Description

Job Summary
Java Full Stack Developer with 12+ years of experience in designing and developing enterprise-scale applications using Java 8/11/17, Spring Boot, Microservices, Kafka, AWS Cloud, Angular, and React. Strong expertise in cloud-native architecture, API development, DevOps, and distributed systems.
Candidate should have domain experience across Healthcare, Banking Payments, Financial Services, and Telecom, with hands-on exposure to ACH, Wire Transfers, SWIFT, RTP, I Merchant Payments, and high-volume transaction processing platforms.
Candidate should have good echnical lead experience with strong exposure to Kubernetes, Docker, CI/CD pipelines, DynamoDB, Oracle, Kafka, OAuth2/JWT security, and Generative AI technologies including RAG, LLMs, Prompt Engineering, and GitHub Copilot.
We are Looking for a strong candidate who can come in Person Interview to Customer Location only
Key Skills
Backend: Java 8/11/17, , Spring Boot, Spring MVC, Spring WebFlux, Hibernate, JPA, Microservices, REST APIs, GraphQL
Frontend: Angular (2/8/11/13/17), React, TypeScript, JavaScript, HTML5, CSS3, Redux, RxJS
Cloud & DevOps: AWS (Lambda, API Gateway, DynamoDB, CloudWatch, S3, IAM, Step Functions), Docker, Kubernetes, Jenkins, GitHub Actions, AWS CodePipeline, Terraform
Databases: Oracle PL/SQL, PostgreSQL, MySQL, SQL Server, DynamoDB
Messaging & Integration: Kafka, Event-Driven Architecture, REST/SOAP Services
AI/GenAI: RAG, LLMs, Prompt Engineering, GitHub Copilot, AI-Assisted Development
Candidate should have Strong hands-on experience in modern Java Full Stack development with cloud-native microservices architecture.
Extensive AWS, Kubernetes, Kafka, and DevOps expertise suitable for enterprise digital transformation initiatives.
Good leadership experience managing Agile teams, conducting code reviews, mentoring developers, and driving architecture decisions.
Hands-on experience implementing AI-enabled solutions leveraging LLMs, RAG, and Generative AI technologies

Key Skills

Education

Any Graduate