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Tech Stack
Tools & technologiesKubernetesPostgresPythonReactTypeScript
About the role
Key responsibilities & impact- Design, develop, and maintain fullstack features across our React frontends and our FastAPI backends.
- Develop backend services that ingest, persist, and serve data flowing from our edge pipeline (PostgreSQL, vector search, MQTT).
- Build and evolve real-time interfaces for video monitoring, investigation, and alert workflows including video playback, map-based geospatial views, and live event streams.
- Integrate with third-party Video Management Systems and customer infrastructures.
- Contribute to our shared TypeScript and Python libraries used across products.
- Care about performance, reliability, and security across the stack. Our products run in constrained, air-gapped, on-premise environments.
- Participate in architecture discussions, code reviews, and product planning. Push back on complexity, advocate for clean abstractions, and help raise the bar of the codebase.
- Collaborate closely with ML engineers to surface model outputs into product experiences that operators can actually trust and act on.
Requirements
What you’ll need- 5+ years of experience in fullstack development, with a track record of shipping production-grade web applications.
- Backend: solid experience with Python and FastAPI (or equivalent async Python frameworks).
- DB: strong experience with large PostgreSQL at scale: schema design, migrations, query performance.
- Frontend: strong expertise in React and TypeScript. Comfortable with modern tooling and writing maintainable, testable UI code.
- Good grasp of system design, REST API design, async programming, and the trade-offs of building real-time, event-driven systems.
- Pragmatic about engineering: writes the minimum code that solves the problem, prefers enhancing existing code over duplicating it, and is rigorous about types, tests, and code quality.
- Comfortable navigating a monorepo and a polyglot stack (TypeScript + Python).
- Familiar with AI tooling for the developer experience.
- Mission-driven, autonomous, and thrives in fast-paced environments.
- Fluency in French and English.
- Bonus
- Experience with real-time messaging (MQTT, WebSockets, SSE) or event-driven architectures.
- Experience with video (HLS/WebRTC, GStreamer, video player UX) or geospatial UIs.
- Experience operating services on Kubernetes or other containerized on-prem deployments.
- Experience integrating AI/ML models into product workflows (inference results, vector search, embeddings).
- Experience building software for on-premise or air-gapped deployments.
- Experience working on AI-native products or in the Public sector, Defense, or Internal Security sectors.
- Entrepreneurial or early-stage experience.
Benefits
Comp & perks- A Paris-based office with a flexible hybrid remote/in-office work model
- Stock options to share in the long-term success of the company
- The opportunity to work on state-of-the-art AI solutions with real-world applications in defense and public security
- A clear and ambitious mission, grounded in technical excellence and respect for data privacy laws
- A fast-paced startup atmosphere and collaboration with a highly skilled team.
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Hard Skills & Tools
fullstack developmentPythonFastAPIPostgreSQLReactTypeScriptREST API designasync programmingreal-time messagingKubernetes
Soft Skills
mission-drivenautonomousthrives in fast-paced environmentscollaborationcode qualitypragmatic engineeringsystem designadvocacy for clean abstractionsparticipation in architecture discussionscode reviews