Gloify - Python Developer - Loan Origination Systems (3-4 yrs)

Key Responsibilities - Develop, maintain, and optimize fintech applications with a focus on Loan Origination Systems (LOS). - Build and manage backend services using Python (Django/FastAPI/Flask), ensuring high performance, scalability, and security. - Develop responsive front-end applications using React.js/Angular and modern JavaScript - frameworks. - Design and optimize RESTful APIs and GraphQL endpoints for seamless integration with frontend and third-party services. - Implement authentication, authorization, and security best practices (OAuth, JWT, RBAC). - Work closely with product managers, designers, and other engineers to translate business requirements into technical solutions. - Ensure code quality, conduct code reviews, and implement unit and integration tests. - Optimize databases and queries using PostgreSQL, MySQL, or NoSQL solutions like MongoDB. - Deploy and manage applications in cloud environments like AWS, GCP, or Azure. - Stay updated on emerging technologies in the fintech space, particularly in lending, credit underwriting, and LOS automation. Required Skills : - Backend Development Python (Django, FastAPI, Flask) with experience in building scalable APIs. - Frontend Development JavaScript (React.js, Angular, or Vue.js). - Should have 3+ years experience with similar role. - Database Management PostgreSQL, MySQL, MongoDB, or Redis. - API Development Experience in designing and consuming RESTful APIs and GraphQL. - State Management Redux, Zustand, or Context API. - Authentication & Security OAuth, JWT, Role-Based Access Control (RBAC), and API security best practices. - Cloud & DevOps AWS (EC2, S3, Lambda), Docker, Kubernetes, CI/CD pipelines (Jenkins, GitHub Actions). - Testing & Debugging Experience with PyTest, Jest, React Testing Library, or Cypress. Apply Insights Follow-up Save this job for future reference Did you find something suspiciousReport Here! Hide This Job Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.