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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior SDE, AWS SageMaker Data Preparation - **Company:** Amazon.com, Inc. - **Location:** Bellevue, WA, United States - **Experience:** Expert - **Salary:** $168,100.0 - $227,400.0 - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Amazon Web Services, Code Review, Computer Programming, Continuous Integration, Data Cleansing, Information Engineering, Software Design Patterns, Distributed Systems, Machine Learning, Open Source Technology, Software Engineering, System Availability, Information Technology, Low Latency, Build Process, Machine Learning Operations, Software Coding, Software Version Control, Automation Anywhere, Programming Languages - **Published:** August 9, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/27927871/Senior-Sde-Aws-Sagemaker-Data-Preparation-Washington-Bellevue-7375 ## About the Role 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent ## Description 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 Data Preparation team enables customers to generate high-quality synthetic data and ensure data quality across AI workflows. The goal is that every AI practitioner on SageMaker can produce tailored, high-quality datasets for model training, fine-tuning, and evaluation without needing deep data engineering expertise. As a Senior SDE on this team, you will own the design and delivery of large-scale, highly available distributed systems that power the end-to-end ML development experience. You will drive technical vision, influence product direction, and raise the engineering bar across the organization. You will be responsible for leading the team in building and maintaining capabilities within our best-in-class machine learning offering, as well as scaling those systems to support our customers' workflow orchestration automation needs. Engineers on the Amazon SageMaker Data Preparation 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., **Technical Leadership** - Lead the architecture, design, and implementation of complex software systems. Define long-term technical strategy and drive alignment across teams. **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. **Mentorship & Bar Raising** - Mentor engineers across levels, conduct design and code reviews, and actively raise the technical and operational bar for the team. **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. ## Related Videos - [Are Code Reviews Worth It? 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