Senior Java / AWS Software Engineer (W2 | Hybrid)

Tricon Solutions

Englewood Cliffs (NJ)

Hybrid

USD 124,000 - 207,000

Full time

45 hours ago
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Job summary

Tricon Solutions is seeking a Senior Java / AWS Software Engineer to join our media and technology team in Englewood Cliffs, NJ on a Hybrid contract. The ideal candidate will be hands-on, experienced with Java 21, Spring Boot, microservices, REST APIs, and AWS, capable of delivering end-to-end enterprise applications.

You will own design, development, deployment and production support, build scalable backend services, and apply modern DevOps practices including CI/CD and performance

Qualifications

  • 8+ years of experience preferred.
  • Experience with modern Java features and Java 21 preferred.
  • Hands-on experience with cloud-native architectures on AWS.
  • Strong understanding of microservices, REST APIs, and distributed systems.
  • Experience owning applications end-to-end from design to production.

Responsibilities

  • Design, develop, and maintain scalable enterprise applications using Java 21, Spring Boot, and microservices architecture.
  • Build robust RESTful APIs and backend services supporting complex business applications.
  • Own the full software development lifecycle from requirements to production support.
  • Develop and deploy cloud-native applications using AWS services.
  • Implement multithreaded and concurrent processing for high-performance applications.
  • Troubleshoot production issues, optimize performance, and ensure production stability.
  • Apply modern software engineering practices including automated testing, CI/CD, code reviews, and continuous improvement.
  • Explore applying AI-powered development tools to improve productivity and code quality.
  • Collaborate with cross-functional teams while driving technical solutions from concept to production.

Skills

Strong problem solving
Independent work
Team collaboration
English communication

Tools

Java
Spring Boot
Microservices
REST APIs
AWS
CI/CD
Docker
Kubernetes
AI development tools

Job description

**** W2 ONLY Role - No C2C or Sponsorship available **** Senior Java / AWS Software Engineer

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, develop, and maintain scalable enterprise applications using Java 21, Spring Boot, and microservices architecture.
  • Build robust RESTful APIs and backend services supporting complex business applications.
  • Own the complete software development lifecycle, from requirements analysis and solution design through development, testing, deployment, and production support.
  • Develop and deploy cloud-native applications using AWS services.
  • Implement efficient multithreaded and concurrent processing solutions for high-performance applications.
  • Troubleshoot complex technical issues, optimize application performance, and ensure production stability.
  • Apply modern software engineering practices, including automated testing, CI/CD, code reviews, and continuous improvement.
  • Leverage AI-powered development tools to improve engineering productivity and code quality.
  • Explore opportunities to integrate AI capabilities into applications where appropriate.
  • Collaborate with cross‑functional teams while independently driving technical solutions from concept to production.
Required Qualifications
  • Strong hands‑on experience with Java, including modern Java features and preferably Java 21.
  • Advanced knowledge of Java multithreading, concurrency, collections, JVM fundamentals, and performance optimization.
  • Extensive experience with Spring Boot, Spring Framework, microservices, and REST API development.
  • Hands‑on experience developing, deploying, and supporting applications on AWS.
  • Strong understanding of distributed systems, application scalability, reliability, and fault tolerance.
  • Demonstrated experience owning applications through the entire development lifecycle, including production deployment.
  • Experience troubleshooting production issues, identifying bottlenecks, and improving system performance.
  • Familiarity with CI/CD pipelines, Git, automated testing, and modern DevOps practices.
  • Strong problem‑solving abilities and the capacity to work independently with minimal supervision.
Preferred Qualifications
  • Experience with AWS services such as EC2, ECS/EKS, Lambda, S3, RDS, CloudWatch, and API Gateway.
  • Experience with Docker, Kubernetes, and containerized deployments.
  • Familiarity with messaging and event‑driven architectures such as Kafka or AWS messaging services.
  • Experience with AI-assisted development tools such as GitHub Copilot, Claude Code, or similar technologies.
  • Exposure to integrating AI/LLM capabilities into enterprise applications.
  • Experience building high‑throughput, low‑latency, or highly concurrent systems.
  • Prior experience in media, streaming, digital platforms, or other high‑volume enterprise environments.
Ideal Candidate Profile

We are particularly interested in engineers who combine:

  • Deep Java expertise: Strong command of Java internals, concurrency, 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.

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