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Alteia • Labège, Occitania, France
Role & seniority: Lead QA Engineer (senior/lead level)
Stack/tools: QA automation (Cypress, Playwright, Selenium), API testing (Postman), programming (JavaScript or Python), CI/CD (Git, pipelines)
Define and implement the QA strategy for the platform (risk-based balance of manual vs. automated testing)
Build, maintain, and scale the automation framework (UI, API, performance); drive key technical decisions
Investigate complex issues, perform root-cause analysis with developers, and promote a quality culture across teams
Engineering degree (master preferred) and 5+ years QA experience, lead/senior level
SaaS/enterprise software experience
Mastery of automation frameworks (Cypress/Playwright/Selenium) and API testing (Postman)
Proficiency in JavaScript or Python; familiarity with CI/CD tooling (Git)
Strong attention to detail, proactive quality mindset
Fluent English and excellent communication
Experience mentoring engineers and driving quality practices across teams
Background testing complex AI/big data SaaS platforms
Location & work type: Not specified; full-time employment implied by role; international team noted.
Alteia is a leading enterprise AI software company that empowers organizations to accelerate their digital transformation by harnessing the power of visual intelligence. Our cutting-edge platform enables customers across various industries (such as Energy, Grid Infrastructure, Environment, Manufacturing, and more) to efficiently manage, analyze, and operationalize vast amounts of visual data (images, videos, Lidar, etc.). By combining computer vision, geospatial analysis, and artificial intelligence, we help businesses build and deploy AI applications at scale, turning complex data into actionable insights and tangible business outcomes. We foster a collaborative, innovative, and fast-paced environment where technical excellence and continuous learning are highly valued.
Job Summary
As our Lead QA Engineer, you are the guardian of quality across our entire platform. You don't just find bugs; you build the strategy and processes to prevent them. Blending deep technical expertise with a strategic vision, you will be responsible for ensuring our products meet the highest standards of reliability, performance, and user experience.
💡 Define the QA Strategy: Design and drive the quality vision for the platform. Determine the optimal balance between manual and automated testing using a risk-based a
ppro🤖 Drive Test Automation: Build, maintain, and scale our automation framework (UI, API, performance). Make key technical decisions to ensure efficiency and scalabil
ity.🔎 Investigate & Troubleshoot: Lead deep-dive investigations into complex issues, and collaborating with developers to identify root cau
ses.✅ Champion a Quality Culture: Act as the go-to quality expert within the development teams. Share best practices and mentor other engineers on effective testing strategies.
🎓 Education: Engineering degree or equivalent (Master's l
evel).💼 Experience: 5+ years of experience as a QA Engineer, with a proven track record in a lead or senior-level role. Saas or enterprise software (erp, crm…) exper
ience.🛠️ Technical Expertise: Mastery of one or more automation frameworks (e.g., Cypress, Playwright, Selenium) and API testing tools (e.g., Postman). Proficiency in JavaScript or Python is essential. Familiarity with CI/CD pipelines (Git,
etc.).🧠 QA Mindset: A keen eye for detail, a passion for quality, and a proactive approach to anticipating issues before they
arise.🗣️ Skills & Languages: Fluent English is a must. Excellent communication skills to clearly articulate risks and recommendations.
Why Join Alteia?
🚀 Full Ownership: Take the lead on our quality strategy and have a direct impact on the reliability of our
product.🧠 Unique Challenges: Tackle the challenge of testing a complex AI platform at the intersection of Big Data a
nd SaaS.🙌 A Culture of Excellence: Join a passionate team that will empower you to implement your vision.🤝 Join a passionate, talented, and collaborative internation al team.📚 Opportunities for professional growth and learning in the rapidly evolving field of AI and big data.