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# Java KDB Automation Tester

- **Company:** Kforce Inc.
- **Location:** Westlake, TX, United States
- **Contract:** Contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Databases, Continuous Integration, Financial Information EXchange, Github, Python (Programming Language), Linux System Administration, Unix Shell, Machine Learning, Apache Maven, Selenium, Feature Engineering, GitHub Copilot, Model Validation, Cypress (Programming Language), KDB+, Playwright, IBM UrbanCode Deploy, Cucumber (Software), Jenkins, Artifactory
- **Published:** November 4, 2026
- **Apply:** https://www.dice.com/job-detail/6017cc49-a34f-4218-8771-db5d4cb6e665

## About the Role

* Experienced in Serenity Cucumber Framework, Selenium, Playwright or Cypress
 * Experienced in Core Java and Java technologies
 * Experience with Capital Markets or Brokerage systems, especially order management
 * Experience with CI/CD tools such as GitHub, Maven, Jenkins, Artifactory, and uDeploy
 * Background in KDB+ or other time-series databases/vector databases
 * Familiar with Linux environments and Unix shell scripting
 * Familiarity with AI developer assist tools (e.g. GitHub Copilot)
 * Solid understanding of the FIX protocol and FIX engines
 * Ability to understand sophisticated, end-to-end systems and identify performance, scalability, or resilience bottlenecks

## Description

Kforce has a client that is seeking a Java KDB Automation Tester in Westlake, TX., * Design, develop, and optimize KDB+ databases and q analytics for high volume trading and market data

 * Develop Python-based AI and quantitative models for research, prediction, classification, and signal generation
 * Apply machine learning techniques to time?series data (feature engineering, model training, evaluation)
 * Build research and backtesting frameworks integrating AI models with historical data
 * Translate quantitative and ML research into robust, production-ready systems
 * Integrate AI models into real-time and batch pipelines
 * Optimize analytics and model evaluation for performance, stability, and scalability
 * Collaborate with quants, product owners, and engineering teams on model deployment and monitoring