Kolecto

eu1.hubs.ly

2 Jobs

64 Employees

About the Company

Kolecto est une solution de gestion digitale et humaine affiliée au Groupe Crédit Agricole qui simplifie, sécurise et améliore les finances des TPE/PME en conformité avec la nouvelle réglementation sur la facturation électronique.

Listed Jobs

Company Name: Kolecto
Job Title: Fullstack Software Engineer (H/F/X)
Job Description: **Job title:** Fullstack Software Engineer (H/F/X) **Role Summary:** Lead the design, development, and maintenance of scalable, secure full‑stack features for a fintech platform. Primarily focus on backend services while actively contributing to React‑based front‑end interfaces. Drive architectural evolution, ensure high code quality, and mentor junior developers within a collaborative, product‑driven environment. **Expactations:** - Deliver robust, maintainable code adhering to industry best practices. - Participate in full sprint cycle: design, implement, test, review, and deploy. - Continuously assess and improve platform performance, security, and quality. - Lead technical discussions with cross‑functional teams (Product, Front‑end, Mobile, Backend). - Champion best practices in code review, automated testing, and documentation. - Stay current on emerging technologies and recommend improvements. **Key Responsibilities:** - Design, implement, and scale backend APIs (TypeScript, Node.js, Serverless). - Build and maintain front‑end components with Next.js, React, TypeScript, Tailwind CSS. - Integrate cloud services (AWS SQS, EventBridge, S3, PostgreSQL). - Author comprehensive unit, integration, and end‑to‑end tests (Vitest, Playwright). - Conduct rigorous code reviews and enforce coding standards. - Develop monitoring solutions and troubleshoot production issues. - Mentor junior developers, sharing knowledge of patterns, testing, and architecture. - Collaborate with product owners to translate business requirements into technical solutions. - Participate in continuous improvement of tooling, workflows, and architecture decisions. **Required Skills:** - 5+ years in full‑stack development; strong backend focus. - Proficiency with TypeScript, Node.js, Serverless architectures. - Experience building responsive front‑end with React and Next.js. - Knowledge of state management, performance optimization, UX/UI principles. - Familiarity with cloud deployment, AWS services (SQS, EventBridge, S3). - Strong grasp of design patterns, SOLID principles, and clean code practices. - Ability to write and maintain automated tests (Vitest, Playwright). - Experience in API design, microservices, and event‑driven architectures (optional). - Excellent communication, collaboration, and mentorship abilities. - Proficiency in version control (Git) and CI/CD pipelines. **Required Education & Certifications:** - Bachelor’s degree (or higher) in Computer Science, Software Engineering, or related field. - Relevant certifications preferred (e.g., AWS Certified Developer, AWS Certified Solutions Architect).

Company Name: Kolecto
Job Title: Senior Data Scientist (H/F/X)
Job Description: Job title: Senior Data Scientist Role Summary: Own end‑to‑end data science projects to deliver high‑impact machine‑learning and GenAI solutions. Translate business objectives into measurable data‑science problems, design robust pipelines, and industrialise models for production. Lead continuous improvement of MLOps practices and mentor junior teammates. Expectations: 4–7 years of applied data‑science experience, preferably in a scale‑up, fintech, SaaS, or consulting setting. Proven track record of building and deploying ML projects from proof‑of‑concept to production. Familiarity with GenAI/LLM initiatives (RAG, fine‑tuning, optimisation) is a strong plus. Key Responsibilities: • Develop and productionise supervised, unsupervised, scoring, NLP and GenAI/LLM models that deliver business value. • Translate business needs into concrete, measurable data‑science problems. • Build end‑to‑end pipelines: data exploration, feature engineering, model training, testing, and deployment (API, CI/CD, MLOps). • Implement and maintain best‑practice MLOps workflows: reproducibility, versioning, monitoring, and documentation. • Collaborate with Product, Tech, Growth and Risk teams to ensure model relevance, adoption and performance. • Drive internal GenAI innovation (RAG, prompt design, fine‑tuning, safety, evaluation). • Share best practices and provide mentorship to junior data‑science staff. Required Skills: • Python programming; deep proficiency in scikit‑learn, XGBoost, PyTorch or equivalent. • MLOps expertise: API development, containerisation (Docker), CI/CD pipelines, monitoring, and MLOps tooling (MLflow, Git). • Strong understanding of modern LLM architectures, embeddings, RAG and GenAI workflows. • Solid grasp of data‑engineering fundamentals (data pipelines, feature stores). • Excellent analytical thinking and ability to translate complex business requirements into actionable data‑science solutions. Required Education & Certifications: • Bachelor’s or Master’s degree in Computer Science, Statistics, Machine Learning, Data Science, or related field. • Relevant certifications (e.g., TensorFlow Developer, AWS Certified Machine Learning, or similar) may be considered.