Fullstack Developer

The Full Stack Developer will be responsible for designing and developing end-to-end web applications that support our healthcare innovation platform. This includes building secure, scalable backend services using Node.js and Java Spring Boot, along with developing responsive, high-quality frontend interfaces using TypeScript. The role requires close

collaboration with the AI/ML, DevOps, QA, and product teams to deliver robust, compliant, and high-performance software solutions that integrate seamlessly with imaging and AI

driven workflows.

Roles and Responsibilities-

Develop scalable backend services and APIs using Node.js and Java Spring Boot.

• Build responsive, modular frontend components using TypeScript and modern web

frameworks (React/Angular/Vue).

• Design API gateways, integration layers, and service orchestration for distributed

systems.

• Implement authentication/authorization standards (OAuth2.0, JWT, SSO, mTLS

awareness).

• Optimize full-stack performance, including request latency, memory usage, and

frontend rendering.

• Implement secure coding practices aligned with enterprise and healthcare compliance

guidelines.

• Design and maintain database schemas, data access layers, and integration logic.
• Collaborate with frontend, backend, and DevOps teams to deliver cohesive product

features.

• Ensure performance optimization across the full stack, including efficient API response

times.

• Maintain CI/CD pipelines and participate in automated testing efforts (unit, integration,

API).

• Produce technical documentation, architecture diagrams, and follow coding standards.
• Troubleshoot production issues, identify root causes, and drive long-term stability

improvements.

• Participate in sprint planning, code reviews, design discussions, and agile ceremonies.

Additional Requirements-

Experience with frontend frameworks like React (preferred), Angular, or Vue.

• Familiarity with GraphQL, WebSockets, or real-time communication frameworks.
• Experience integrating applications with AI/ML inference APIs or imaging pipelines.
• Knowledge of serverless architectures (AWS Lambda, Azure Functions).
• Experience with logging/monitoring stacks: ELK, Prometheus, Grafana.
• Exposure to healthcare software development, HIPAA considerations, or regulated

environments.

• Knowledge of message patterns (pub/sub, CQRS, event sourcing).