Full-Stack Developer (Part-Time, Equity-Only)

About Qompyl Qompyl is an early-stage fintech startup building a mobile-first, hands-on, visual, and gamified strategy builder that empowers traders to create and refine trading strategies with ease. Our goal is to make advanced financial tools simple, intuitive, and accessible — closing the gap between complex market data and real decision-making. We are a global, async-first, part-time team that values autonomy, clarity, collaboration, and thoughtful communication. Learn more at qompyl.com Role Overview We’re looking for a Full-Stack Developer who can primarily lead back-end development while contributing to front-end features when needed. You’ll design and build scalable systems for a next-generation strategy-building platform, including high-performance APIs, real-time data services, and seamless integrations across the stack. This is a part-time, equity-only role suited for someone seeking a meaningful side engagement alongside full-time work or consulting projects. Key Responsibilities Design, develop, and maintain back-end systems using Python, FastAPI, SQLAlchemy, and PostgreSQL. Build and optimize RESTful APIs, WebSocket integrations, and real-time data services. Integrate financial data providers (Alpaca, Yahoo Finance, Alpha Vantage) for live and historical data. Improve performance across large datasets, strategy simulations, and live market flows. Contribute to front-end development using React and TypeScript. Participate in data modeling, schema design, and platform architecture. Build and maintain containerized applications using Docker and collaborate via Azure DevOps for pipelines and sprints. Maintain clear documentation, code quality, and Git/GitHub workflows in a global async-first environment. Foster a healthy, respectful, and collaborative team culture. Requirements Strong experience with Python, FastAPI, SQLAlchemy, and relational databases (PostgreSQL preferred). Familiarity with Pydantic, RESTful API design, WebSockets, and real-time data patterns. Exposure to React and TypeScript for occasional front-end contributions. Ability to integrate external APIs and work with financial data providers. Solid understanding of Git, documentation practices, and collaborative workflows. Experience with Docker; familiarity with CI/CD or Azure DevOps is a plus. Comfortable working in a remote, async, high-ownership environment. Curious, adaptable, and motivated to build tools that simplify complex workflows. 💡 Please Note — Equity-Only Structure This is a part-time, equity-only role, suitable as a side engagement alongside a primary job or consulting work. The position will transition to compensated status after the MVP launch and once funding or sustainable revenue is secured. If you're excited about joining an early-stage mission-driven startup and helping build a next-generation trading platform, we’d love to hear from you. Please submit your application here:https://app.dover.com/apply/Qompyl/0f6685a1-2123-4526-b921-fc195807ebce?rs=65618259

The Full-Stack Developer will design, develop, and maintain back-end systems while also contributing to front-end features as needed. Responsibilities include building scalable systems, optimizing APIs, and integrating financial data providers.

Candidates should have strong experience with Python, FastAPI, and relational databases, along with familiarity in front-end technologies like React and TypeScript. The role requires the ability to integrate external APIs and work in a remote, async environment.

• PostgreSQLPreferred
• ReactPreferred
• TypeScriptPreferred

Identified from the job description. Confirm important requirements above.

• Python
• FastAPI
• SQLAlchemy
• PostgreSQL
• RESTful APIs
• WebSockets
• React
• TypeScript
• Docker
• CI/CD
• Azure DevOps
• Git
• Documentation
• Data Modeling
• Schema Design
• Platform Architecture

• Technology
• Finance & Accounting
• Software

Minimum experience

2+ years

Posting language

English

Working hours

40 hours per week

Location requirements

Country, Argentina

Application method

Direct apply is available