an environment that encourages knowledge sharing and mentorship.

This team plays a critical role in AI at Amazon. Every customer that uses AWS for large model training and inference will be utilizing your software, and the performance of that software is of paramount importance. If you are looking to make a significant impact in the AI industry, this is an excellent team to be a part of.

About the team

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. Our senior members enjoy one‑on‑one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.

Basic Qualifications

• Bachelor's degree in computer science or equivalent
• 8+ 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
• Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
• Proven software development skills, preferably in Java, Golang, C/C++, Python and/or Perl in a Linux environment
• Familiarity with distributed systems, asynchronous messaging, and network protocols
• Strong computer science fundamentals in data-structures and algorithms
• Strong knowledge of object-oriented design and system architecture
• Adept problem solving and troubleshooting skills

Preferred Qualifications

• Experience in taking a lead role developing complex software systems that have successfully been delivered to customers
• Demonstrated ability to mentor other software developers in all aspects of their engineering skill sets
• Experience in communicating with users, other technical teams, and senior management to collect requirements, describe software product features, product strategy and influence outcomes in technical decision-making
• Knowledge of major protocols, topology design, network hardware and device configuration
• Solid understanding of performance and efficiency with a strong customer focus
• eBPF knowledge and hands on eBPF experience is a strong plus
• Experience working on Linux kernel or any other operating system is a plus

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, Santa Clara - 193,300.00 - 261,500.00 USD annually