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.
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+ yearsin 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
