Software Development Engineer, Kuiper Data Platform

Amazon • Redmond, WA

1d

About The Position

This role is for a Software Development Engineer who will design, implement, and operate globally distributed systems that enable Leo to achieve low single-digit-second query responses within a near real-time analytics layer or lakehouse, and to support agentic AI capabilities on top. You’ll build these systems using the latest AWS technologies and best-in-industry software engineering practices.

This role is for a Software Development Engineer who will build new cloud services and APIs that facilitate and orchestrate the Leo AI Foundations - enabling intelligent software operation across Leo devices such as satellites, ground gateways, and customer terminals. You will design and deliver low-latency, highly scalable architectures that are critical to providing high-quality internet service, operational insights, and AI capabilities to customers.

Our team will design, implement and operate the systems that direct the Kuiper network to optimize and manage throughput and quality of services. These systems include Low Earth Orbit satellites, customer terminals, gateways, Cloud services and terrestrial network infrastructure that connects into public and private networks.

Requirements

• 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
• 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
• Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design

Nice To Haves

• 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 or equivalent

Responsibilities

• Architect and implement a scalable, cost-performance-optimized OLAP-based analytics layer.
• Architect a centralized metrics repository that becomes the source of truth for all Leo metrics.
• Establish metadata management with automated data classification and lineage tracking.
• Design and enforce standardized data ingestion patterns with built-in quality controls and validation gates.
• Design extensible metrics schemas that support complex analytical queries while optimizing for AI retrieval patterns.
• Design semantic data models that balance analytical performance with AI retrieval requirements.
• Implement robust data quality frameworks with staging-first policies and automated validation pipelines.
• Develop intelligent orchestration for metrics generation workflows with comprehensive audit trails.
• Implement cross-domain federated query capabilities with sophisticated query optimization techniques.
• Implement hybrid search strategies combining dense vectors with sparse representations for optimal semantic retrieval.
• Establish automated compliance validation frameworks ensuring data handling meets Amazon's security standards.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level