Senior SDE: AI-Driven Kubernetes & Network Infra

Amazon Web Services (AWS); Santa Clara (CA); On-site; USD 193,000 - 262,000; Full time

Job summary

Amazon Development Center U.S., Inc. in Santa Clara, CA is seeking a senior software engineer to build the next generation of network management for AWS services and customers.

You will work with Kubernetes, ML frameworks, and ML infrastructure to train, fine-tune and deploy AI models at scale. Collaborate with AWS AI teams to operationalize models and improve the EKS experience for users. This cross-functional role spans research, design, and implementation of high-scale infrastructure.

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

Responsibilities

• You will be working with customers spanning from AI labs to Fortune 500 enterprises leveraging EKS to train and deploy models at scale.
• Collaborate 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, contribute to open source projects such as AWS VPC CNI and eBPF based network policy.
• Set technical strategy and oversee the development of high-scale, reliable infrastructure.
• Knowledge of Kubernetes and ML frameworks such as PyTorch, JAX, Kubeflow, Kueue, etc.

Skills

Java

Golang

C/C++

Python

Perl

Distributed systems

Kubernetes

PyTorch

JAX

Kubeflow

Education

Bachelor's degree in computer science or equivalent

Tools

eBPF

Linux

NCCL

GPU/ML infrastructure

PyTorch

Kubeflow

Job description

Amazon Development Center U.S., Inc. in Santa Clara, CA is seeking a senior software engineer to build the next generation of network management for AWS services and customers.

You will work with Kubernetes, ML frameworks, and ML infrastructure to train, fine-tune and deploy AI models at scale. Collaborate with AWS AI teams to operationalize models and improve the EKS experience for users. This cross-functional role spans research, design, and implementation of high-scale infrastructure.