Job Summary: We are seeking a QA Engineer to ensure the quality and reliability of our platform, validating knowledge extraction and error-free consumption of information through our applications. Key Highlights: 1. Ensure the quality and reliability of the Velorum platform. 2. Validate Knowledge Graphs and conduct conversational AI testing. 3. Collaborate with DevOps to automate continuous integration. **Description:** ---------------- At **Velorum**, we are looking for a **QA Engineer**, who will be responsible for ensuring the quality and reliability of the platform. Their mission will be, on one hand, to validate that knowledge extraction from diverse sources (C\#, Java, SQL, Power BI code) is processed correctly, and on the other hand, that this information is consumed without errors through our suite of applications. **Main Responsibilities** * Knowledge Graph Validation: Ensure that generation and enrichment algorithms accurately and coherently transform code and metadata into various elements of the graph. * Conversational AI Testing: Validate the accuracy of natural-language responses, verifying that the technical and functional information delivered matches the reality of the graph. * Frontend Application Testing: Execute regression and usability tests on applications, ensuring visual and navigational consistency. * Test Automation: Experience in implementing and architecting end-to-end (e2e) tests. * Continuous Integration Automation: Collaborate with the DevOps team to integrate automated tests into continuous update workflows for knowledge sources (GitHub, Bitbucket). **Requirements:** --------------- **Technical Requirements:** * Software Testing Experience: Minimum **5 years** in QA roles, preferably within SaaS platforms or data analytics tools. * Languages and Technologies: Ability to validate language processing in C\#, Java, SQL, and BI tools such as Power BI. * Databases: Experience testing on SQL Server, Oracle, Snowflake, or Azure SQL. * Graph Knowledge (Desirable): Familiarity with graph structures and semantic modeling. * Automation Tools: Experience with frameworks such as Selenium, Cucumber, Playwright, Cypress, or API testing tools (REST/SOAP). * Environments: Familiarity with deployments on Kubernetes and Docker. **Soft Skills:** * Analytical Ability: Skill in understanding complex systems and uncovering non-obvious dependencies or code structures. * Attention to Detail: Critical for validating the automatic generation of technical and functional documentation. * Self-Management in Dynamic Environments: Ability to work autonomously in a constantly evolving environment, taking initiative across various processes and teams. * Communication: Ability to interact effectively with different team members, serving as a bridge to ensure functional requirements are met.