Senior Java Full Stack Lead

MACHINE LEARNING TECHNOLOGIES LLC; Dallas (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

Machine Learning Technologies LLC in Dallas, TX is seeking a Senior Java Full Stack Lead to design, develop, and own enterprise applications built with Java, Spring Boot, and microservices. You will drive REST API development, frontend work with Angular/React, and cloud deployments on Azure or AWS.

The role requires hands-on leadership, strong communication, and the ability to deliver end-to-end solutions from Day 1, including GenAI/LLM-powered features and AI agent integrations in a fast-paced,

Qualifications

• 10+ years of hands-on Java/J2EE development experience (Java 11/17/21).
• Strong expertise in Spring Boot, Spring MVC, Spring Security, and Microservices architecture.
• Experience developing REST APIs, SOAP services, and enterprise applications.
• Strong database expertise in SQL Server, Oracle, MySQL, and MongoDB.
• Frontend experience with Angular, ReactJS, TypeScript, HTML5, and CSS3.
• Hands-on experience with Azure/AWS, Git, Maven, and Jenkins.
• Experience with JUnit, Mockito, and Agile/Scrum methodologies.
• Strong hands-on experience in GenAI, LLM integration, and Agentic AI development.
• Experience with OpenAI, Spring AI, LangChain4j, RAG, and Prompt Engineering.

Responsibilities

• Design, develop, and maintain enterprise Java applications using Spring Boot and Microservices.
• Build and integrate REST APIs and third-party services.
• Develop frontend applications using Angular/ReactJS.
• Design and implement scalable cloud solutions on Azure/AWS.
• Develop and integrate GenAI/LLM-powered applications, RAG solutions, and AI agents.
• Lead technical design, development, testing, and end-to-end implementation.
• Ensure application performance, security, and code quality.

Skills

Java/J2EE

Spring Framework

Microservices

REST APIs

Agile/Scrum

Leadership

Communication

GenAI/LLM

Tools

Azure

AWS

Git

Maven

Jenkins

JUnit

Mockito

OpenAI

LangChain4j

RAG

Prompt Engineering

Angular

ReactJS

TypeScript

HTML/CSS

SQL Server

Oracle

MySQL

MongoDB

Docker

Kubernetes

Kafka

GraphQL

Job description

Job Overview

• Job ID: J53745
• Job Title: Senior Java Full Stack Lead
• Location: Dallas, TX
• Duration: 12 Months + Extension
• Domain Exposure: Utilities/ Energy
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C
• Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Required Skills

• 10+ years of hands‑on Java/J2EE development experience (Java 11/17/21).
• Strong expertise in Spring Boot, Spring MVC, Spring Security, and Microservices architecture.
• Experience developing REST APIs, SOAP services, and enterprise applications.
• Strong database expertise in SQL Server, Oracle, MySQL, and MongoDB.
• Frontend experience with Angular, ReactJS, TypeScript, HTML5, and CSS3.
• Hands‑on experience with Azure/AWS, Git, Maven, and Jenkins.
• Experience with JUnit, Mockito, and Agile/Scrum methodologies.
• Strong hands‑on experience in GenAI, LLM integration, and Agentic AI development.
• Experience with OpenAI, Spring AI, LangChain4j, RAG, and Prompt Engineering.

Key Responsibilities

• Design, develop, and maintain enterprise Java applications using Spring Boot and Microservices.
• Build and integrate REST APIs and third‑party services.
• Develop frontend applications using Angular/ReactJS.
• Design and implement scalable cloud solutions on Azure/AWS.
• Develop and integrate GenAI/LLM‑powered applications, RAG solutions, and AI agents.
• Lead technical design, development, testing, and end‑to‑end implementation.
• Ensure application performance, security, and code quality.

Leadership Expectations

• Strong technical leadership, ownership, and decision‑making skills.
• Excellent verbal and written communication.
• Ability to independently manage requirements, lead teams, and drive end‑to‑end delivery.
• Must be a hands‑on Technical Lead capable of delivering solutions from Day 1 without constant guidance.

Good‑to‑Have Skills

• Docker, Kubernetes, Kafka, and GraphQL.
• Advanced AI/Agentic AI frameworks and cloud‑native development.

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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