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Full Stack Aws React Developer Jobs (NOW HIRING)

... React, Angular, Vue, Svelte etc) with Angular preferred * Curiosity, autonomy, and the drive to ... AWS Connect, Lex, Lambda, S3, and Cloudwatch * Angular * js with Typescript * PostgresSQL

The role requires expertise in Python, Java, React, and AWS, along with a willingness to learn and adapt to new skills as needed. Responsibilities : • AWS full stack developers who have hands on ...

Contract Role Descriptions (Key Responsibilities) Design, develop, and maintain full stack web ... Hands-on experience with Docker and cloud platforms (AWS preferred). Familiarity with unit testing ...

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As of Sep 9, 2026, the average hourly pay for full stack aws react developer in the United States is $59.26, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $68.27 per hour, depending on experience, location, and employer.

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Infographic showing various Full Stack Aws React Developer job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 4% Part Time, 6% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $123,262 per year, or $59.3 per hour.

Lead Java Developer - AI & Full Stack Solutions

Phoenix, AZ • On-site

$52.25 - $67.25/hr

Other

Re-posted 23 hours ago


Job description

Job Title: Lead Java Developer AI & Full Stack Solutions

Location: Phoenix, AZ (Onsite / Hybrid)

Employment Type: Contract

Job Summary

We are looking for a highly skilled Lead Java Developer with expertise in Artificial Intelligence (AI), Generative AI (LLMs, RAG, MCP), and Full Stack Development to design and build next-generation enterprise applications. In this role, you will lead the architecture, engineering, and deployment of resilient, AI-powered enterprise microservices and customer-facing web applications.

The ideal candidate brings strong hands-on experience in Java core platform engineering, integration with modern AI architectures (Retrieval-Augmented Generation, Model Context Protocol, and Large Language Models), and modern frontend frameworks (React/Angular/Node.js).

Key Responsibilities
  • Technical Leadership & Architecture: Lead the end-to-end design, development, and architectural delivery of scalable, secure Java-based backend microservices integrated with advanced AI/LLM capabilities.

  • AI & LLM Integration: Design and implement RAG (Retrieval-Augmented Generation) pipelines, integrate MCP (Model Context Protocol) servers/tools, vector databases, and enterprise LLM orchestration framework (e.g., Spring AI, LangChain4j, Semantic Kernel).

  • Full Stack Execution: Oversee and contribute to full stack development-connecting modern frontend frameworks (React.js, Angular, or Vue.js) with AI-enhanced RESTful and GraphQL APIs.

  • Enterprise Security & Governance: Implement enterprise-grade security, data protection, privacy controls, and API governance suitable for large-scale financial and payment systems.

  • Engineering Best Practices: Drive code reviews, automated unit/integration testing, CI/CD pipeline automation, observability/monitoring, and performance tuning across the cloud stack (AWS/Google Cloud Platform/Azure).

  • Mentorship & Collaboration: Guide and mentor software engineers, partner closely with Data Scientists, AI Engineers, Product Managers, and Solution Architects to translate business requirements into technical reality.

Required Qualifications
  • Education: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

  • Core Java Leadership: 8+ years of hands-on Java engineering experience (Java 17/21, Spring Boot, Spring Cloud, Microservices, Event-driven architecture with Kafka/RabbitMQ).

  • AI / GenAI Expertise: 2+ years of practical experience integrating AI capabilities into enterprise applications:

    • Building RAG pipelines utilizing Vector Databases (e.g., Pinecone, Milvus, pgvector, Qdrant).

    • Hands-on familiarity with MCP (Model Context Protocol) standards, tools, and agentic workflows.

    • Integration with LLM APIs (OpenAI, Anthropic Claude, Llama, Bedrock, Vertex AI) using Spring AI or LangChain4j.

  • Full Stack Development: Proficiency in frontend web technologies (React.js, Angular, TypeScript, HTML5/CSS3) and backend API integrations.

  • Cloud & DevOps: Deep expertise in Cloud platforms (AWS/Azure/Google Cloud Platform), Docker, Kubernetes, CI/CD pipelines (Jenkins/GitHub Actions), and infrastructure-as-code.

  • Location: Based in or willing to work onsite/hybrid in Phoenix, AZ.