Java Full-Stack Engineer: Cloud, Microservices & GenAI

Ethereum Technologies; Dallas (TX); On-site; USD 82,000 - 117,000; Full time

Job summary

Ethereum Technologies in Dallas, TX seeks a Java Full Stack engineer for an 11-month engagement. You will design, build, and maintain enterprise-scale full-stack apps, using Java/Spring Boot on the backend and React/Angular on the frontend, with REST microservices and cloud integrations.

The role emphasizes scalable architectures, CI/CD, and containerized deployments. Candidates should be adept with modern frontend frameworks and cloud-native development, and able to contribute GenAI

Qualifications

• Experience building enterprise-scale full-stack applications.
• Strong knowledge of Java, Spring Boot, and modern frontend frameworks.
• Experience with cloud platforms (AWS/Azure) and containerization.
• Familiarity with microservices, REST APIs, and CI/CD pipelines.
• Knowledge of GenAI, RAG, Spring AI or MCP is a plus.

Responsibilities

• Design, develop, and maintain enterprise-scale full-stack applications.
• Build scalable backend services using Java and Spring Boot.
• Develop modern frontend applications using React or Angular.
• Design and implement REST APIs and microservices.
• Integrate applications with cloud platforms and third-party services.
• Optimize application performance, scalability, and reliability.
• Develop automated unit, integration, and end-to-end tests.
• Implement CI/CD pipelines and containerized deployments.
• Collaborate with architects, product owners, QA, and DevOps teams.
• Explore and integrate Generative AI capabilities into enterprise applications.

Skills

Java 21

Spring Boot 3.x

React/Angular

Cloud AWS/Azure

Kubernetes

Docker

Kafka

GenAI/MCP

Tools

Docker

Kubernetes

AWS

Azure

Kafka

Job description

Ethereum Technologies in Dallas, TX seeks a Java Full Stack engineer for an 11-month engagement. You will design, build, and maintain enterprise-scale full-stack apps, using Java/Spring Boot on the backend and React/Angular on the frontend, with REST microservices and cloud integrations.

The role emphasizes scalable architectures, CI/CD, and containerized deployments. Candidates should be adept with modern frontend frameworks and cloud-native development, and able to contribute GenAI