Senior Java AI & Kubernetes Engineer

Veriipro

Phoenix (AZ)

On-site

USD 120,000 - 180,000

Full time

3 days ago
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Job summary

Veriipro is seeking a highly skilled Java + AI + Kubernetes Engineer to design, develop, and deploy scalable enterprise applications. The role focuses on Java development, Spring Boot, microservices, AI/GenAI integration, and Kubernetes-based orchestration.

The candidate will lead development modules, collaborate with DevOps and client teams, and deliver end-to-end technical solutions. Strong problem-solving and client-facing skills are required for successful delivery.

Qualifications

  • Strong hands-on experience with Java.
  • Experience with Spring Boot and Microservices architecture.
  • Experience integrating AI/GenAI into business applications.
  • Proficiency in Kubernetes and Docker for deployment and orchestration.
  • Developing and consuming REST APIs with scalability and security in mind.
  • Experience building CI/CD pipelines and cloud-native practices.

Responsibilities

  • Design, develop, and maintain enterprise apps using Java, Spring Boot, and Microservices.
  • Build and integrate AI/GenAI solutions and APIs into applications.
  • Develop and maintain RESTful APIs with scalability, security, and performance.
  • Deploy and manage apps using Kubernetes and Docker.
  • Implement CI/CD pipelines and cloud-native development practices.
  • Collaborate with DevOps, Cloud, and business teams for end-to-end delivery.
  • Troubleshoot production issues and drive continuous improvements.
  • Own development modules and contribute to technical solutions.
  • Work with clients to gather requirements and provide updates.

Skills

Java
Spring Boot
Microservices
AI/GenAI integration
REST API development
CI/CD pipelines
Cloud-native development
Troubleshooting

Tools

Kubernetes
Docker

Job description

Veriipro is seeking a highly skilled Java + AI + Kubernetes Engineer to design, develop, and deploy scalable enterprise applications. The role focuses on Java development, Spring Boot, microservices, AI/GenAI integration, and Kubernetes-based orchestration.

The candidate will lead development modules, collaborate with DevOps and client teams, and deliver end-to-end technical solutions. Strong problem-solving and client-facing skills are required for successful delivery.

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