Java + AI + Kubernetes Engineer

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

Individual Contributor:

Strong hands-on development experience with the ability to independently deliver technical solutions.

Development Module Leadership:

Ability to own and lead development modules while ensuring quality and timely delivery.

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.