Senior Qa Testing Engineer

AILY LABS
Barcelona, Spain
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Working hours
Regular working hours

Tech stack

Testing (Software) JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Data Analysis Automation of Tests BASIC (Programming Language) Code Coverage Software Quality Computer Programming Databases Continuous Integration
+29 more
Data Validation Database Applications Database Queries Database Testing Software Debugging Distributed Systems Mobile Application Software Python (Programming Language) Load Testing Log Analysis Reliability Engineering Software Reliability Testing Standard Sql Strategies of Testing Web Applications Performance Testing ReactJS Appium Large Language Models Deep Learning Backend Playwright Data Analytics React Native Virtual Agents Restful APIs Data Pipelines Api Management Web Api

Job description

Mission Still doing manual testing without seeing the bigger picture?Want to shape how AI-powered products are tested and launched at scale?Join one of Europe’s top AI tech hubs in Spain, Munich, or Cluj.Help build the future of intelligent software with quality at its core.At Aily Labs , we’re not just looking for testers; we’re growing the next generation of AI-aware QA Engineers who understand both product and automation.We’re looking for engineers who thrive at the intersection of product quality, automation, and data-driven systems.Someone with an engineer mindset who enjoys building scalable test frameworks, investigating root causes, and improving development workflows.Strong communicators who can collaborate effectively across engineering, product, and data teams will excel in this role.Your profile Core Responsibilities Junior QA Engineer - 1-2 years Assist in developing and implementing testing strategies and processes to ensure high-quality software products.Work closely with team members and mentors to understand business objectives and translate them into practical quality requirements.Support the creation and maintenance of test plans and test cases to ensure adequate test coverage.Perform acceptance testing for web applications, mobile apps, and API integrations.Assist in the design and development of automated test scripts.Communicate effectively within the team to align QA objectives with overall business goals.Identify risks under supervision and contribute to mitigation strategies.1-2 years of experience in manual and automated testing of data-driven applications.~ Basic knowledge of automation frameworks such as Playwright or Appium.~ Basic coding experience in Python.~ Familiarity with testing web applications (ReactJS) and mobile applications (React Native).~ Some experience with testing API endpoints.~ Basic knowledge of SQL databases.~ Interest in end-to-end data testing and data analysis methodologies.~ Good problem-solving skills and eagerness to learn debugging and log analysis.~ Interest in performance and load testing.Mid QA Engineer - 3+ years Design and implement testing strategies to ensure product quality across web, mobile, APIs, and data pipelines.Build and maintain automated testing frameworks and expand test coverage across critical product areas.Own QA responsibilities for specific product features and ensure high reliability in releases.Develop and maintain end-to-end automated tests for UI, APIs, and data workflows.Collaborate with product managers, engineers, and data teams to translate business requirements into effective quality validation.Analyze quality metrics and test results to identify risks and recommend improvements.Participate in root cause analysis and debugging of complex production issues.Improve CI/CD quality processes and contribute to scalable test infrastructure.Contribute to performance, load, and reliability testing strategies.3+ years of experience in software testing (manual and automation).~ Strong experience with automation frameworks such as Playwright, Appium, or similar tools.~ Solid coding experience in Python/Javascript for automation development.~ Experience testing modern web and mobile applications.~ Experience testing REST APIs and backend services.~ Strong knowledge of SQL and data validation techniques.~ Familiarity with CI/CD pipelines and test automation integration.~ Understanding of test strategies for data pipelines and analytics-driven applications.~ Strong debugging, root cause analysis, and log analysis skills.~ Ability to independently deliver testing tasks and own QA responsibilities for features.Senior QA Engineer - 5+ years Define and drive QA strategy across multiple product areas to ensure scalable and reliable testing practices.Design and maintain advanced automation frameworks for UI, APIs, and data pipelines.Own quality standards and enforce best practices for test automation, CI/CD integration, and release validation.Lead QA efforts for major product initiatives and coordinate testing across multiple teams.Design and implement comprehensive testing strategies including functional, integration, performance, and reliability testing.Collaborate closely with engineering, product, and data teams to ensure quality is embedded in the development lifecycle.Analyze production incidents and establish preventive quality mechanisms.Drive improvements in test coverage, monitoring, and observability.Mentor QA engineers and guide the team in adopting automation and AI-assisted testing practices.Advocate for quality at the product level and influence engineering decisions that improve reliability.5+ years of experience in software quality engineering.~ Expertise in test automation architecture and framework design.~ Advanced Python programming skills for automation tooling.~ Strong experience testing complex distributed systems, APIs, and data pipelines.~ Deep understanding of CI/CD pipelines and quality gates.~ Experience with performance testing, monitoring, and reliability engineering.~ Ability to translate product and business requirements into scalable quality strategies.Someone who thrives at the intersection of product quality, automation, and data-driven systems.An engineer mindset who enjoys building scalable test frameworks and improving development workflows.A strong communicator who collaborates effectively with engineering, product, and data teams.Someone with a startup mindset-proactive, adaptable, and ready to take ownership of quality.Applicants must already have the legal right to work in Spain or Romania.Contract type: Permanent.Work policy: hybrid (2 days per week in the office) Aily Labs is a B2B SaaS company building an AI-powered decision intelligence app for enterprises.Our mobile-first platform combines company data with advanced machine learning, large language models and agentic AI to give business leaders clear, actionable insights in real time.Instead of traditional dashboards and reports, Aily delivers simple, personalized recommendations that help teams decide and act faster across finance, supply chain, R&D, commercial, and more.The app is designed to be intuitive for end users and easy to integrate for IT, so companies can move from analysis and indecision to confident, data-driven decisions every day.Founded in ** in Munich, Aily Labs has grown into a global team of 300+ people across Munich, Barcelona, Madrid, Cluj, and New York.Our mission is to democratize AI in business and enable leaders to Lead Boldly, turning complex data into decisions that drive real, measurable impact.

