Quartermaster AI Inc
Quartermaster AI Inc

Full Stack Software Engineer

Arlington, VA, US • Posted 9 days ago • Updated 1 hour ago
Full Time
On-site
USD $160,000.00 - 210,000.00 per year
Fitment

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Job Details

Skills

  • Network
  • HD
  • Video
  • RF
  • Surveillance
  • Apache Velocity
  • Team Building
  • Web Portals
  • RESTful
  • Artificial Intelligence
  • Microservices
  • Fleet Management
  • Collaboration
  • Sensors
  • Software Engineering
  • React.js
  • JavaScript
  • TypeScript
  • Web Applications
  • Spring Framework
  • PostGIS
  • Relational Databases
  • Amazon Web Services
  • Amazon S3
  • Kubernetes
  • Continuous Integration
  • Continuous Delivery
  • Version Control
  • Git
  • Data Flow
  • Streaming
  • Media
  • Communication
  • Geospatial Analysis
  • Data Mapping
  • GL
  • WebSocket
  • Real-time
  • UI
  • Data Security
  • Machine Learning (ML)
  • High Availability

Summary

About Us

Quartermaster is building the world's most comprehensive maritime intelligence platform. Our SmartMast system transforms commercial and civilian vessels into a persistent, distributed sensing network-combining HD video, AI, radar, RF sensing, and AIS to deliver real-time maritime domain awareness at global scale. With 600+ sensors deployed across 25+ countries and more than 400,000 vessels identified outside of AIS, we are setting a new standard for what ocean surveillance and safety can look like. We are a mission-driven, high-velocity team building dual-use technology for defense agencies, coast guards, and commercial maritime operators. If you want your code to run on vessels crossing every ocean on earth, this is the place.

Job Description

We are looking for a Full Stack Software Engineer to help us build and scale the Quartermaster product-the operator-facing application used by defense analysts, coast guard operators, and commercial fleet managers to monitor, query, and act on maritime intelligence in real time. You will build and ship features end-to-end, from backend geospatial data layers to React components, translating complex real-time sensor data into clean, highly functional user experiences.

Key Responsibilities
  • Build, test, and ship full-stack features across our React web portal and Spring Boot backend services.
  • Develop and maintain versioned RESTful APIs that surface sensor data, vessel telemetry, and AI detection outputs to end users.
  • Deploy and maintain microservices running on AWS, ensuring service reliability and low latency under high-throughput data conditions.
  • Write and optimize PostGIS queries and data access patterns to support bulk artifact retrieval and map rendering across hundreds of vessels.
  • Build internal admin and fleet management tools that help our operations team configure, monitor, and support deployed SmartMast units.
  • Collaborate closely with our design team to implement pixel-precise UI components for data-dense map views and sensor visualizations.
Qualifications (Preferred)
  • 2-4 years of professional full-stack software engineering experience.
  • Strong command of React and modern JavaScript/TypeScript for building complex, stateful web applications.
  • Solid backend experience in Spring Boot; experience designing and building robust REST APIs.
  • Hands-on experience with PostGIS or relational databases; able to write performant queries and understand data schemas.
  • Working knowledge of AWS services (S3, Lambda, ECS/EKS) and deploying applications in containerized environments (Kubernetes).
  • Familiarity with CI/CD pipelines and a strong understanding of version control (Git).
  • Ability to read and reason about data flows involving real-time streams, media assets, and geospatial coordinates.
  • Strong written and verbal communication skills; comfortable collaborating across teams and working asynchronously.
  • Bonus Points:
    • Experience with geospatial data, mapping libraries (Mapbox, Leaflet, Deck.gl), or AIS/vessel tracking systems.
    • Familiarity with WebSockets or SSE for real-time UI updates.
    • Background in defense, maritime, or government software with exposure to data security requirements.
    • Experience integrating ML model outputs into user-facing product features.
Work Environment
  • This is a hybrid position, 3-days in office.
  • Flexible working hours with occasional deadlines requiring high availability.
  • Opportunity to work on innovative projects with a global impact.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 80184006
  • Position Id: e95d746c85c6373430214ee40db482c4
  • Posted 9 days ago
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