Java + AI + Kubernetes Engineer

Veriipro; Phoenix (AZ); On-site; USD 120,000 - 180,000; Full time

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

We are looking for a highly skilled Java + AI + Kubernetes Engineer with strong hands-on experience in Java development, Spring Boot, Microservices, AI/GenAI integration, and Kubernetes-based container orchestration.

The ideal candidate will be responsible for designing and developing scalable enterprise applications, integrating AI-powered capabilities into business solutions, and deploying cloud-native applications. The candidate should have strong development skills, the ability to lead development modules, and experience working directly with clients.

Key Responsibilities

• Design, develop, and maintain enterprise applications using Java, Spring Boot, and Microservices architecture.

• Build and integrate AI/GenAI solutions, APIs, and intelligent automation workflows into business applications.

• Develop and maintain RESTful APIs while ensuring scalability, security, and performance.

• Deploy, manage, and optimize applications using Kubernetes and Docker.

• Implement and maintain CI/CD pipelines and follow cloud-native development best practices.

• Collaborate with DevOps, Cloud, and business teams to deliver end-to-end technical solutions.

• Troubleshoot production issues, perform root cause analysis, and drive continuous improvements.

• Take ownership of development modules and contribute to technical solution delivery.

• Work closely with clients to understand requirements, provide technical updates, and ensure successful delivery.

Required Technical Skills

• Strong hands-on experience with Java.

• Spring Boot and Microservices architecture.

• AI/ML and Generative AI integration.

• Kubernetes and Docker.

• REST API development and integration.

• CI/CD pipelines and Continuous Integration.

• Cloud-native application development.

• Application troubleshooting and production support.

Key Expectations

1. Individual Contributor: Strong hands-on development experience with the ability to independently deliver technical solutions.

2. Development Module Leadership: Ability to own and lead development modules while ensuring quality and timely delivery.

3. Client Interaction: Ability to work directly with clients, understand technical requirements, and communicate effectively.

Preferred Qualifications

• Excellent communication and interpersonal skills.

• Experience working closely with clients and cross-functional teams.

• Strong problem-solving and analytical abilities.

• Ability to work independently in a fast-paced environment.