Software Development Engineer II, AWS SageMaker
Amazon
- Location
- US, WA, Bellevue
- Employment
- Full Time
- Work model
- On-Site
- Level
- Mid
- Posted
- 19h ago
Skills
About this role
Are you a highly skilled and innovative SDE with a passion for developing new machine learning capabilities and driving innovation to build customer-centric solutions in Amazon SageMaker AI? Are you interested to play a key role in developing software applications at AWS? We invite you to join us and be part of making history. The Amazon SageMaker Governance team is seeking Software Development Engineer to join our organization. SageMaker Governance provides the foundational platform capabilities that give enterprise customers trust, visibility, and control over their ML assets at scale. These capabilities enable customers to discover, audit, and manage machine learning models and workflows across accounts and organizations through a unified catalog, version-controlled lifecycle management, and end-to-end lineage tracking. Engineers on the Amazon SageMaker Governance team are expected to consistently experiment with new technologies and ideas in order to drive innovation and ensure SageMaker remains a best-in-class service. You will be held to the highest standards of engineering and operational excellence, including building highly resilient and scalable systems, producing clear and effective technical documentation, actively contributing to discussions on strategic direction, and continuously raising the bar. Most importantly, you will have the opportunity to collaborate with a team of highly skilled and dedicated engineers who share a commitment to achieving new levels of success. About Amazon SageMaker AI Amazon SageMaker AI is a fully managed machine learning service that simplifies the process of building, training, and deploying machine learning models. It abstracts away the undifferentiated heavy-lifting associated with large-scale machine learning implementations, allowing developers and data scientists to focus on the core modeling and problem-solving aspects of their work. SageMaker is currently utilized by businesses of all sizes, including some of the world's leading enterprises, across a growing number of geographic regions.
About the team
Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Key job responsibilities **System Design & Delivery** – Own end-to-end delivery of large-scale distributed services with high availability, low latency, and operational excellence. **Cross-Team Influence** – Collaborate with product, science, and partner engineering teams to define roadmaps and deliver customer-obsessed solutions. **Operational Excellence** – Champion best practices in CI/CD, observability, testing, and incident management. Drive a culture of ownership and accountability. **Innovation** – Identify opportunities to simplify, automate, and improve the developer experience. Contribute to patents, publications, or open-source projects where appropriate. **Customer Obsession** – Deeply understand customer workflows and pain points; translate insights into scalable, intuitive platform capabilities.