Senior Java Developer - Spring Boot / AWS / GraphQL (W2 | Hybrid)

**** W2 ONLY Role - No C2C or Sponsorship available ****

Senior Java Developer - Spring Boot / AWS / GraphQL

Location: Englewood Cliffs, NJ (Hybrid)
Experience: 8+ Years (Preferred)
Employment Type: Contract W2
Technology Stack: Java 21, Spring Boot, Microservices, REST APIs, AWS, AI Development Tools

About the Opportunity

We are seeking an experienced Senior Java / AWS Software Engineer to join a leading media and technology organization. The ideal candidate will be a strong hands-on engineer with deep expertise in modern Java development, cloud-native architecture, and end-to-end application delivery.

This role requires someone who can independently design, develop, optimize, deploy, and support scalable enterprise applications in AWS environments.

Key Responsibilities

• Design and develop scalable backend applications using Java 21, Spring Boot, and microservices.
• Build, integrate, and maintain APIs using REST and GraphQL .
• Develop, deploy, and support cloud-native applications on AWS.
• Own end-to-end application development, from architecture and design through production deployment.

Required Technical Skills

• Java 21 (or strong modern Java experience)
• Spring Boot and Microservices
• REST APIs and GraphQL
• AWS Cloud Services
• End-to-End Application Development and Production Deployment

Preferred Skills

• Multithreading, concurrency, and performance optimization
• Kafka and event-driven architecture
• Docker, Kubernetes, and CI/CD
• AI-assisted development tools

Ideal Candidate Profile

We are particularly interested in engineers who combine:

• Deep Java expertise: Strong command of Java, spring boot, graphql and performance optimization.
• AWS proficiency: Proven ability to deploy and manage production applications in AWS.
• End-to-end ownership: Ability to take an application from initial concept through successful production launch.
• Hands-on engineering: Comfortable writing code, solving complex problems, and making technical decisions.
• Modern development mindset: Familiarity with AI-powered development tools and emerging engineering practices.

The ideal candidate is a strong individual contributor who can independently architect, build, deploy, and maintain production-grade applications—not simply someone who has worked on individual components of larger projects.