Software Development Engineer, Intelligence Data Services, Amazon Leo

Software Development Engineer, Intelligence Data Services, Amazon Leo

Job ID: 3115363 | Amazon Kuiper Manufacturing Enterprises LLC

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 DataHive, 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 Software Development Engineer, you will architect and implement full‑stack applications that serve as the gateway to DataHive. 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 DataHive, 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 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 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 conduct code reviews. You'll also work on integrating GenAI capabilities, troubleshooting production issues, and mentoring teammates on best practices for building scalable, user‑friendly applications.

About the team

Amazon Leo Intelligence Data Services (KIDS) team owns DataHive, a centralized data and analytics infrastructure that serves as the single source of truth, enabling teams to develop dashboards and insights that drive Amazon Leo's satellite production operations. The platform enforces stringent data governance with tagging and access controls, enhancing data discoverability and security. We're building the next generation of self‑service capabilities including data catalogs, quality monitoring, automated tagging, GenAI‑powered tools, and custom data integrations that make data accessible and actionable for all Amazon Leo teams.

Basic Qualifications

• 3+ years of non‑internship professional software development experience.
• 2+ years of non‑internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
• Experience programming with at least one software programming language.
• Experience in one or more relevant front‑end frameworks such as React, Angular, etc.
• Experience working with REST API based services.

Preferred Qualifications

• 3+ 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.
• Experience with data infrastructures: relational analytic DBMS, Elastic‑Search, and Big Data EMR/EC2/Glue/Lambda, or experience in software development.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.