AI QA Engineer - Automation & Data Testing (Madrid)

AI QA Engineer - Automation & Data Testing (Madrid)

04 ago
|
Aily Labs
|
Madrid

04 ago

Aily Labs

Madrid

ph3Mission /h3 pStill 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. /p pAt bAily Labs /b, we’re not just looking for testers; we’re growing the next generation of AI-aware QA Engineers who understand both product and automation. You’ll work closely with cross-functional teams to ensure excellence in every release. /p pWe’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. /p h3Your profile /h3 h3Core Responsibilities /h3 bJunior QA Engineer – 1–2 years /b ul liAssist in developing and implementing testing strategies and processes to ensure high-quality software products. /li liWork closely with team members and mentors to understand business objectives and translate them into practical quality requirements. /li liIdentify, document, and track defects while collaborating with cross-functional teams to resolve issues. /li liSupport the creation and maintenance of test plans and test cases to ensure adequate test coverage. /li liPerform acceptance testing for web applications, mobile apps, and API integrations. /li liAssist in the design and development of automated test scripts. /li liCommunicate effectively within the team to align QA objectives with overall business goals. /li liIdentify risks under supervision and contribute to mitigation strategies. /li /ul bQualifications / Experience /b ul li1–2 years of experience in manual and automated testing of data-driven applications. /li liBasic knowledge of automation frameworks such as Playwright or Appium. /li liBasic coding experience in Python. /li liFamiliarity with testing web applications (ReactJS) and mobile applications (React Native). /li liSome experience with testing API endpoints. /li liBasic knowledge of SQL databases. /li liInterest in end-to-end data testing and data analysis methodologies. /li liGood problem-solving skills and eagerness to learn debugging and log analysis. /li liInterest in performance and load testing. /li /ul bMid QA Engineer – 3+ years /b ul liDesign and implement testing strategies to ensure product quality across web, mobile, APIs, and data pipelines. /li liBuild and maintain automated testing frameworks and expand test coverage across critical product areas.



/li liOwn QA responsibilities for specific product features and ensure high reliability in releases. /li liDevelop and maintain end-to-end automated tests for UI, APIs, and data workflows. /li liCollaborate with product managers, engineers, and data teams to translate business requirements into effective quality validation. /li liAnalyze quality metrics and test results to identify risks and recommend improvements. /li liParticipate in root cause analysis and debugging of complex production issues. /li liImprove CI/CD quality processes and contribute to scalable test infrastructure. /li liContribute to performance, load, and reliability testing strategies. /li /ul bQualifications / Experience /b ul li3+ years of experience in software testing (manual and automation). /li liStrong experience with automation frameworks such as Playwright, Appium, or similar tools. /li liSolid coding experience in Python/Javascript for automation development. /li liExperience testing modern web and mobile applications. /li liExperience testing REST APIs and backend services. /li liStrong knowledge of SQL and data validation techniques. /li liFamiliarity with CI/CD pipelines and test automation integration. /li liUnderstanding of test strategies for data pipelines and analytics-driven applications. /li liStrong debugging, root cause analysis, and log analysis skills. /li liAbility to independently deliver testing tasks and own QA responsibilities for features. /li /ul bSenior QA Engineer – 5+ years /b ul liDefine and drive QA strategy across multiple product areas to ensure scalable and reliable testing practices. /li liDesign and maintain advanced automation frameworks for UI, APIs, and data pipelines. /li liOwn quality standards and enforce best practices for test automation, CI/CD integration, and release validation. /li liLead QA efforts for major product initiatives and coordinate testing across multiple teams. /li liDesign and implement comprehensive testing strategies including functional, integration, performance, and reliability testing. /li liCollaborate closely with engineering, product, and data teams to ensure quality is embedded in the development lifecycle. /li liAnalyze production incidents and establish preventive quality mechanisms. /li liDrive improvements in test coverage, monitoring, and observability.



/li liMentor QA engineers and guide the team in adopting automation and AI-assisted testing practices. /li liAdvocate for quality at the product level and influence engineering decisions that improve reliability. /li /ul bQualifications / Experience /b ul li5+ years of experience in software quality engineering. /li liExpertise in test automation architecture and framework design. /li liAdvanced Python programming skills for automation tooling. /li liStrong experience testing complex distributed systems, APIs, and data pipelines. /li liDeep understanding of CI/CD pipelines and quality gates. /li liExperience with performance testing, monitoring, and reliability engineering. /li liStrong leadership and mentoring capabilities. /li liAbility to translate product and business requirements into scalable quality strategies. /li /ul h3Who We’re Looking For (All Levels) /h3 ul liSomeone who thrives at the intersection of product quality, automation, and data-driven systems. /li liAn engineer mindset who enjoys building scalable test frameworks and improving development workflows. /li liA problem solver who investigates root causes and ensures reliable solutions. /li liA strong communicator who collaborates effectively with engineering, product, and data teams. /li liSomeone with a startup mindset—proactive, adaptable, and ready to take ownership of quality. /li liReady to lead boldly by ensuring reliable AI-driven products that empower businesses to make confident decisions. /li liApplicants must already have the legal right to work in Spain or Romania. /li /ul h3Location details /h3 ul liLocations: Madrid, Barcelona and Cluj /li liContract type: Permanent. /li liWork policy: hybrid (2 days per week in the office) /li /ul h3Who are we? /h3 pAily 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. /p pInstead of traditional dashboards and reports, Aily delivers simple, personalized recommendations that help teams decide and act faster across finance, supply chain, RD, 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. /p pFounded in 2020 in Munich, Aily Labs has grown into a integral 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. /p h3About Us /h3 pLEARN MORE /p /p #J-18808-Ljbffr

📌 AI QA Engineer - Automation & Data Testing (Madrid)
🏢 Aily Labs
📍 Madrid

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