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Remote Java Jobs in Garland, TX (NOW HIRING)

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REQ :: Full Stack Java Engineer

Dallas, TX · Remote

$55 - $60/hr

... remote role in CST or EST time zones - preference for candidates to be located near Dallas, TX or ... solutions using Java, Spring Boot, Node.js, and container orchestration technologies like ...

ClinDCast LLC

SAP PO Integration Specialist

Addison, TX · Remote

$60 - $68/hr

Remote Job Summary: Seeking an experienced SAP Process Orchestration consultant to design, develop ... with Java mappings. Strong troubleshooting, error handling, and alert management skills are ...

NAVA Software Solutions

Lead AEM Developer - Remote

Dallas, TX · On-site +1

$58.50 - $76.50/hr

Remote project Duration: 6-12 months Role Overview & Required Skills: The candidate needs to have ... Experienced in designing and development in Core Java, Servlet, JSP, J2EE, XML, XSLT, Struts ...

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How much do remote java jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for remote java in Garland, TX is $54.78, according to ZipRecruiter salary data. Most workers in this role earn between $47.40 and $61.30 per hour, depending on experience, location, and employer.

What is a Remote Java job?

A Remote Java job is a software development role that allows professionals to work from anywhere while using the Java programming language to build applications. These roles often involve backend development, API integration, cloud computing, and maintaining Java-based systems. Remote Java developers collaborate with teams using communication tools, version control systems, and project management software. Many companies offer remote Java positions to access a global talent pool and provide work flexibility.

What are the key skills and qualifications needed to thrive in the Remote Java position, and why are they important?

To thrive as a Remote Java developer, you need a strong grasp of Java programming, object-oriented design principles, and commonly used frameworks such as Spring or Hibernate, backed by a degree in computer science or equivalent experience. Experience with version control systems like Git, build tools (Maven/Gradle), and knowledge of cloud platforms or DevOps practices are often required, while certifications like Oracle Certified Professional (OCP) can be advantageous. Strong communication skills, self-motivation, and time management are essential for remote collaboration and project delivery. These competencies ensure effective code development, seamless teamwork, and successful delivery of software solutions in a distributed work environment.

What are some common challenges faced by Remote Java developers, and how can they be addressed?

Remote Java developers often face challenges such as maintaining clear communication with team members across different locations and time zones, as well as managing their own schedules for deep, focused work. To address these challenges, it helps to make use of collaboration tools like Slack, Jira, and video conferencing, and to establish regular check-in meetings with your team. Proactively documenting your code and project decisions can also help streamline teamwork and reduce misunderstandings. Additionally, setting up a dedicated workspace and clear daily routines can boost productivity and ensure successful project outcomes as a remote developer.

What are the most commonly searched types of Java jobs in Garland, TX? The most popular types of Java jobs in Garland, TX are:
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Remote Java jobs near you

Java Full Stack Developer (Backend & AI/LLM)

SSV Technologies Inc

Irving, TX • On-site, Remote

$50.50 - $65/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Java Full Stack Developer (Backend & AI/LLM)

Location: Irving, TX or Boston, MA (Hybrid)

Duration: 12+ Months

 

Job Description:

We are seeking a Java Full Stack Developer with hands-on backend engineering depth and demonstrated experience integrating Large Language Model (LLM) capabilities into enterprise-grade applications. You will architect and build scalable microservices using Spring Boot, design agentic AI workflows using LangChain4j or Spring AI, and contribute across the full stack from React-based frontends to cloud-deployed backends. You will own end-to-end feature delivery for AI-powered modules, implement resilient LLM integration patterns, and drive technical best practices across the team.

 

Key Responsibilities:

•               Design and develop scalable RESTful microservices and APIs using Java 17/21 and Spring Boot, following cloud-native and domain-driven design principles.

•               Architect and implement LLM-powered features using LangChain4j or Spring AI — including tool/function calling, agentic chains, RAG pipelines, and prompt engineering.

•               Integrate LLM providers (OpenAI, Azure OpenAI, AWS Bedrock, or Anthropic Claude) into production systems with proper guardrails, hallucination mitigation, and evaluation frameworks.

•               Build fault-tolerant service integrations using Feign clients and Resilience4j (circuit breakers, retries, rate limiters) to ensure system reliability against upstream failures.

•               Implement asynchronous workflows using Kafka or similar messaging platforms; design job-ID-based async response patterns for long-running operations.

•               Develop and maintain React-based front-end components, consuming REST APIs and handling loading, error, and success states cleanly.

•               Manage conversation state and session context in MongoDB or equivalent NoSQL stores to enable multi-turn AI interactions and follow-up reasoning.

•               Collaborate with product, QA, and platform teams in Agile sprints; contribute to design reviews, code reviews, and technical documentation.

Required qualifications:

  • 8+ years of professional software development experience with Java; strong command of Java 17/21 features including virtual threads and modern concurrency patterns.
  • Proven expertise with Spring Boot, Spring Security, Spring Data JPA, and microservices architecture; experience with API Gateway patterns and JWT-based authentication.
  • Hands-on experience integrating LLMs via APIs (OpenAI, Azure OpenAI, AWS Bedrock, or Anthropic); practical knowledge of prompt engineering, RAG, embeddings, and vector databases.
  • Experience with LangChain4j, Spring AI, or equivalent Java-native LLM frameworks for building agentic, tool-calling, or multi-step AI orchestration workflows.
  • Proficiency in front-end development using React.js; ability to build, debug, and optimize component-based UIs and REST API integrations.
  • Solid understanding of asynchronous messaging (Kafka, RabbitMQ), distributed systems patterns, and cloud deployment (AWS, Azure, or Google Cloud Platform)
  • Ability to deploy and fine tune AI LLM models on devices like computers , routers etc.….Experience in Model API’s.

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