Full-Stack Developer II: React/Node, AWS & Microservices

Spectraforce Technologies; Newark (NJ); On-site; USD 100,000 - 140,000; Full time

Job summary

Spectraforce Technologies is seeking a Full Stack Developer II for a Newark, NJ engagement. The role focuses on building scalable UIs with React.js and implementing robust backend services in Node.js, including REST/GraphQL APIs and microservices.

The position requires strong cloud experience with AWS, containerization via Docker, and deployment to ECS/EKS, plus CI/CD pipelines and cloud infrastructure know-how. The candidate will contribute across the stack and support performance optimization.

Qualifications

• Strong hands-on experience with React.js for building responsive UIs.
• Backend development with Node.js (Express/NestJS) and RESTful API design.
• Proficiency in JavaScript/TypeScript across full stack (frontend + backend).
• Experience designing REST/GraphQL APIs and microservices.
• Hands-on experience with AWS cloud services (EC2, S3, API Gateway, Lambda).
• Knowledge of Docker and deployment to AWS ECS (or EKS).
• Experience with CI/CD pipelines and automated deployments in AWS environments.
• Understanding of cloud infrastructure concepts (VPC, IAM, load balancing, auto scaling).
• Proficiency with databases (PostgreSQL, MongoDB, or NoSQL) and query optimization.
• Experience with monitoring and logging tools (CloudWatch).

Skills

React.js

Node.js

JavaScript/TypeScript

REST/GraphQL APIs

AWS Cloud

CI/CD pipelines

Cloud infrastructure concepts

PostgreSQL / MongoDB

Monitoring/Logging (CloudWatch)

Tools

Docker

AWS ECS

GraphQL

Job description

Spectraforce Technologies is seeking a Full Stack Developer II for a Newark, NJ engagement. The role focuses on building scalable UIs with React.js and implementing robust backend services in Node.js, including REST/GraphQL APIs and microservices.

The position requires strong cloud experience with AWS, containerization via Docker, and deployment to ECS/EKS, plus CI/CD pipelines and cloud infrastructure know-how. The candidate will contribute across the stack and support performance optimization.