Back-end Developer

Summary

Join CapIntel's growing Data Team as a Back-end Developer and contribute to the design, development, and optimization of the data infrastructure supporting our innovative financial platform. You will build scalable back-end systems focusing on data processing, API integrations, and cloud-based architectures. Collaborate closely with developers and product teams to ensure robust, secure, and high-performing data pipelines and services. This role requires proficiency in JavaScript/TypeScript, Node.js, and NoSQL databases. Experience with MongoDB and AWS is essential. The ideal candidate possesses strong testing and code quality practices and excels in cross-functional collaboration.

Requirements

• Backend Development: Proficiency in JavaScript/TypeScript and Node.js, with experience building scalable backend systems
• Databases & APIs: Hands-on experience with MongoDB and developing secure, efficient APIs
• Cloud Infrastructure: Familiarity with deploying and managing services on AWS or similar cloud platforms
• Testing & Code Quality: Strong focus on writing maintainable code supported by unit and integration tests
• Collaboration & Communication: Effective at working cross-functionally and communicating technical concepts clearly

Responsibilities

• Develop and maintain back-end services using JavaScript/TypeScript, Node.js, and NoSQL databases, like MongoDB
• Design and optimize data storage solutions for structured and unstructured financial data
• Build and maintain enterprise-level API integrations, ensuring efficiency, scalability, and security
• Deploy and manage applications on cloud platforms (AWS), ensuring performance and reliability
• Write comprehensive back-end tests, including unit and integration tests for API endpoints
• Participate in code reviews and contribute to back-end development standards and best practices
• Collaborate with data and product teams to ensure backend solutions align with business needs

Preferred Qualifications

• Experience using Python for backend scripting or data processing
• Familiarity with serverless architectures, such as AWS Lambda
• Understanding of search indexing technologies like Elasticsearch
• Experience improving CI/CD pipelines and deployment workflows