QA Engineer

We want you!

DataServ/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.

Why You’ll Love Us

We care. We coach. We lead. We continue to use this approach in all we do for our culture. It’s truly the people who make working here great. We are a collaborative environment and supportive of one another, providing flexibility when needed. As lifelong learners, promoting from within is a priority to provide our team members opportunities for internal mobility and growth. DataServ/xFact offer a competitive compensation plan including paid holidays, PTO, discretionary bonuses, 401K (with match), medical, dental, vision, life, STD, and LTD benefits along with many other inclusive benefits and perks!

Who We Are

xFact and DataServ offer a collaborative, mission-driven workplace where technology supports real people and real outcomes. With nearly 40 years of experience and a growing footprint in the public sector, our teams work together to build practical, innovative solutions that matter. We value trust, clarity, and impact—and we give our employees the opportunity to do meaningful work, grow their skills, and contribute without unnecessary complexity.

Qualities We Want In You

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

What You’ll Do

Quality Assurance & Test Automation
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. GitLab CI) and participate in continuous improvement of QA processes, tools, and methodologies.


AI & LLM Evaluation
Evaluation Planning - Partner with Product Managers and Data Scientists to define scope, metrics, and goals for evaluating AI and LLM-powered features (e.g., accuracy, robustness, fairness, hallucination rate, safety).
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.


AI for QA (Tooling & Enablement)
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.
What We Require

Education:
Bachelor’s degree in computer science, or related proessional experience in Quality Assurance
Experience:
2+ years in Software Quality Assurance or a similar role.
Skills:
Experience designing and executing manual and automated tests
Proficiency with at least one scripting/programming language (e.g., Python, JavaScript/TypeScript, or Java)
Tools
Familiarity with test management tools (e.g., TestRail or similar),
Defect tracking systems (e.g., Jira)
Version control (e.g., Git).


Additional proficiencies we seek:
Demonstrates excellent written and verbal communication skills, in both collaborative team and customer-facing environments
Candidates are required to complete a drug test and background check
DataServ/xFact is an equal opportunity employer and does not discriminate in hiring or employment, in accordance with the requirements of all applicable laws, including race, color, religion, national origin, ancestry, age, gender, marital status, military status, sexual orientation, disability, or medical condition.
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