Senior SDE, AWS SageMaker Data Preparation
Core
Design and deliver large-scale, highly available distributed systems powering the end-to-end ML development experience on Amazon SageMaker AI, enabling customers to generate high-quality synthetic data and ensure data quality across AI workflows.
Role type
Senior Staff Software Development Engineer (Technical Lead)
Builds
Large-scale distributed services for data preparation, synthetic data generation, and workflow orchestration automation within Amazon SageMaker AI.
Domain
Cloud Infrastructure / Machine Learning Platform Engineering
Deliverable
production ML models | infrastructure
Required skills
Distributed systems architecture, system design, technical leadership, mentorship, CI/CD, observability, incident management, software development lifecycle management
Preferred skills
Full SDLC experience, code review leadership, open-source contributions, patent/publication experience
Technologies
AWS SageMaker, Cloud-native distributed systems, CI/CD pipelines, Observability tools
Responsibilities
Lead architecture and design of complex software systems; Own end-to-end delivery of large-scale distributed services; Collaborate with product and science teams to define roadmaps; Mentor engineers and raise the technical bar; Champion best practices in operational excellence; Identify opportunities to simplify and automate developer experiences.
Seniority
Senior, hands-on IC with technical leadership and mentorship responsibilities
