Senior Software Development Engineer,FLY Capacity Manager Job Factoria Washington USA,IT/Tech

Location: Factoria

Senior Software Development Engineer, FLY Capacity Manager

Job : | Services LLC

The Air Science and Technology (AST) team is seeking a Senior Software Development Engineer (SDE-III) to own the technical direction of Caps Manager and Fly Forecaster — two interconnected systems at the heart of Amazon Air's capacity planning and allocation. Caps Manager governs how much volume can be assigned to each flight and integrates with downstream systems like ATROPS to influence real-time order-to-flight assignment.

Fly Forecaster predicts future cargo demand across the network, enabling proactive capacity decisions that balance cost efficiency with delivery speed. Together, these systems support both 1P (AFN) and 3P cargo operations across North America and Europe.

The ideal candidate is a seasoned technical leader who can operate across ambiguous problem spaces, influence without authority, and deliver results through others. You'll set the technical bar for the team — defining best practices, mentoring engineers, and making high-judgment calls on architecture, scalability, and operational excellence. You balance long-term technical vision with the pragmatism needed to ship in a fast-paced environment where time to market is critical.

A

day in the life

Own the end-to-end architecture for Caps Manager and Fly Forecaster — including the API layer, workflow engine, cap calculation logic, ULD allocation algorithms, forecasting pipelines, and data integrations that feed downstream capacity systems

Drive the evolution of the cap allocation model from volume-only to dimension-aware, enabling support for weight-based capping, non-stackable cargo, and 3P commingling use cases

Architect and scale the forecasting platform — ensuring demand predictions are accurate, timely, and actionable for capacity planning decisions across the network

Design the feedback loop between Forecaster and Caps Manager — where forecast outputs inform cap-setting, and actual utilization data feeds back to improve forecast accuracy

Architect the integration layer between Caps Manager and partner systems (ATROPS, Air Tech Cargo Route Service , Amazon Freight, KESSEL, TVP) — defining API contracts, data freshness SLAs, and fallback behavior

Lead the Cap & Release program's technical implementation — designing event-driven cap release mechanisms that optimize flight utilization while preventing overbooking; identify and drive foundational improvements to reduce operational burden, improve system resilience, and eliminate tech debt across the existing allocation and forecasting logic

Partner with Air Science, product managers, and operations teams to translate complex business constraints (DG, load plan feasibility, seasonal demand patterns, pure vs. mixed containers) into well-scoped technical solutions

Own operational excellence for both domains — driving availability targets, reducing high-sev ticket volume, and building self-healing mechanisms that reduce on-call toil

Mentor and grow SDE-I and SDE-II engineers on the team, helping them develop technical depth, system design skills, and operational judgment

Basic Qualifications

5+ years of non-internship professional software development experience
5+ years of programming with at least one software programming language
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems
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
Experience designing and building large-scale systems in a multi-tiered, distributed environment (Service Oriented Architecture)
Experience with capacity management, forecasting systems, resource allocation, or optimization platforms (preferred but not required)
Comfort working at the intersection of software engineering and data/science — you don't need to build ML models, but you should be able to architect the systems that serve and operationalize them
Track record of…