Shift Technology - QA Engineer Intern (6 months)
Requirements
• You are currently in your final year (BAC+5, Master 2 or engineering school) in Computer Science, Software Engineering, Data, or AI. • You have solid programming skills in Python, TypeScript/JavaScript, or C#. • Python • TypeScript/JavaScript • You have a good grasp of software testing fundamentals, Git, and REST APIs. • software testing fundamentals • REST APIs • You are autonomous and rigorous, with a strong sense of ownership. • Nice to have: hands-on experience with LLMs, prompt engineering, or agent frameworks (LangChain, Copilot, OpenAI/Claude APIs); test automation (Playwright, Cypress); CI/CD (GitHub Actions, TeamCity); Docker/Kubernetes; SQL or lightweight dashboards (Streamlit, React, FastAPI). • You can provide a 6-month internship agreement (Convention de stage) signed by your school/university, starting around February 2027 • Language requirements: English is mandatory at a fluent level (French is a plus). • English • Why join Shift Technology as a QA Engineer Intern? • 🤸♀️Flexibility, autonomy and adaptability are part of our core values : We are a horizontal organization without bureaucracy (65% of staff are in tech roles) but optimal and reduced line management, focus on delivery and development while having a hybrid model. • 🧠Learn from inside an AI leader tech company : Join the 13th French Licorne providing hands on training, workshop and sessions with highly experienced AI research Team. • 💶Your commitment, our investment : 1500€ gross monthly gratification, high conversion rate to full time employee, dedicated HR partner, regular reviews and feedback sessions with your team. • 🌍Be part of an international and diverse tech firm : Full english speaking environment with 55 different nationalities across the world and 11 offices locations (Paris, Singapore, Tokyo, Sao Paulo, Mexico City, Boston, Madrid, London, Toronto, Berlin...) • 🤝Dealing with big clients and developing business skills & knowledge : Real life experience with Insurance business challenges inside the world of AI. • What is next ? 🎯 • What is next ? 🎯 • If your application and experience meet our requirements, you can expect : • Talent Acquisition interview (30 min) • Technical interview 1 (60 min) • Hiring manager interview (60 min) • The interview process can take 2 to 3 weeks, depending on the interviewer's availability. Be sure that we are doing our best to get back to you with an answer as fast as possible. If you are not getting an update on your application after 10 days, please reach out to our email address. • To support our permanent, full time employees at every stage of their careers and lives, we provide a competitive total rewards and benefits package. Here are the global benefits we’d like to highlight: • Flexible remote and hybrid working options • Competitive Salary and a variable component tied to personal and company performance • Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to focus on learning and personal growth • Generous PTO and paid holidays • Mental health benefits • 2 MAD Days per year (Make A Difference Days for paid volunteering) • Additional benefits may be offered by country, based on your eligibility - ask your recruiter for more information. Intern and Apprentice positions may receive some of these benefits - ask your recruiter for more details. • AI tools are used to help review applications for this role. Read our AI in Recruitment Notice for what the AI considers, how to request a human review, and our most recent bias audit. • AI in Recruitment Notice
Responsibilities
• You’ll own an end-to-end project that moves a real QA bottleneck from manual effort to intelligent tooling. You will build something the QA engineering teams use in their day-to-day work, not a proof of concept that stays on a shelf. Your subject will be defined with you during the selection process, within one of these example missions: • AI-driven release validation: build a “release copilot” that analyzes release tickets and code changes to compute risk scores and generate risk-based test plans. It also helps run bug bash sessions (scope, assignment, triage, duplicate detection) and drafts test reports and release notes. • AI-driven release validation: • Functional coverage and test gap analysis: use code intelligence and LLMs to detect shipped features, feature flags, and endpoints, map them against environment configurations and automated regression suites, and show untested areas in a live coverage dashboard. • Functional coverage and test gap analysis: • Synthetic test data and environment provisioning: design a data generation and seeding pipeline (CLI / API) that produces realistic, deterministic, and privacy-compliant datasets, so teams can provision and reset test environments on demand, integrated into CI/CD. • Synthetic test data and environment provisioning: • Along the way, you’ll learn how QA, Engineering, and Product work together to ship AI software to insurers around the world. Your project will go beyond a prototype: you will validate it on real releases, hand it over with documentation, and present the results to leadership. • Your profile and requirements✅:
Benefits
• 2 MAD Days per year (Make A Difference Days for paid volunteering) • Additional benefits may be offered by country, based on your eligibility - ask your recruiter for more information. Intern and Apprentice positions may receive some of these benefits - ask your recruiter for more details. • AI tools are used to help review applications for this role. Read our AI in Recruitment Notice for what the AI considers, how to request a human review, and our most recent bias audit.
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