Full Stack Application Developer
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Role details
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Job description
We are looking for experienced Full Stack Application Developers to build modern, scalable, and production-ready web applications. The ideal candidate should have strong experience in both frontend and backend development, databases, APIs, cloud, and modern application architecture., Design, develop, test, and deploy modern web applications and SPAs. Build scalable backend services and REST APIs. Design and integrate PostgreSQL and other relational databases. Develop secure, responsive, and maintainable user experiences. Integrate applications with data and analytics platforms. Follow coding, testing, security, and engineering best practices. Collaborate with cross-functional teams and take ownership of projects from concept to production.
Requirements
Strong experience in Full Stack Application Development. Strong frontend development experience with React, Angular, or similar frameworks. Proficiency in JavaScript and TypeScript. Experience building Single Page Applications (SPAs) and responsive web applications. Strong backend development experience with FastAPI, Flask, Node.js, or similar frameworks. Hands-on experience developing and integrating REST APIs. Strong experience with PostgreSQL and relational databases. Good knowledge of SQL, database design, queries, integration, and performance optimization. Experience with authentication, authorization, application security, API integration, and testing. Understanding of modern web application architecture and deployment practices. Ability to develop end-to-end applications across frontend, backend, APIs, authentication, and data layers. Ability to independently take applications/features from design and development through production deployment. Strong communication, problem-solving, and collaboration skills.
Preferred Skills: Experience with Databricks Apps. Experience with the Databricks Data Intelligence Platform. Experience with Databricks APIs, SQL Warehouses, Unity Catalog, Databricks SQL, Delta Lake, and Lakehouse architectures. Experience building data-intensive or analytics-focused applications. Cloud experience with AWS, Azure, or Google Cloud Platform. Experience with Docker and containerized applications. Experience with CI/CD and DevOps practices. Experience working with data engineers, platform engineers, architects, product teams, and customers.
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