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1 день назад

Senior Fullstack Software Engineer (Maritime AI)

210 000 - 260 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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