Java Full Stack Developer

Inabia Software & Consulting Inc.; New York (NY); On-site; USD 143,270,000 - 157,046,000; Full time

Job summary

Inabia Solutions & Consulting Inc. seeks experienced Java Full Stack Developers to build cloud-native applications and AI capabilities for a financial services client. You will create end-to-end solutions using React/TypeScript and Java/Spring Boot on AWS, integrating agentic AI for secure, reliable production use.

The role emphasizes hands-on development, cloud-native design, and production readiness, with potential for full-time conversion after 9–12 months based on performance.

Qualifications

• 8+ years of hands-on Java Full Stack development experience.
• Strong expertise in Java, Spring Boot, microservices, and REST API development.
• Hands-on React development experience using TypeScript/JavaScript, HTML, and CSS.
• Practical experience integrating LLMs/SLMs, RAG, MCP, and agent orchestration frameworks into applications.
• Experience developing and operating cloud-native applications on AWS.
• Hands-on experience with Docker, Kubernetes, serverless compute, and event-driven messaging patterns.
• Experience building or maintaining CI/CD pipelines using Jenkins, Spinnaker, or comparable tools.
• Experience with automated testing, performance testing, and load testing.
• Experience using production monitoring and observability tools such as Splunk and Dynatrace.
• Ability to apply security, access controls, data protection, and operational reliability practices to AI-enabled applications.
• Strong problem-solving and communication skills, including experience working with client stakeholders.
• Ability to work 100% onsite in New York City, Plano, or Columbus.
• U.S. citizen or Green Card holder. Visa sponsorship is not available.

Responsibilities

• Deliver production-grade solutions integrating agentic AI, LLMs/SLMs, MCP, RAG, agent orchestration frameworks, and automation.
• Build end-to-end application capabilities using React with TypeScript/JavaScript on the front end and Java/Spring Boot microservices on the back end.
• Design, deploy, and operate scalable, event-driven microservices on AWS using Docker, Kubernetes, serverless compute, and messaging patterns.
• Build and maintain CI/CD pipelines using tools such as Jenkins and Spinnaker.
• Develop automated tests, evaluate AI workflows, and conduct performance and load testing using tools such as BlazeMeter.
• Implement production observability and monitoring using tools such as Splunk and Dynatrace to investigate issues and maintain application stability.
• Partner with product, design, data, architecture, and risk/control stakeholders to deliver secure, stable, and scalable AI solutions that address business needs.
• Participate in code reviews, troubleshoot production issues, and communicate technical decisions and delivery progress clearly.

Skills

Java Full Stack

Java

Spring Boot

REST API development

React

TypeScript

AWS

LLMs/SLMs integration

MCP

Agent orchestration

CI/CD

Testing & performance testing

Security & data protection

Communication

Tools

Docker

Kubernetes

Jenkins

Spinnaker

BlazeMeter

Splunk

Dynatrace

Job description

Java Full Stack Developer

• Employer: Inabia Solutions & Consulting Inc.
• Locations: New York City, NY | Plano, TX | Columbus, OH
• Work Arrangement: 100% onsite
• Employment Type: Long-term W-2 Contract
• Compensation: $50- $55.00 per hr.

About the Opportunity

Inabia Solutions & Consulting Inc. is seeking experienced Java Full Stack Developers to build cloud-native applications and production-grade AI capabilities for a financial services client.

You will develop end-to-end solutions using React and TypeScript/JavaScript, Java/Spring Boot microservices, and AWS. The role requires hands‑on experience integrating agentic AI into applications, with a focus on secure, reliable operation in production.

This engagement offers potential for direct full‑time employment with the client after 9–12 months, based on performance and business needs. Conversion is not guaranteed.

Key Responsibilities

• Deliver production‑grade solutions integrating agentic AI, large and small language models (LLMs/SLMs), Model Context Protocol (MCP), retrieval‑augmented generation (RAG), agent orchestration frameworks, and automation.
• Build end-to-end application capabilities using React with TypeScript/JavaScript on the front end and Java/Spring Boot microservices on the back end.
• Design, deploy, and operate scalable, event‑driven microservices on AWS using Docker, Kubernetes, serverless compute, and messaging patterns.
• Build and maintain CI/CD pipelines using tools such as Jenkins and Spinnaker.
• Develop automated tests, evaluate AI workflows, and conduct performance and load testing using tools such as BlazeMeter.
• Implement production observability and monitoring using tools such as Splunk and Dynatrace to investigate issues and maintain application stability.
• Partner with product, design, data, architecture, and risk/control stakeholders to deliver secure, stable, and scalable AI solutions that address business needs.
• Participate in code reviews, troubleshoot production issues, and communicate technical decisions and delivery progress clearly.

Required Qualifications

• 8+ years of hands‑on Java Full Stack development experience.
• Strong expertise in Java, Spring Boot, microservices, and REST API development.
• Hands‑on React development experience using TypeScript/JavaScript, HTML, and CSS.
• Practical experience integrating LLMs/SLMs, RAG, MCP, and agent orchestration frameworks into applications.
• Experience developing and operating cloud‑native applications on AWS.
• Hands‑on experience with Docker, Kubernetes, serverless compute, and event‑driven messaging patterns.
• Experience building or maintaining CI/CD pipelines using Jenkins, Spinnaker, or comparable tools.
• Experience with automated testing, performance testing, and load testing.
• Experience using production monitoring and observability tools such as Splunk and Dynatrace.
• Ability to apply security, access controls, data protection, and operational reliability practices to AI‑enabled applications.
• Strong problem‑solving and communication skills, including experience working with client stakeholders.
• Ability to work 100% onsite in New York City, Plano, or Columbus.
• U.S. citizen or Green Card holder. Visa sponsorship is not available.

Preferred Qualifications

• Python experience for LLM engineering and data processing, including small services, automation, and evaluation harnesses.
• Experience delivering AI‑enabled applications in financial services or other regulated environments.