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Sr. Software Engineer, AWS SageMaker


Our mission: To be Earth's most customer-centric company.


The SageMaker UI team is looking to hire a senior software engineer. We’d love to speak with you about an opportunity to work on the UI that enables scientists, engineers, and even hobbyists to develop artificial intelligence and machine learning models in the cloud.

We’re looking for someone to help create the best possible experience for our customers. We’re looking for someone that can lead by example, serving as a role model for the other developers on the team. We want someone that can collaborate with and mentor a team of software engineers and frontend engineers. And we want someone that is sensitive to the diverse perspectives of our internal and external stakeholders, and can work with them to produce the best results.

On the team, you’ll work on designing and developing the next generation of the SageMaker UI, enabling our customers to have the best possible experience. You’ll be working on the interfaces and architectures that enable our partner teams within SageMaker to quickly and easily develop customer-facing experiences.

Within the role, you should expect to:

• Work closely with senior engineers, UX designers, and product managers to design and develop friendly UI experiences.
• Improve and evolve the technical architecture, working closely with engineers and architects both within and outside your team.
• Lead the operational and engineering excellence efforts for the the team.
• Mentor and develop the engineers.
• Collaborate with other SageMaker engineers and managers for features that cut across the organization.
• Engage with customers and other AWS partners.
• Help with hiring.

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.

About Us

Inclusive Team Culture
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. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance
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.

Mentorship & Career Growth
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 based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.


• 4+ years of professional software development experience
• 3+ years of programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
• 2+ 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.
• Equivalent experience to a Bachelor’s degree based on 3 years of work experience for every 1 year of education
• 2+ years professional experience in software development.
• Experience with web/mobile technologies (e.g., JavaScript/TypeScript, NodeJS, React, WebPack, HTTP mechanics/performance).


• Attuned design sense, enabling collaboration with UX designers, frontend engineers, and/or “backend” SDEs.
• Knowledge of 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.
• Ability to take a project from scoping requirements through actual launch of the project.
• Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.
Amazon is committed to a diverse and inclusive workforce. Amazon is an equal opportunity employer and does not discriminate on the basis of race, ethnicity, 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

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Sr. Software Engineer, AWS SageMaker

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Our mission: To be Earth's most customer-centric company.

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