Junior Full-Stack Developer at Milaris Partners in Paris working on technological solutions for complex financial operations. Collaborate in a dynamic international environment with modern technologies.
Responsibilities
Develop and optimize new features for our internal web application built with React.
Design and maintain back-end services and APIs using Node.js.
Integrate data extraction tools, evaluation models and M&A-oriented utilities into a knowledge-graph-centered architecture.
Contribute to the platform’s architecture, performance and scalability, leveraging Graphiti and knowledge graph technologies to model and query complex datasets.
Improve the overall UX/UI experience through close collaboration with business teams.
Participate in technical discussions about architecture, best practices and the platform roadmap.
Requirements
You are proficient in React (ideally TypeScript) and have experience with Python (data handling, APIs, scripting).
You have experience with Node.js for building APIs or back-end services.
You are familiar with or eager to learn knowledge graph technologies and graph-oriented data modeling (e.g., Graphiti, RDF, SPARQL, etc.).
You enjoy solving problems, designing internal tools from scratch and thinking from the user’s perspective.
You are autonomous, curious, detail-oriented and able to collaborate effectively in a professional environment.
Additional asset (optional): an interest in finance, M&A or building internal tools for consulting workflows.
Benefits
High-impact experience: active participation in the development of a strategic internal platform for a leading investment bank.
Modern technologies: daily work with React (TypeScript), Node.js, Python, Graphiti and knowledge graph technologies.
Real responsibility from day one, with a high degree of autonomy and the opportunity to see your contributions go into production quickly.
International and stimulating environment, working with cross-functional (finance/M&A) and multicultural technical teams.
Accelerated learning opportunities with guidance and mentorship on software architecture, best practices and data engineering.
Exposure to diverse challenges: data engineering, performance, scalability, UX/UI and consulting-oriented internal tools.
Entrepreneurial, results-driven culture where personal initiative is valued and encouraged.
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