Software Development Engineer II AWS SageMaker

AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3 and Amazon Elastic Compute Cloud (EC2 to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll support the development and management of Compute Database Storage Internet of Things (Iot) Platform and Productivity Apps services in AWS including support for customers who require specialized security solutions for their cloud services.

Are you a highly skilled and innovative Software Development Engineer with a passion for developing new machine learning capabilities and driving innovation to build customercentric 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 Pipelines team is seeking highly skilled and innovative Software Development Engineer to join our organization. SageMaker Pipelines provides a serverless workflow orchestration capability purposebuilt for MLOps/LLMOps automation. This capability enables our customers to easily build execute and monitor repeatable endtoend machine learning workflows through an intuitive API draganddrop UI and the Python SDK. In this role you will be responsible for building and maintaining capabilities within our bestinclass machine learning offering as well as scaling those systems to support our customers workflow orchestration automation needs.

Engineers on the Amazon SageMaker Pipelines team are expected to consistently experiment with new technologies and ideas in order to drive innovation and ensure SageMaker remains a bestinclass 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 heavylifting associated with largescale machine learning implementations allowing developers and data scientists to focus on the core modeling and problemsolving aspects of their work. SageMaker is currently utilized by businesses of all sizes including some of the worlds leading enterprises across a growing number of geographic regions.

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
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Inclusive Team Culture
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Work/Life Balance
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3 years of noninternship professional software development experience
2 years of noninternship design or architecture (design patterns reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language

3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
Bachelors degree in computer science or equivalent

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