Senior Software Development Engineer, Intelligence Data Services, Leo

Position: Senior Software Development Engineer, Intelligence Data Services, Amazon Leo
This job is with Amazon, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

DESCRIPTION:

Amazon Leo is Amazon's low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we've designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity.

Export Control :
This position requires that the candidate selected be a U.S. Citizen in order to comply with U.S. government-imposed requirements related to the nature of the work and/or where it will be performed.

Amazon Leo Intelligence Data Services (KIDS) team is seeking a Software Development Engineer who will design and build innovative self-service applications and automation tools for Data Hive, our enterprise-grade data platform for Leo Production Operations and beyond. In this role, you'll be responsible for developing user-facing applications that enable data producers and consumers across the organization to seamlessly interact with our centralized data infrastructure.

You'll build web portals, data catalogs, automation frameworks, and integrations that make data discovery, classification, quality monitoring, and consumption intuitive and efficient.

As a Senior Software Development Engineer, you will architect and implement full-stack applications that serve as the gateway to Data Hive. You'll develop features including interactive data catalogs with searchable data dictionaries, self-service data classification and tagging systems, GenAI-powered chatbots and other applications, data quality dashboards, external data vending capabilities, bring-your-own-data integrations, and more. Working closely with data engineers, business intelligence engineers, data scientists and cross-functional partners across hardware, software, supply chain, manufacturing, and compliance teams, you'll create scalable solutions that democratize data access while maintaining robust security and governance.

The ideal candidate is a full-stack software engineer with a passion for building user-centric applications, strong ownership mentality, and excellent problem-solving skills. They communicate effectively with both technical and non-technical stakeholders, thrive in a fast-paced agile environment, and have experience building scalable web applications and APIs. Familiarity with data platforms and AWS services is highly valued.

Key job responsibilities
- Design, develop, and maintain full-stack web applications and portals that serve as the primary user interface for Data Hive, our centralized data platform
- Build self-service tools and automation frameworks that enable data producers to tag datasets with security classifications, export controls, and metadata
- Develop interactive data catalog and data dictionary features with advanced search, filtering, and discovery capabilities
- Architect and implement APIs and backend services to support data vending, bring-your-own-table functionality, and third-party integrations
- Integrate GenAI capabilities including chatbots and AI-powered assistants, and build user interfaces for ML model access
- Collaborate with software engineers and data engineers to design services that bridge user applications with underlying data infrastructure
- Implement authentication, authorization, and audit logging to ensure secure access and compliance with export control requirements

A day in the life
As a Senior Software Development Engineer, you'll design and build features that empower Amazon Leo teams to leverage data effectively. Your day might include architecting a new data catalog search capability, implementing backend APIs that integrate with AWS services, or developing frontend components for data quality dashboards. You'll collaborate with cross-functional partners to gather requirements, participate in sprint planning, technical design reviews, and…