top of page

LEAD FULL-STACK SOFTWARE ENGINEER

LOCATION

 Montana

​​

or

​

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.

​

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.

​

If you love nature, wild places, and meaningful engineering work, you’ll thrive here.

Role Overview

 

As the Lead Full-Stack Engineer, you will:

​

  • Own and lead development of the Grizzly Systems portal, transforming the existing prototype into a scalable, secure, intuitive platform.

  • Work closely with electrical engineers and firmware developers to integrate the portal with GrizCam telemetry, firmware, acoustic sensors, 360° video, and environmental data streams.

  • Architect and implement multi-modal AI pipelines, including deep integration with Gemini for audio, video, and sensor-based alerting.

  • Support and help advance our real-time gunshot detector—a critical tool used to deter poaching and protect wildlife and public lands.

  • Build systems that can scale from dozens to thousands of deployed devices across challenging, off-grid environments.

  • Shape the full engineering direction of Grizzly Systems as a founding technical leader.

Key Responsibilities

Portal Engineering & Full-Stack Development

  • Lead all software architecture for the Grizzly Systems portal (frontend, backend, API design, cloud services, databases).

  • Elevate our prototype into a robust production system with secure authentication, role-based access, mapping tools, integrated audio/video exploration, and fleet management.

  • Build intuitive UIs for AI alerts, wildlife detections, gunshot events, and environmental monitoring.

​

Firmware & Device Integration

  • Develop services with our firmware engineers enabling two-way communication with GrizCam:

    • OTA firmware updates

    • Event ingestion

    • Device health reporting

    • Onboard AI status syncing

  • Engineer cloud–edge workflows that remain reliable in low-connectivity conditions.

​

AI & Multi-Modal Intelligence

  • Integrate Gemini-based models for multi-modal analysis (audio, video, LLM-based reasoning).

  • Implement pipelines for real-time acoustic detection (wolf howls, vehicles, gunshots, human speech), thermal/video recognition, and sensor fusion.

  • Work with field scientists to tune accuracy and reduce false positives.

​

Data Storage, NoSQL & Infrastructure

  • Architect and optimize data flows for high-volume events across audio, video, and environmental sensors.

  • Build and maintain NoSQL systems suited to large, heterogeneous datasets (e.g., DynamoDB, Firestore, MongoDB, or equivalent).

  • Design data models for long-term archival, fast retrieval, and cross-sensor correlation.

​

DevOps & Deployment

  • Own CI/CD, infrastructure-as-code, monitoring, and observability.

  • Ensure high reliability in rugged, distributed device networks.

​

Leadership & Collaboration

  • Mentor engineers, establish best practices, and influence product direction.

  • Work closely with conservation partners, law enforcement, wildlife researchers, and landowners who rely on GrizCam in the field.

Setup a time to meet with our CEO Jeff Reed and talk about you and your interest in making a difference at Grizzly Systems.

GrizCam0291_edited.png

You Matter

Required Qualifications

  • 5+ years of full-stack engineering experience with demonstrated technical leadership.

  • Expertise in modern web stack technologies (TypeScript, React, Node.js, Python or equivalents).

  • Strong backend experience building secure APIs, microservices, and event-driven architectures.

  • Hands-on experience with NoSQL data systems.

  • Experience integrating with hardware, IoT devices, or embedded systems.

  • Familiarity with multi-modal AI (audio, video, transformer models).

  • Comfortable working across frontend, backend, cloud, and DevOps.

​

Preferred Qualifications

  • Real-time event processing (Kafka, Pub/Sub, EventBridge, MQTT).

  • Geospatial visualization (Mapbox, Leaflet).

  • Edge AI or low-power embedded ML experience.

  • Audio DSP or computer vision experience.

  • Previous work in conservation tech, public safety, security systems, or environmental sensing.

​

Who You Are

  • You love nature, wild places, and the idea of building technology that protects them.

  • You want your engineering skill to make a clear difference in the world—supporting wildlife conservation, deterring poaching, and improving land stewardship.

  • You enjoy cross-disciplinary challenges spanning hardware, software, AI, and field operations.

  • You want to be part of an early-stage team shaping a platform that blends rugged hardware with frontier AI.

  • You take ownership, move fast, and build clean, scalable systems.

Our Vision

A Personal Message from Jeff, our CEO

bottom of page