LEAD FULL-STACK SOFTWARE ENGINEER
LOCATION
Montana
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or
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Remote
EMPLOYMENT TYPE
Permanent
Grizzly Systems builds intelligent monitoring systems for the wild, off-grid world. Our flagship product, GrizCam, combines 360° video, multi-directional audio, environmental sensors, and edge AI to deliver real-time intelligence for conservation, security, and wildlife protection. Our devices support field teams everywhere from Yellowstone to the Amazon—detecting wildlife, stopping poaching, and helping land stewards see what matters.
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We’re hiring a Lead Full-Stack Engineer to own our software portal, rollout v2 to production, and build next-gen analytics and AI features—including multi-modal Gemini integration and our real-time gunshot detector used to deter poaching.
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If you love nature, wild places, and meaningful engineering work, you’ll thrive here.
Role Overview
As the Lead Full-Stack Engineer, you will:
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Own and lead development of the Grizzly Systems portal, transforming the existing prototype into a scalable, secure, intuitive platform.
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Work closely with electrical engineers and firmware developers to integrate the portal with GrizCam telemetry, firmware, acoustic sensors, 360° video, and environmental data streams.
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Architect and implement multi-modal AI pipelines, including deep integration with Gemini for audio, video, and sensor-based alerting.
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Support and help advance our real-time gunshot detector—a critical tool used to deter poaching and protect wildlife and public lands.
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Build systems that can scale from dozens to thousands of deployed devices across challenging, off-grid environments.
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Shape the full engineering direction of Grizzly Systems as a founding technical leader.
Key Responsibilities
Portal Engineering & Full-Stack Development
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Lead all software architecture for the Grizzly Systems portal (frontend, backend, API design, cloud services, databases).
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Elevate our prototype into a robust production system with secure authentication, role-based access, mapping tools, integrated audio/video exploration, and fleet management.
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Build intuitive UIs for AI alerts, wildlife detections, gunshot events, and environmental monitoring.
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Firmware & Device Integration
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Develop services with our firmware engineers enabling two-way communication with GrizCam:
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OTA firmware updates
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Event ingestion
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Device health reporting
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Onboard AI status syncing
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Engineer cloud–edge workflows that remain reliable in low-connectivity conditions.
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AI & Multi-Modal Intelligence
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Integrate Gemini-based models for multi-modal analysis (audio, video, LLM-based reasoning).
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Implement pipelines for real-time acoustic detection (wolf howls, vehicles, gunshots, human speech), thermal/video recognition, and sensor fusion.
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Work with field scientists to tune accuracy and reduce false positives.
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Data Storage, NoSQL & Infrastructure
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Architect and optimize data flows for high-volume events across audio, video, and environmental sensors.
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Build and maintain NoSQL systems suited to large, heterogeneous datasets (e.g., DynamoDB, Firestore, MongoDB, or equivalent).
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Design data models for long-term archival, fast retrieval, and cross-sensor correlation.
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DevOps & Deployment
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Own CI/CD, infrastructure-as-code, monitoring, and observability.
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Ensure high reliability in rugged, distributed device networks.
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Leadership & Collaboration
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Mentor engineers, establish best practices, and influence product direction.
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Work closely with conservation partners, law enforcement, wildlife researchers, and landowners who rely on GrizCam in the field.
You Matter
Required Qualifications
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5+ years of full-stack engineering experience with demonstrated technical leadership.
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Expertise in modern web stack technologies (TypeScript, React, Node.js, Python or equivalents).
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Strong backend experience building secure APIs, microservices, and event-driven architectures.
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Hands-on experience with NoSQL data systems.
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Experience integrating with hardware, IoT devices, or embedded systems.
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Familiarity with multi-modal AI (audio, video, transformer models).
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Comfortable working across frontend, backend, cloud, and DevOps.
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Preferred Qualifications
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Real-time event processing (Kafka, Pub/Sub, EventBridge, MQTT).
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Geospatial visualization (Mapbox, Leaflet).
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Edge AI or low-power embedded ML experience.
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Audio DSP or computer vision experience.
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Previous work in conservation tech, public safety, security systems, or environmental sensing.
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Who You Are
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You love nature, wild places, and the idea of building technology that protects them.
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You want your engineering skill to make a clear difference in the world—supporting wildlife conservation, deterring poaching, and improving land stewardship.
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You enjoy cross-disciplinary challenges spanning hardware, software, AI, and field operations.
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You want to be part of an early-stage team shaping a platform that blends rugged hardware with frontier AI.
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You take ownership, move fast, and build clean, scalable systems.
Our Vision
A Personal Message from Jeff, our CEO


