Senior Fullstack Software Engineer (Maritime AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Fullstack Software Engineer (Maritime AI): Building and scaling the operator-facing maritime intelligence platform with an accent on geospatial data fusion, real-time telemetry, and complex UI visualizations. Focus on architecting scalable microservices, optimizing PostGIS performance, and delivering high-impact features for defense and commercial maritime operators.
Location: Must be based in or able to work from Arlington, VA or New York, NY (Hybrid)
Salary: $210,000 – $260,000
Company
is a mission-driven startup developing the SmartMast™ maritime intelligence platform, utilizing distributed sensors and AI to provide global ocean surveillance for defense and commercial sectors.
What you will do
- Design and ship full-stack features across React web portals and Spring backend services.
- Develop versioned RESTful APIs to surface sensor data, vessel telemetry, and AI detection outputs.
- Architect and evolve microservices on AWS to ensure reliability and low latency.
- Optimize PostGIS queries for map rendering, time-series analysis, and bulk artifact retrieval.
- Build internal tools for operations teams to monitor and support deployed sensor units.
- Collaborate with design to implement pixel-precise UI components for data-dense map views.
Requirements
- 5+ years of professional full-stack software engineering experience.
- Strong command of React and modern JavaScript/TypeScript.
- Solid backend experience with Spring Boot and REST API design at scale.
- Hands-on experience with PostGIS and performant database schema design.
- Working knowledge of AWS services (S3, Lambda, ECS/EKS) and infrastructure-as-code.
- Experience with microservices, containerization, and CI/CD pipelines.
Nice to have
- Experience with geospatial data and mapping libraries like Mapbox, Leaflet, or Deck.gl.
- Familiarity with WebSockets or SSE for real-time updates.
- Background in defense, maritime, or government software.
- Experience integrating ML model outputs into user-facing features.
Culture & Benefits
- High-velocity startup atmosphere with significant engineering autonomy.
- Distributed team environment supporting asynchronous work.
- Flexible working hours.
- Equity compensation package.
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