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Job DescriptionJob Description
Senior Software Engineer Data
Location: Santa Monica, CA (Onsite)
Position Type: Full-Time (Permanent)
Work Policy: In-Person
Start Timeline: ASAP
About
A high-growth aviation tech startup building the future of airside operations through an integrated AI ecosystem that connects ramp crews, vehicles, and aircraft. Their flagship product, HALO, is the world’s first AI-powered Ground Traffic Control platform, automating and streamlining aircraft turnaround processes. With multi-million dollar contracts across commercial and defense sectors, they are modernizing aviation logistics to maximize efficiency and reduce delays. The engineering team operates with high autonomy and focuses on building quickly, learning rapidly, and owning outcomes end-to-end.
Why join
Join a high-growth aviation tech startup solving real-world operational problems
Build foundational data infrastructure for the first-ever AI Ground Traffic Control platform
Experience a startup environment with strong ownership and product influence
Competitive compensation and equity, full medical benefits, catered lunches, and global travel to airfields
Compensation Base Salary: $180,000 - $200,000 Equity: Competitive Visa Sponsorship: Not available Tech environment : Go, Java (or similar backend ) Frameworks/Systems:
Kafka, Airflow, Debezium Infrastructure: AWS, GCP, Terraform Databases: SQL and NoSQL databases APIs: REST, gRPC Other: Real-time, event-driven systems (MQTT, WebSockets) Role summary Seeking a cross-functional Senior Software Engineer Data to take end-to-end ownership of HALO’s real-time data platform. This includes ingesting and processing data from ground equipment and sensors, architecting infrastructure and APIs, and collaborating directly with hardware vendors, end users, and internal teams. This is a full-stack role focused on high-throughput, low-latency systemsnot a backend-only position. Responsibilities Own the full data lifecycle: ingestion, validation, processing, storage, and delivery
Build infrastructure-as-code and deploy scalable ingestion services
Design and expose well-structured REST and gRPC APIs
Collaborate with vendors and operations teams to resolve field-level edge cases
Maintain high reliability, performance, and observability across systems
Ensure data integrity through testing and real-time monitoring
Lead CI/CD practices and improve system scalability and uptime
Must-have qualifications 4+ years of experience as a software or data engineer
Deep experience building and operating data pipelines (Kafka, Airflow, Debezium, etc.)
Familiarity with cloud- infrastructure (AWS, GCP, Terraform)
Strong command of SQL and NoSQL databases, including schema design and tuning
Proficient in Go, Java, or similar backend
Experience with REST and/or gRPC APIs
Strong product sensecomfortable working directly with users and vendors
Excellent communication and problem-solving skills
Startup experience with high autonomy and cross-functional collaboration
Must be based in or willing to relocate to Los Angeles (on-site role)
qualifications Experience with real-time, event-driven systems (e.g., MQTT, WebSockets)
Background in aviation, mobility, IoT, logistics, or fleet telemetry
Prior experience at an early-stage VC-backed startup
Experience with GPS, sensor, or telematics data systems
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Build foundational data infrastructure for the first-ever AI Ground Traffic Control platform
Experience a startup environment with strong ownership and product influence
Competitive compensation and equity, full medical benefits, catered lunches, and global travel to airfields
Compensation Base Salary: $180,000 - $200,000 Equity: Competitive Visa Sponsorship: Not available Tech environment : Go, Java (or similar backend ) Frameworks/Systems:
Kafka, Airflow, Debezium Infrastructure: AWS, GCP, Terraform Databases: SQL and NoSQL databases APIs: REST, gRPC Other: Real-time, event-driven systems (MQTT, WebSockets) Role summary Seeking a cross-functional Senior Software Engineer Data to take end-to-end ownership of HALO’s real-time data platform. This includes ingesting and processing data from ground equipment and sensors, architecting infrastructure and APIs, and collaborating directly with hardware vendors, end users, and internal teams. This is a full-stack role focused on high-throughput, low-latency systemsnot a backend-only position. Responsibilities Own the full data lifecycle: ingestion, validation, processing, storage, and delivery
Build infrastructure-as-code and deploy scalable ingestion services
Design and expose well-structured REST and gRPC APIs
Collaborate with vendors and operations teams to resolve field-level edge cases
Maintain high reliability, performance, and observability across systems
Ensure data integrity through testing and real-time monitoring
Lead CI/CD practices and improve system scalability and uptime
Must-have qualifications 4+ years of experience as a software or data engineer
Deep experience building and operating data pipelines (Kafka, Airflow, Debezium, etc.)
Familiarity with cloud- infrastructure (AWS, GCP, Terraform)
Strong command of SQL and NoSQL databases, including schema design and tuning
Proficient in Go, Java, or similar backend
Experience with REST and/or gRPC APIs
Strong product sensecomfortable working directly with users and vendors
Excellent communication and problem-solving skills
Startup experience with high autonomy and cross-functional collaboration
Must be based in or willing to relocate to Los Angeles (on-site role)
qualifications Experience with real-time, event-driven systems (e.g., MQTT, WebSockets)
Background in aviation, mobility, IoT, logistics, or fleet telemetry
Prior experience at an early-stage VC-backed startup
Experience with GPS, sensor, or telematics data systems
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