Senior Java Tech Lead: Cloud-Native Microservices & AI

TALENT Software Services; Jacksonville (FL); On-site; USD 130,000 - 185,000; Full time

Job summary

TALENT Software Services in Jacksonville, FL seeks a Java Tech Lead with 12+ years designing enterprise-scale apps. You will guide modern Java full-stack initiatives, drive cloud-native microservices architecture, and mentor Agile teams to deliver scalable solutions in healthcare and financial services domains.

Expect hands-on leadership across Kubernetes, Docker, CI/CD, and AI-enabled development with LLMs and RAG.

Qualifications

• 12+ years of experience designing and developing enterprise-scale applications.
• Strong expertise in Java 8/11/17, Spring Boot, microservices, Kafka, AWS, Angular/React.
• Cloud-native architecture, API development, DevOps, and distributed systems knowledge.
• Domain experience across Healthcare, Banking & Payments, Financial Services, Telecom.
• Hands-on experience with ACH, Wire Transfers, SWIFT, RTP, Merchant Payments, and high-volume transaction processing.

Responsibilities

• Lead modern Java Full Stack development initiatives.
• Drive cloud-native microservices architecture and technical design.
• Manage and guide Agile development teams; conduct code reviews.
• Mentor developers and provide technical guidance; drive architecture decisions.
• Support enterprise digital transformation initiatives; troubleshoot complex issues across the stack.

Skills

Java Full Stack

Java 8/11/17

Spring Boot

Microservices

AWS

Kafka

Angular/React

Kubernetes

Docker

DevOps / CI/CD

Technical Leadership

Healthcare Domain

Tools

Jenkins

GitHub Actions

AWS CodePipeline

Terraform

Job description

TALENT Software Services in Jacksonville, FL seeks a Java Tech Lead with 12+ years designing enterprise-scale apps. You will guide modern Java full-stack initiatives, drive cloud-native microservices architecture, and mentor Agile teams to deliver scalable solutions in healthcare and financial services domains.

Expect hands-on leadership across Kubernetes, Docker, CI/CD, and AI-enabled development with LLMs and RAG.