
10,000+ employees
Founded 1987
💼 Consulting
🛡️ Insurance
🔒 Cybersecurity
Consulting • Insurance • Cybersecurity
GFT Technologies is a leading technology and digital transformation company that specializes in providing advanced solutions for consent management and data privacy compliance. Their flagship product, Cookiebot, enables businesses to automate user consent collection efficiently, ensuring adherence to complex privacy regulations such as GDPR and CCPA. GFT's solutions facilitate seamless integration into existing digital infrastructures, helping over 600,000 customers globally manage user data transparently and securely.
🔥 0 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required
Where this job comes from
Posted on GFT Technologies's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

10,000+ employees
Founded 1987
💼 Consulting
🛡️ Insurance
🔒 Cybersecurity
Consulting • Insurance • Cybersecurity
GFT Technologies is a leading technology and digital transformation company that specializes in providing advanced solutions for consent management and data privacy compliance. Their flagship product, Cookiebot, enables businesses to automate user consent collection efficiently, ensuring adherence to complex privacy regulations such as GDPR and CCPA. GFT's solutions facilitate seamless integration into existing digital infrastructures, helping over 600,000 customers globally manage user data transparently and securely.
• Plan and execute functional, integration, regression, and performance testing strategies. • Design and execute tests for applications based on Artificial Intelligence and Large Language Models (LLMs). • Assess the quality of AI-generated responses based on accuracy, coherence, tone, safety, and bias criteria. • Develop and maintain automated testing frameworks and test suites. • Validate solutions integrated with RAG pipelines, knowledge bases, and vector databases. • Perform testing of APIs, backend services, and integrations between systems. • Identify risks, defects, and edge cases related to AI model behavior. • Perform data integrity, reconciliation, and quality validations. • Coordinate regression testing related to releases, fixes, and infrastructure changes. • Collaborate with development, product, and business analysis teams to ensure solution testability. • Conduct defect analysis and prioritization based on business impact. • Monitor quality metrics, test coverage, and automation levels. • Prepare executive reports and continuous improvement recommendations. • Support production incident investigations and root cause analyses. • Mentor team members and promote software quality best practices.
• Solid experience in Software Quality Assurance (QA) or Quality Engineering. • Experience in senior or technical QA leadership roles. • Advanced or fluent English for daily communication. • Knowledge of functional, integration, regression, and performance testing strategies. • Experience with test automation using Selenium, Playwright, Robot Framework, or similar tools. • Knowledge of development using Java and Python. • Experience with API automation and validation. • Knowledge of database queries, data validation, and reconciliation. • Experience with CI/CD pipelines and tools such as Jenkins, GitHub, or similar platforms. • Knowledge of Large Language Model (LLM) architecture and behavior. • Experience with Prompt Engineering and evaluating AI-generated responses. • Knowledge of LangChain and/or LangGraph. • Experience with Retrieval-Augmented Generation (RAG) pipelines. • Knowledge of vector databases and similarity searches. • Knowledge of integration protocols and testing tools connected via MCP. • Knowledge of security, bias, and AI system validation testing methodologies. • Preferred: experience in securitization, capital markets, or financial assets. • Preferred: experience testing complex financial platforms. • Preferred: advanced knowledge of embeddings, tokenization, attention mechanisms, and LLM inference. • Preferred: experience testing agentic solutions (AI Agents). • Preferred: knowledge of monitoring AI model quality at scale. • Preferred: experience in technical leadership and developing QA teams. • Preferred: experience with AI and Machine Learning tools applied to test automation.
• Multi-benefit card – choose how and where to use it. • Tuition assistance for undergraduate, graduate, MBA, and language courses. • Certification incentive programs. • Flexible working hours. • Competitive salaries. • Annual performance review with a structured career development plan. • International career opportunities. • Wellhub and TotalPass. • Private pension plan. • Childcare assistance. • Medical insurance. • Dental insurance. • Life insurance.
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