QA Engineer

Job Overview

Data Serv/xFact is seeking a QA Engineer to serve as the subject matter expert for Quality Assurance. You will test automation for our enterprise web, mobile, and backend products, and help evaluate and improve AI/LLM‑powered features, including how they’re tested, measured, and released. You’ll ensure the quality and reliability of our products while helping define and execute the crucial testing and evaluation workflows for our AI‑driven features.

xFact and Data Serv bring together nearly 40 years of experience delivering innovative technology solutions to public and commercial sectors. We combine a strong foundation in technology with a fast‑growing, mission‑driven team focused on building impactful solutions for our existing and growing customer base that spans the country. Our culture is collaborative, driven, and focused on doing meaningful work that creates real value.

• team player
• excellent written and verbal communicator
• tech savvy
• strategic thinker
• service oriented
• motivated
• self‑disciplined
• professional
• flexible in a fast‑paced environment
• works independently with minimal supervision
• exhibits strong work ethics
• detail oriented
• handles demanding situations/timelines
• organized
• responsible/dependable
• willing to receive/provide feedback to improve performance
• supportive
• strong desire to support and mentor

• Test Planning & Execution – Design, develop, and execute manual and automated test plans and test cases for enterprise features across web, mobile, and backend systems
• Automation Development – Develop and maintain automated test scripts (e.g., Selenium, Playwright, Cypress) using a scripting/programming language such as Python or JavaScript to increase efficiency and coverage
• Regression & Release Testing – Run regression suites before releases to ensure existing functionality remains stable as new features and models are deployed
• Defect Management – Identify, document, prioritize, and track defects using tools like Jira, and collaborate with developers to drive timely resolution
• CI/CD & Process Improvement – Integrate tests into CI/CD pipelines (e.g., Git Lab CI) and participate in continuous improvement of QA processes, tools, and methodologies

• Evaluation Planning – Partner with Product Managers and Data Scientists to define scope, metrics, and goals for evaluating AI and LLM‑powered features
• Data Curation & Preparation – Coordinate collection, labeling, and preparation of datasets used for AI model testing and human‑in‑the‑loop evaluations
• Evaluation Execution & Coordination – Help organize evaluation sprints, red‑teaming sessions, and feedback loops, acting as a point of contact between AI/ML, Product, QA, and external evaluators (if applicable)
• Results Analysis & Reporting – Compile and summarize evaluation results, providing clear, actionable feedback on model performance and readiness for production deployment
• Documentation & Traceability – Maintain detailed documentation of evaluation criteria, test data, prompts, and results, ensuring traceability and auditability for AI/LLM releases

• Use LLMs and AI tools (e.g., ChatGPT, Copilot, AI testing platforms) to generate test ideas, draft test cases, and assist with log/defect analysis, then validate and refine these outputs
• Help evaluate and adopt AI‑powered QA tools (e.g., self‑healing locators, intelligent test selection, test impact analysis)
• Contribute to best practices and guardrails for using AI safely and effectively in QA and evaluation workflows

Bachelor’s degree in computer science, or related professional experience in Quality Assurance.

2+ years in Software Quality Assurance or a similar role.

• Experience designing and executing manual and automated tests
• Proficiency with at least one scripting/programming language (e.g., Python, JavaScript/Type Script, or Java)

• Familiarity with test management tools (e.g., Test Rail or similar)
• Defect tracking systems (e.g., Jira)
• Version control (e.g., Git)

• Demonstrates excellent written and verbal…