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As Technical Lead for the Civil Aviation team, you will define the architectural foundations of a backend system that will operate at the center of U.S. air travel for the next decade and beyond. This isn't a greenfield experiment. 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. You'll set and enforce the design principles that keep complexity manageable as the system grows: strict module boundaries, clean abstractions, and interfaces that don't leak implementation details. You'll make the hard calls about what belongs where, and explain them clearly enough that your team internalizes the reasoning, not just the rule. You'll lead a small team of engineers while staying hands-on, guiding implementation from design through delivery. You'll collaborate closely with product, platform, and domain experts. Your north star is a system that remains comprehensible and extensible long after the initial build.
Job Responsibility:
Define the architectural foundations of a backend system that will operate at the center of U.S. air travel for the next decade and beyond
Set and enforce design principles that keep complexity manageable as the system grows
Lead a small team of engineers while staying hands-on, guiding implementation from design through delivery
Collaborate closely with product, platform, and domain experts
Requirements:
Strong 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 real-time or near-real-time data pipelines where latency and correctness are both constraints, not trade-offs
Experience with data integration, data storage, data processing, and data modeling systems
Experience with AWS and cloud-native architectures
Experience leading small engineering teams (~3 - 8 engineers) while remaining hands-on
Ability to own systems end-to-end, from design through production operation
Track record of setting technical direction and driving execution across projects or product areas
Strong ability to navigate complex, multi-system environments with evolving data models
High bar for engineering quality, reliability, and operational excellence
Strong collaboration skills and ability to work across teams in a mission-critical environment
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