The Role
We are seeking a Full Stack Software Engineer to join our IT team and work closely with our Data Scientist to transform analytical models, machine learning solutions, and business requirements into production-ready applications. You will be responsible for designing and building scalable, microservices-based systems with a Python backend and Next. js frontend that power our internal tools and operational platforms.
Key Responsibilities
- Collaborate directly with the Data Science team to produce ML models, pricing engines, and forecasting systems.
- Design, develop, and maintain microservices architectures that are scalable, maintainable, and well-documented.
- Build robust REST and/or GraphQL APIs in Python to expose data science capabilities to internal applications.
- Develop responsive, intuitive frontend interfaces using Next .js (React) for internal users across operations, sales, and finance.
- Implement data pipelines and integrations that connect models to live operational data.
- Ensure code quality through testing, code reviews, and CI/CD best practices.
- Work with databases (SQL and NoSQL) to manage application data and model outputs.
- Contribute to the architecture of proprietary MCP servers and AI-powered tools.
- Participate in technical planning, sprint cycles, and cross-functional collaboration.
Required Qualifications
- Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
- Strong proficiency in Python for backend development (FastAPI, Flask, or Django).
- Solid experience with JavaScript/TypeScript and Next. js (or React).
- Demonstrated experience building microservices or service-oriented architectures.
- Familiarity with RESTful API design and integration patterns.
- Experience with relational databases (PostgreSQL, MySQL) and query optimization.
- Understanding of version control (Git) and collaborative development workflows.
- Ability to translate technical requirements from data science into clean, production-grade code.
- Strong communication skills and a collaborative mindset.
- This position is 100% on site
Sueldo: Hasta $50,000.00 al mes
Beneficios:
- Días por enfermedad
- Seguro de gastos médicos mayores
Lugar de trabajo: Empleo presencial
