Java Tech Lead C2C
Listed on 2026-08-30
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Software Development
Java Developer, Backend Developer, Cloud Engineer - Software
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, Dev Ops, 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 Git Hub 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 Web Flux, Hibernate, JPA, Microservices, REST APIs, GraphQL
Frontend:
Angular (2/8/11/13/17), React, Type Script, JavaScript, HTML5, CSS3, Redux, RxJS
Cloud & Dev Ops: AWS (Lambda, API Gateway, DynamoDB, Cloud Watch, S3, IAM, Step Functions), Docker, Kubernetes, Jenkins, Git Hub Actions, AWS Code Pipeline, 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, Git Hub 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 Dev Ops 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.
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