About the Role
We’re looking for a hands-on Lead Full-Stack & Quant Systems Engineer to help build the technology infrastructure behind a growing investment and technology business.
This role combines full-stack development, quantitative trading systems, AI integration, and technical ownership. You’ll work directly with the founder to turn ambitious ideas into reliable, production-ready software — from a polished public-facing website to an automated trading system and a central management platform.
The ideal candidate enjoys both high-level architecture and hands-on implementation, with an eye for visual detail and a strong understanding of backend systems, infrastructure, security, and real-time data.
What You’ll Do
- Refine the website’s design, functionality, responsiveness, and performance across desktop and mobile.
- Set up and integrate a quantitative trading system, connecting trading logic, market data, exchange APIs, and execution services.
- Build a central management application for monitoring:
- Trading positions
- Balances
- Performance
- System health
- Operational activity
- Implement essential trading controls such as exposure limits, alerts, audit logs, and emergency stop functionality.
- Integrate AI models and agents where they can provide practical value in analysis, automation, and internal workflows.
- Develop secure backend services, databases, authentication, and role-based access.
- Manage deployment, testing, monitoring, and ongoing technical improvements.
- Work directly with the founder to translate business and technical ideas into clear priorities and working software.
- Document your work and build maintainable systems that can evolve with the business.
What We’re Looking For
- Demonstrated experience building and shipping full-stack websites or applications.
- Strong JavaScript/TypeScript and Python skills.
- Experience with modern frontend frameworks and backend APIs.
- Strong understanding of databases, third-party integrations, real-time data, and asynchronous systems.
- Experience deploying and maintaining applications on Linux servers.
- Comfortable working with Git and container-based development/deployment workflows.
- Strong understanding of security when handling credentials, permissions, financial data, and sensitive operations.
- Excellent attention to detail and an eye for visual quality.
- Strong independent problem-solving and technical judgment.
- Clear communication and the ability to make sensible decisions around scope, reliability, and delivery.
Especially Valuable Experience
The following would be strong advantages:
- Experience with exchange APIs, automated trading, or financial platforms.
- Understanding of backtesting, paper trading, transaction costs, slippage, and execution reliability.
- Experience integrating LLMs, AI agents, or locally hosted AI models.
- Experience building interactive dashboards.
- Experience with advanced web animation or 3D web experiences.
What Success Looks Like
Success in this role means delivering:
- A polished, responsive, and reliable website.
- A quantitative trading system that can be tested, monitored, and controlled.
- A management application that makes complex trading and business operations easy to oversee.
- Well-documented, maintainable technology that can evolve as the business grows.
Why Join?
- Work directly with the founder and have meaningful input into core technical decisions.
- Take ownership across full-stack development, AI, infrastructure, and quantitative trading technology.
- See your work become a central part of the business.
- Opportunity to contribute to a broad technical environment rather than a narrowly defined engineering function.
- Contractor engagement with the possibility of transitioning to a full-time position with founder privileges, subject to mutual agreement.
Application
Please provide your CV or professional profile, along with links to relevant projects or GitHub repositories.
When applying, highlight:
- What you personally built and your level of ownership.
- Any experience with trading systems or financial technology.
- AI/LLM or agent integrations.
- Operational dashboards or management applications.
- Your availability.
- Your compensation expectations.