Join Specter as a full stack engineer to build and scale applications for real-time physical intelligence.
Posted by employer 9 months ago
First seen on Joblaze 1 hour ago
Last verified on the company career page 1 hour ago
Skills & Technologies
What you'll build
- Design and implement scalable full-stack web applications
- Build high-performance APIs and data models
- Develop rich, reactive dashboards and control interfaces
- Integrate real-time updates into front-end components
- Own end-to-end feature development
Must have
- Deep experience with React, TypeScript
- Strong backend experience with Node.js or Python
- Expertise in TanStack for state management
- Familiarity with WebSockets, GraphQL
- Experience building applications in Docker or Kubernetes
Nice to have
- Experience visualizing spatial, temporal, or operational data
- Interest in physical AI, IoT, or large-scale distributed sensing systems
AI in the day-to-day
Our systems can automatically detect and reason about any physical activity captured on camera.
Not disclosed in this posting: compensation, seniority, years of experience, work arrangement, visa sponsorship.
Joblaze summary
In this role, the full stack engineer at Specter develops and scales applications that enable users to interact with real-time physical intelligence through intuitive interfaces and APIs. Key skills include proficiency in React, TypeScript, and PostgreSQL, along with backend experience in Node.js or Python. This position is ideal for someone with a strong background in modern web app development and a keen interest in physical AI and IoT. Specter's small, fast-growing team emphasizes collaboration and innovation in the realm of distributed sensing systems.
Joblaze insights
- Listed today — first seen on Joblaze October 26, 2026. Last confirmed on Specter's careers page October 26, 2026.
- React appears in 67.9% of 564 comparable fullstack roles in United States; WebSockets appears in 0.9% of 564 comparable fullstack roles in United States.
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Docker, GraphQL, Kubernetes, Node.js, PostgreSQL, Python.
- Is this full-time or contract?
- Full-time for this Software Engineer - Full Stack role at Specter.
From the original posting
The Role
Specter is hiring a full stack engineer to build and scale the applications that bring our sensing and perception platform to life. You'll be responsible for developing intuitive, high-performance interfaces and APIs that connect users to a world of real-time physical intelligence, spanning video, sensor data, and alerts across our distributed infrastructure. This role bridges Specter's cloud infrastructure and customer-facing experiences, owning the reliability, performance, and usability of the software surfaces that define how operators interact with the physical world.
Responsibilities:
Design and implement scalable full-stack web applications that visualize live sensor and video data.
Build high-performance APIs and data models in PostgreSQL, ensuring low-latency reads and writes for time-series and event data.
Develop rich, reactive dashboards and control interfaces using React, TypeScript, and TanStack Query/Router/Table.
Integrate real-time updates from WebSockets, Kafka streams, or REST APIs into intuitive front-end components.
Collaborate cross-functionally to optimize performance across the edge–cloud pipeline.
Implement secure authentication, role-based access control, and enterprise-grade user management.
Own end-to-end feature development (from schema design to front-end polish) in mission-critical applications.
Qualifications:
Deep experience with React, TypeScript, and modern web app patterns (hooks, context, component-driven design).
Strong backend experience with Node.js or Python, and relational database design in PostgreSQL.
Expertise in TanStack (Query, Router, Table) for state management, data synchronization, and UI responsiveness.
Familiarity with WebSockets, GraphQL, or real-time event delivery systems.
Experience building and deploying applications in Docker or Kubernetes environments.
Solid understanding of data modeling, caching, and API performance optimization.
Experience visualizing spatial, temporal, or operational data (e.g., with Mapbox, Recharts, D3).
Interest in physical AI, IoT, or large-scale distributed sensing systems.
Standard company text repeated across Specter's postings is omitted here.