Duties: Duties We are seeking to onboard Manual QA Engineers. These roles will support ongoing quality assurance across our data-intensive web applications and microservice-based platforms, which span multiple UI and API testing frameworks. The testing landscape includes both mature and modern stacks, requiring candidates who can maintain existing test suites while contributing to forward-looking automation initiatives. Our PMs and technologists are concentrated in Portugal: candidates must be very strong communicators, comfort with agile work environment, and have familiarity working across multiple time zones Manual QA Engineers Specific Requirements Test case design and execution (functional, regression, smoke, and UAT testing) Defect tracking in JIRA, along with efficient creation of defect evidence (screen recordings) API testing using Postman or curl Exploratory and scenario-based testing, and data-driven web apps Familiarity with multi-environment validation and Allure report review Experience testing applications that leverage AI-powered capabilities, including validation of AI-generated outputs, recommendations, summaries, search results, or conversational experiences Ability to assess AI-driven functionality for accuracy, consistency, reliability, usability, and business relevance Experience designing test scenarios for edge cases, ambiguity, hallucinations, and unexpected model behavior Experience testing and validating complex applications using devTools on multiple browsers and viewports for web-based and mobile-based users Skills: General Candidate Characteristics Demonstrated QA expertise, with strong grounding in testing methodologies, defect management, and quality metrics. Minimum 3 years of relevant experience, preferably in enterprise or SaaS environments Minimum 1 year of experience in AI-enabled product environments Ability to align testing strategies with business goals and data-driven workflows Very Strong communication and collaboration skills within agile teams Highly proficient in JIRA Version control (Git, GitHub), branching and PR workflows CI/CD concept familiarity (GitHub Actions pipelines) Agile/Scrum familiarity (sprint planning, retrospectives) Docker for local or containerized test execution Experience with multiple environment management (Alpha/Beta/Prod) Allure reporting and test artifact analysis Strong analytical and documentation skills, problem-solving skills AI & Modern Product Quality (Preferred) Familiarity with Generative AI concepts, Large Language Models (LLMs), AI copilots, and AI-assisted workflows Experience testing AI-powered product features or workflows Ability to evaluate AI-generated outputs for accuracy, consistency, relevance, and user value Practical experience using AI tools (e.g., ChatGPT, Claude, Gemini, Cursor, Copilot, or similar) to improve testing efficiency and productivity Understanding of prompt design, prompt testing, and AI output validation techniques Awareness of AI risks such as hallucinations, bias, prompt sensitivity, and inconsistent responses Preferred (not required) Background Financial or analytics domain experience, including validation of KPIs, CAGR, and model accuracy Basic SQL for backend validation Comfort with Excel and PDF-based result verification Test automation experience Education: Requires a bachelor's degree in computer science, engineering, or a related field is typically preferred, Relevant certifications in software testing, such as ISTQB (International Software Testing Qualifications Board), can be advantageous. Previous experience in software testing or quality assurance roles is highly desirable. Additional coursework, certifications, or practical experience in Artificial Intelligence, Generative AI, Machine Learning, Data Analytics, Prompt Engineering, or AI-assisted software development are considered a strong plus. Hours Per Day: 8.00 Department: PT814832 : S&CF Assets - MVIP - PT814832 Job Category: Information Technology
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