AI Engineering Specialist – Java

Job Description

About the Role :

We are looking for a highly skilled AI Engineering Specialist – Java to design and develop scalable, event-driven enterprise platforms capable of handling high-volume, real-time data processing. The ideal candidate should have strong hands-on experience in Java-based microservices architecture, cloud-native development, Kubernetes, and modern DevOps practices.

The role will also involve building a future-ready API-first platform architecture that can support integration with Agentic AI and intelligent communication frameworks.

Key Responsibilities :

– Design, develop, and maintain scalable microservices-based applications using Java and Spring Boot.

– Build and support high-throughput, event-driven platforms capable of handling millions of touchpoints and real-time data ingestion.

– Develop cloud-native applications and services on AWS infrastructure.

– Work with distributed systems and messaging platforms including Kafka, SNS, and SQS.

– Design and implement RESTful APIs and API-first architectures for enterprise applications.

– Develop scalable containerized applications using Kubernetes and AWS EKS.

– Implement and manage CI/CD pipelines to support automated deployments and release management.

– Collaborate with cross-functional teams including Engineering, DevOps, Data, and AI teams.

– Ensure system reliability, scalability, performance optimization, and observability using monitoring tools such as CloudWatch.

– Work with databases and caching technologies including MongoDB and Redis.

– Contribute to platform modernization and cloud transformation initiatives.

– Support future integration of Agentic AI and intelligent automation frameworks into the platform ecosystem.

– Participate in code reviews, troubleshooting, debugging, and technical solution discussions.

Required Skills :

Strong hands-on coding experience in :

– Java

– Spring Boot

Strong expertise in AWS services including :

– EKS

– SNS

– SQS

– OpenSearch

– CloudWatch

Experience with :

– Kubernetes

– Docker

– CI/CD pipelines

– AWS DevOps practices

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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