Senior Java Full Stack Engineer - Cloud GenAI Microservices

Quantum Technologies LLC

Dallas (TX)

On-site

USD 82,000 - 117,000

Full time

32 hours ago
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Job summary

Quantum Technologies. LLC in Dallas, TX seeks a Java Full Stack developer to design, develop, and maintain enterprise-scale applications. You will build backend services with Java/Spring Boot and frontend with React or Angular, while designing REST APIs and microservices.

Responsibilities include integrating with cloud platforms (AWS/Azure), implementing CI/CD pipelines, Docker/Kubernetes deployments, and collaborating with cross-functional teams. GenAI capabilities integration is encouraged.

Qualifications

  • Experience building enterprise-scale full-stack applications.
  • Strong knowledge of Java 21 and Spring Boot 3.x.
  • Experience with React or Angular modern front-end frameworks.
  • Experience with cloud platforms and microservices architecture.

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
Spring Boot
React
Angular

Tools

AWS
Azure
Kubernetes
Docker
Kafka
GenAI

Job description

Quantum Technologies. LLC in Dallas, TX seeks a Java Full Stack developer to design, develop, and maintain enterprise-scale applications. You will build backend services with Java/Spring Boot and frontend with React or Angular, while designing REST APIs and microservices.

Responsibilities include integrating with cloud platforms (AWS/Azure), implementing CI/CD pipelines, Docker/Kubernetes deployments, and collaborating with cross-functional teams. GenAI capabilities integration is encouraged.

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