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Résumé du poste

You will build and maintain test infrastructure and tooling to empower engineering teams to deliver high-quality software efficiently. Additionally, you will lead large-scale test automation initiatives and research AI-augmented agentic solutions to improve product quality.

Détails du poste

About Coursera + Udemy Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our blog. Why join us now? AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them. Shape what comes next By joining our team, you’ll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale. Job Overview: As a Senior Software Test Engineer (Test Infrastructure and Tooling) at Coursera, you’ll play a key role in helping teams produce high-quality software for millions of learners across the world. Actively seeking out opportunities for test coverage, infrastructure, and framework improvements, you’ll be an enabling force; allowing developers to deliver value to our customers quickly and safely. You’ll work closely with Infrastructure, and SRE teams to optimize build and test pipelines for speed, coverage, and reliability. Collaborating with Engineering leaders and fellow Test Engineers, you’ll help define effective test strategies and process improvements to help quality at Coursera scale. Responsibilities: Build software and solutions that empower Engineering teams to solve problems and deliver high-quality software Research and identify AI augmented agentic solutions and lead large-scale test automation initiatives Monitor test environments and provide support when errors and incidents occur Contribute to e2e test strategy, analyze requirements, build test plans, and design test cases for new features, integrations (regression, performance, load) Lead quality initiatives of one or more teams to ensure higher bar of quality Actively seek out areas for improvement in our tech stack and find creative ways to break our product and systems Use quality metrics and performance metrics to drive change and improve quality Basic Qualifications: 7+ years of testing experience, ideally testing web applications 7+ years working directly with product teams in an agile environment 6+ years of experience in UI and API automation 1+ years of experience in developing AI augmented agentic testing frameworks, evals for AI driven applications 6+ years of experience working with CI/CD build pipeline with a focus on test automation (Github actions, Circleci, Kubernetes) Experience with development and maintenance of test automation tools using popular open source technologies(Puppeteer, Cypress, Playwright, Selenium), MCP servers, Preferred Qualifications: Previous startup experience and testing in an Agile development life cycle is a plus Experience with API testing frameworks (Postman, REST-assured, Pact) Programming or scripting language proficiency (JavaScript, Java, Python) Experience with Cloud platforms such as AWS, Azure, or GCP Exceptional written and verbal communication skills If this opportunity interests you, you might like these courses on Coursera: Interactivity with JavaScript Testing with Agile Compensation Coursera offers competitive pay and fair compensation practices across all regions. Job titles may span multiple career levels, and the targeted hiring base salary range for this role in Canada is CAD $137,600 - $172,000. Actual compensation will depend on factors such as experience, education, transferable skills, business needs, and location. This range may be adjusted over time and may include eligibility for variable pay, equity, and comprehensive benefits. #LI-C For more information about how Coursera collects and uses your personal information, please see our Coursera + Udemy Global Applicant Privacy Notice. To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page. If you encounter suspicious recruitment activity, please report it via our Fraudulent Activity Submission Form. Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at recruiting@coursera.org.

Ce que vous ferez

You will build and maintain test infrastructure and tooling to empower engineering teams to deliver high-quality software efficiently. Additionally, you will lead large-scale test automation initiatives and research AI-augmented agentic solutions to improve product quality.

Exigences

The role requires over 7 years of testing experience, including significant expertise in UI and API automation and CI/CD pipelines. Candidates must also have at least 1 year of experience developing AI-augmented testing frameworks and proficiency in relevant scripting languages.

Avantages

• Variable pay • Equity • Comprehensive benefits

Compétences indiquées

• Microsoft Azure · Souhaitée
• Kubernetes · Souhaitée
• CI/CD · Souhaitée
• JavaScript · Souhaitée
• Amazon Web Services · Souhaitée
• Java · Souhaitée
• Google Cloud · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Software testing
• Test automation
• UI automation
• API automation
• CI/CD
• Puppeteer
• Cypress
• Playwright
• Selenium
• JavaScript
• Java
• Python
• Kubernetes
• AWS
• Azure
• GCP
• Business Metrics
• Playwright (Software Testing)
• Workplace Inclusivity
• Pipelines
• Test Automation Tools
• REST Assured
• API Testing
• C (Programming Language)
• Java (Programming Language)
• JavaScript (Programming Language)
• Research
• Application Programming Interface (API)
• Agile Methodology
• Artificial Intelligence
• Amazon Web Services
• Software Testing
• Automation
• Test Automation
• Microsoft Azure
• Code Coverage
• Economics
• Github
• Python (Programming Language)
• Microsoft Certified Professional
• Open Source Technology
• Performance Metric
• Build Pipeline
• Selenium (Software)
• System Testing
• Test Engineering
• Test Planning
• Tooling
• Transferable Skills Analysis
• Verbal Communication Skills

Domaines d’emploi

• Technology
• Software
• Engineering
• Education
• Software Test Engineer
• Software QA Engineer / Tester
• Software and Applications Developers and Analysts Not Elsewhere Classified
• Software Quality Assurance Analysts and Testers