Senior Software Development Engineer, Machine Learning, AWS Kubernetes
3 weeks ago
We are seeking an experienced software engineer with a background in building and operating infrastructure platforms responsible for training, fine-tuning, and inference of AI models. As a key member of our team, you will work with customers spanning from industry-leading AI labs to Fortune 500 enterprise companies that leverage EKS to train and deploy models at scale.
Key Responsibilities
You will work with Amazon's AI teams to operationalize purpose-built models to improve the EKS experience for new and existing users. This is a cross-functional role where you will collaborate with a team of Kubernetes experts, product managers, and applied scientists to build machine learning capabilities for external and internal use.
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 their engineering expertise so they feel empowered to take on more complex tasks in the future.
Basic Qualifications
A 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 of new and existing systems experience. Experience as a mentor, tech lead, or leading an engineering team. Knowledge of professional software engineering and best practices for the 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.
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