QA Engineer | Branża Edukacyjna

Edge One Solutions is a community of over 350 experts, part of the Euvic Group with 5500 members. The client is part of one of the largest European groups in education and digital technology, supporting millions of users including teachers, students, and educational institutions. The organization is transitioning from traditional educational materials to intelligent digital ecosystems that support the teaching process, focusing on data-driven product development, automation, and continuous user experience improvement.

• Experience in test automation using Python and pytest
• Experience testing APIs, especially services based on FastAPI
• Practical knowledge of AWS services such as S3, Aurora, Glue, Step Functions, and CloudWatch
• Good knowledge of SQL and experience validating data in relational databases
• Experience validating JSON data, schema checking, and contract testing
• Ability to test REST APIs including integration, contract, and regression tests
• Experience verifying data processing and storage in database and storage systems
• Familiarity with working with logs, metrics, and alerts for system quality monitoring
• Ability to collaborate with backend, data engineering teams, and architects
• Automation-first approach
• English language proficiency at B2/C1 level

Nice to have:

• Knowledge of AI or ML topics, especially in search, recommendation, or content enrichment
• Experience with vector databases
• Familiarity with CI/CD tools such as Bitbucket Pipelines or similar
• Experience validating AI/LLM model outputs including quality, consistency, and determinism assessment

• Designing, developing, and maintaining automated tests for APIs, data pipelines, and platform services
• Ensuring data quality and correctness in ingestion, enrichment, and content distribution processes
• Validating JSON schemas and shared data models used by various systems
• Testing REST APIs including contract, integration, and regression tests
• Verifying data processing and storage in relational databases and object storage
• Monitoring platform operation using logs, metrics, and alerts
• Collaborating with product and engineering teams to implement quality best practices early in product development

Work mode: Remote