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As a Software Engineer for the Civil Aviation team, you will design and build a backend system that will operate at the center of U.S. air travel for the next decade and beyond. This is a platform that needs to be right the first time and maintainable by future engineers who had no hand in building it. The core technical challenge is data fusion at operational scale: ingesting disparate, noisy, and potentially conflicting data streams, from radar, flight plans, weather systems, operator inputs, and more, and resolving them into a single, authoritative view of the world. From there, the system projects that state forward in time, enabling optimization across a complex set of competing conditions and constraints. The person in this role needs to have strong intuitions about how to model uncertainty, how to reason about data provenance and confidence, and how to build systems that degrade gracefully when inputs are incomplete or wrong.
Job Responsibility:
Design and build a backend system that will operate at the center of U.S. air travel for the next decade and beyond
Data fusion at operational scale: ingesting disparate, noisy, and potentially conflicting data streams, from radar, flight plans, weather systems, operator inputs, and more, and resolving them into a single, authoritative view of the world
Project that state forward in time, enabling optimization across a complex set of competing conditions and constraints
Requirements:
Experience building production-grade backend or distributed systems where strong design principles make the difference in maintainability, scalability, and performance
Proficiency in at least one modern programming language. We work in Rust and Python and expect you to have the foundation to quickly learn these languages
Experience with data integration, data storage, data processing, and data modeling systems
Experience with AWS and cloud-native architectures
Ability to work in complex, multi-system environments with evolving data models
Strong collaboration skills and comfort working across teams in a mission-critical environment
Proficient in leveraging modern LLM tools to accelerate development workflows and enhance code quality
Nice to have:
Exposure to high-availability systems (e.g., “four nines” reliability) is a strong plus
Domain experience in aviation, mapping, geospatial systems, or any field where the physical world is the source of truth and data is always an approximation of it is a strong plus