Looking for Java Tech Lead C2C jobs Urgent Need

Position: Java Tech Lead

Location: Jacksonville, FL (Onsite) – Need Local Only Local Profile

Duration: 8+ months

Exp Level: 12+ years

Need to go for client In-Person

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 technical 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.

Education: At least a bachelor’s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or closely related field is required.