Senior Software Engineer, Data

Ground operations are the backbone of aviation, yet they remain largely manual and fragmented. Moonware is changing that.

HALO, our flagship product, is used by airfield teams to optimize flight turnarounds. It serves as a centralized operating layer to manage and oversee tasks, communications, and performance. By enhancing operational visibility and control, HALO enables faster, more reliable, and standardized ground operations.

Our vision is to provide fully autonomous ground operations. HALO serves as the digital infrastructure to support that transition, connecting data, people, and machines to build toward automated airfields.

Moonware’s team combines aviation operations domain knowledge together with software and engineering expertise from top Silicon Valley tech companies. As we scale, we’re expanding the Moonware ecosystem to support the next generation of air transportation.

Moonware is seeking a hands-on, full-stack-minded Software Engineer to lead and own our data systems powering HALO. In this role, you’ll take end-to-end ownership of the entire development cycle: from ingesting and validating real-time data from devices and vendors to designing infrastructure, databases, and APIs that deliver trustworthy information s is not a backend-only role, it’s a deeply cross-functional position. You’ll work directly with ground crews, hardware vendors, and internal teams to architect, build, and maintain a reliable data platform that HALO and its users depend on every second.

Own all things data: ingestion pipelines, quality checks, real-time processing, storage, and delivery to downstream systems and apps

Work across the stack: write infrastructure-as-code, deploy ingestion services, build internal tools, and expose well-designed APIs

Collaborate with field users and vendors to understand edge cases, device quirks, and operational needs, then reflect those insights in technical design

Build scalable systems that ensure reliability and performance under extreme load

Ensure data integrity through automated testing, monitoring, and observability across the pipeline

Drive engineering best practices across CI/CD, cloud architecture, and observability

Continuously refine our data model to support growing use cases in mobility, autonomy, and coordination

4+ years of experience as a software or data engineer, preferably in a real-time or operational environment

Deep familiarity with building and operating data pipelines (e.g. Kafka, Airflow, Debezium, etc) and cloud-native infrastructure (e.g. AWS, GCP, Terraform)

Strong experience with SQL and No

SQL databases, schema design, and performance tuning

Proficient in one or more backend languages (Go, Java, or similar), and able to write clean, maintainable code

Experience exposing and consuming REST and/or gRPC APIs

A product mindset: you enjoy talking to users and vendors to deeply understand problems before solving them

Excellent problem-solving and communication skills

Comfortable working in startup environments with high ownership and autonomy

Aviation, autonomy, and mobility excite you

You like to rapidly iterate, learn on the fly, and wear many “hats”

You thrive in real-world, field-connected systems, not just clean data warehouse problems

Love leading technical teams to develop solutions for customers

Experience with real-time, event-driven systems (MQTT, Web Sockets, etc)

Background in aviation, mobility, IoT, or logistics

Previous experience at an early-stage startup

Experience with sensor data, GPS, or fleet telemetry