Senior Software Development Engineer, AWS Kubernetes (K8s)

- 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
- 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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
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.

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.