Software Development Engineer, Amazon SageMaker, AWS AmazonAI Machine Learning Platform
- Seattle, WA
Are you interested in democratizing machine learning? With Amazon SageMaker, Amazon Web Service's (AWS) Machine Learning platform team is building customer-facing services to empower data scientists and software engineers in their machine learning endeavors. This product is a blend of HTTP APIs, low and high-level SDKs, and an AWS Console UI.
You will design, implement, test, document, and support cross-cutting services to help customers do machine learning at scale. You'll 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. You will serve as a key technical resource in the full development cycle, from conception to delivery and maintenance. You will produce comprehensive, usable software documentation; recommend changes in development, maintenance and system standards. You will own delivery of entire piece of the system and serve as technical lead on complex projects using best practice engineering standards, and hire/mentor junior development engineers.
We're moving fast, and this is a great team to come to have a huge impact on AWS and the world's customers we serve!
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.
Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
• 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
• 8+ years of professional experience in software development
• Experience in mentoring junior software engineers to improve their skills, and make them more effective, product software engineers
• Experience in data structures, algorithm design, complexity analysis, object-oriented design
• Proficiency in at least one modern programming language such as Java, Scala, Python, C++, C#
• Experience in professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.
• Experience with building complex software systems that have been successfully delivered to customers
• Proven ability to take a project from scoping requirements through actual launch of the project, with experience in the subsequent operation of the system in production
• Experience with machine learning and/or data engineering
• Ability to take a project from scoping requirements through actual launch of the project
• Master's degree in Computer Science, Computer or Electrical Engineering
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
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