Junior Full Stack Developer

Narayana Health is hiring a Junior Full Stack Developer to build and maintain product features across its healthcare technology platforms. The role involves working on frontend interfaces, backend APIs, databases, cloud deployments, and AI-powered features while collaborating with engineering, product, and design teams. Responsibilities: - Develop and maintain frontend interfaces using Angular or React. - Build and maintain backend APIs and services using Node.js or Python. - Contribute to database design, queries, and schema changes. - Write and maintain CI/CD pipelines using GitHub Actions. - Containerize applications using Docker and support deployments. - Integrate GenAI APIs such as OpenAI, Anthropic, and Azure OpenAI into product features. - Write clean, well-documented, and testable code. - Participate in code reviews, sprint planning, and agile ceremonies. - Troubleshoot and debug issues across the application stack. - Collaborate with designers, product managers, and senior engineers to deliver features. Benefits: - Opportunity to work on healthcare intelligence and AI-driven products. - Exposure to cloud-native development and modern engineering practices. - Experience with GenAI integrations and real-world healthcare applications. - Cross-functional collaboration with engineering, design, and clinical teams. - Career growth in a large healthcare technology environment.

Must Have: - Bachelor's degree in Computer Science or a related field. - 0-2 years of full-stack development experience. - Hands-on experience with Angular or React. - Backend development experience using Node.js or Python. - Working knowledge of SQL and relational databases. - Familiarity with Git and code review workflows. - Comfortable working in an Agile/Scrum environment. - Strong problem-solving and written communication skills. Nice to Have: - Experience with Docker and Kubernetes. - Experience setting up or maintaining CI/CD pipelines using GitHub Actions. - Experience with cloud platforms such as AWS, Azure, or GCP. - Experience integrating GenAI models or APIs into applications. - Familiarity with prompt engineering concepts. - Contributions to open-source projects.