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# Java Backend Software Engineer

- **Company:** Kforce Inc.
- **Location:** Westlake, TX, United States
- **Contract:** Contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Architectural Patterns, Automation of Tests, Code Review, Databases, Continuous Integration, Database Queries, Openapi, Data Storage Technologies, GitHub Copilot, Delivery Pipeline, Claude Code, Spring-boot, Backend, Event Driven Architecture, Apache Kafka, Api Design, Restful APIs, Amazon Simple Queue Service (SQS), Stream Processing, Software Version Control, Microservices
- **Published:** November 7, 2026
- **Apply:** https://www.dice.com/job-detail/04cafa8a-26d5-4c4d-97a4-434a3a3c6a08

## About the Role

* Working experience with Java and Spring Boot for backend microservice development, including RESTful API design and integration
 * Familiarity with cloud deployment (AWS preferred): deploying and operating containerized services
 * Delivery pipeline experience: source control, CI/CD workflows, and automated testing as standard practice
 * Basic observability: writing structured logs, reading dashboards, understanding what a distributed trace tells you
 * Database fundamentals: writing queries, understanding indexes, choosing appropriate data storage patterns
 * Experience with version control and collaborative development workflows (branching, pull requests, code review)

Preferred:

 * Experience in financial services or a regulated, high-reliability industry
 * Exposure to event-driven architectures or streaming systems (Kafka, SQS, or similar)
 * Familiarity with OpenAPI specification and contract-first API design
 * Experience with AI-assisted development tools (GitHub Copilot, Claude Code, or similar)

## Description

Kforce has a client in Westlake, TX that is seeking a Java Backend Software Engineer., * Implement backend microservices and APIs independently within established architectural patterns

 * Write production-quality code: tested, observable, documented, and ready to operate
 * Participate actively in code reviews: provide useful feedback to peers and apply feedback to your own work promptly
 * Diagnose and resolve issues in production with appropriate urgency and communication
 * Identify scope gaps and technical risks in your work early and raise them before they become blockers
 * Learn and apply the team's engineering practices (CI/CD, observability, API design, testing) consistently
 * Apply AI-assisted development tooling as a standard part of your workflow