Amazon Corporate LLC SDE, AWS SageMaker Core Platform in Seattle, Washington
Interested in making an impact on the Machine Learning and AI ecosystem? As an SDE on the Amazon SageMaker Studio Core Platform team, you'll own the core platform (control plane and data plane) for various interactive applications (e.g. JupyterLab). Our team's mission is to enable any interactive application to scale reliably and securely so any data scientist, developer, or student can launch a wholly configured and collaborative workspace in the cloud. You will work in the company of world experts and there are immense learning opportunities.Engineers on this team get to:* Develop in multiple layers of the stack including distributed workflows, high throughput data planes, linux networking, and system security.* Build fundamental primitives in the cloud for enabling data scientists workflows.* Develop/maintain operational rigor for a fast-growing AWS service.Note that this is a backend engineering position.Key Responsibilities:* Assist in gathering and analyzing business and functional requirements, and translate requirements into technical specifications for robust, scalable, supportable solutions that work well within the overall system architecture.* Engage with customers and other AWS partners* Serve as technical lead on complex projects using best practice engineering standards, and hire/mentor junior development engineers* You'll be well supported with by a group with deep technical chops, including multiple senior and principal engineers.What is SageMaker?Amazon SageMaker (https://aws.amazon.com/sagemaker/) is a fully-managed Machine Learning platform that makes it easy to build ML models, manage them, and integrate them with custom applications for batch or online predictions. SageMaker takes away the "heavy-lifting" normally associated with large-scale Machine Learning implementations so that developers and scientists can focus on the truly creative work of modeling and solving the business problem at hand.What is SageMaker Studio?SageMaker Studio is AWS' fully Integrated Development Environment for Machine Learning. It's our end-user-focused single-pane-of-glass for interfacing with SageMaker and a plethora of ML technologies. Read more at https://aws.amazon.com/blogs/aws/amazon-sagemaker-studio-the-first-fully-integrated-development-environment-for-machine-learning/Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.Basic Qualifications* 2+ years of non-internship professional software development experience* Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design* 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.* Bachelor's Degree in Computer Science or related field or equivalent work experience* Strong computer science fundamentals - data structures, algorithms design, complexity analysis, operating systems etc.* Object-oriented design proficiency* Strong analytical abilities and problem solving* Strong inclination towards building high quality systems by testing mercilessly.* Strong sense of ownership and willing to own end to end systems.* Proficiency in, at least, one modern programming language such as Java, Go, Python, Scala, C++, C#.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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.