Requirements

1-2 years of experience in manual and automated testing of data-driven applications. ~ Basic knowledge of automation frameworks such as Playwright or Appium. ~ Basic coding experience in Python. ~ Familiarity with testing web applications (ReactJS) and mobile applications (React Native). ~ Some experience with testing API endpoints. ~ Basic knowledge of SQL databases. ~ Interest in end-to-end data testing and data analysis methodologies. ~ Good problem-solving skills and eagerness to learn debugging and log analysis. ~ Interest in performance and load testing. Mid QA Engineer - 3+ years Design and implement testing strategies to ensure product quality across web, mobile, APIs, and data pipelines. Build and maintain automated testing frameworks and expand test coverage across critical product areas. Own QA responsibilities for specific product features and ensure high reliability in releases. Develop and maintain end-to-end automated tests for UI, APIs, and data workflows. Collaborate with product managers, engineers, and data teams to translate business requirements into effective quality validation. Analyze quality metrics and test results to identify risks and recommend improvements. Participate in root cause analysis and debugging of complex production issues. Improve CI/CD quality processes and contribute to scalable test infrastructure. Contribute to performance, load, and reliability testing strategies. 3+ years of experience in software testing (manual and automation). ~ Strong experience with automation frameworks such as Playwright, Appium, or similar tools. ~ Solid coding experience in Python/Javascript for automation development. ~ Experience testing modern web and mobile applications. ~ Experience testing REST APIs and backend services. ~ Strong knowledge of SQL and data validation techniques. ~ Familiarity with CI/CD pipelines and test automation integration. ~ Understanding of test strategies for data pipelines and analytics-driven applications. ~ Strong debugging, root cause analysis, and log analysis skills. ~ Ability to independently deliver testing tasks and own QA responsibilities for features. Senior QA Engineer - 5+ years Define and drive QA strategy across multiple product areas to ensure scalable and reliable testing practices. Design and maintain advanced automation frameworks for UI, APIs, and data pipelines. Own quality standards and enforce best practices for test automation, CI/CD integration, and release validation., 5+ years of experience in software quality engineering. ~ Expertise in test automation architecture and framework design. ~ Advanced Python programming skills for automation tooling. ~ Strong experience testing complex distributed systems, APIs, and data pipelines. ~ Deep understanding of CI/CD pipelines and quality gates. ~ Experience with performance testing, monitoring, and reliability engineering. ~ Ability to translate product and business requirements into scalable quality strategies. Someone who thrives at the intersection of product quality, automation, and data-driven systems. An engineer mindset who enjoys building scalable test frameworks and improving development workflows. A strong communicator who collaborates effectively with engineering, product, and data teams. Someone with a startup mindset-proactive, adaptable, and ready to take ownership of quality. Applicants must already have the legal right to work in Spain or Romania.

About the company

Barcelona, España

Mission Still doing manual testing without seeing the bigger picture? Want to shape how AI-powered products are tested and launched at scale? Join one of Europe’s top AI tech hubs in Spain, Munich, or Cluj. Help build the future of intelligent software with quality at its core., Work policy: hybrid (2 days per week in the office) Aily Labs is a B2B SaaS company building an AI-powered decision intelligence app for enterprises. Our mobile-first platform combines company data with advanced machine learning, large language models and agentic AI to give business leaders clear, actionable insights in real time. Instead of traditional dashboards and reports, Aily delivers simple, personalized recommendations that help teams decide and act faster across finance, supply chain, R&D, commercial, and more. The app is designed to be intuitive for end users and easy to integrate for IT, so companies can move from analysis and indecision to confident, data-driven decisions every day. Founded in ** in Munich, Aily Labs has grown into a global team of 300+ people across Munich, Barcelona, Madrid, Cluj, and New York. Our mission is to democratize AI in business and enable leaders to Lead Boldly, turning complex data into decisions that drive real, measurable impact.

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