Quality Assurance Automation Engineer

We are seeking a skilled QA Engineer to join our growing team at Coto, a digital emotional wellness platform offering 24x7 expert consultations across mental health, relationships, astrology, and alternative healing. As we expand into international markets (Canada, US, UK), you'll play a crucial role in ensuring our platform delivers seamless, high-quality experiences across all touchpoints.

Key Responsibilities
Testing & Quality Assurance
Conduct comprehensive mobile testing across iOS and Android platforms for our wellness consultation app
Perform thorough API testing to ensure robust backend services for real-time expert consultations
Execute end-to-end testing for various session formats (Live Video, Audio, Chat, Anonymous sessions)
Validate payment integrations and pricing multipliers across different geographies and expert tiers

Automation & AI Integration
Design and implement test automation frameworks using tools like Selenium WebDriver, Appium, Playwright, or Cypress
Leverage AI-powered automation tools (TestCraft, Testim, Mabl, or Functionize) for intelligent test creation and maintenance
Utilize AI tools like ChatGPT, GitHub Copilot, or specialized QA AI assistants to generate comprehensive test cases and automation scripts
Implement AI-driven visual testing and self-healing test automation
Write test cases in Gherkin format following BDD principles using tools like Cucumber or SpecFlow
Maintain and enhance automated test suites for continuous integration using Jenkins, GitLab CI, or GitHub Actions

Test Management & Reporting
Manage test cases and test execution using tools like Zephyr, TestRail, Azure Test Plans, or Jira/Xray
Create comprehensive test plans, test strategies, and maintain test case repositories
Generate detailed testing reports including defect analysis, test coverage metrics, and quality dashboards
Prepare executive summaries and quality reports for stakeholders
Maintain traceability matrices linking requirements to test cases and defects
Use AI tools to analyze test results and generate insights for continuous improvement

Data Validation & Monitoring
Craft and execute MongoDB queries for data validation and integrity testing
Use AI tools to analyze and debug data inconsistencies
Collaborate with data teams to ensure accurate user journey tracking and expert matching algorithms

Observability & Performance
Monitor application performance using Datadog and similar telemetry tools
Set up alerts and dashboards for critical user flows and expert consultation sessions
Analyze performance metrics and identify optimization opportunities

Quality Strategy
Develop testing strategies for AI-driven features including personalized user journeys and expert matching
Ensure quality standards for trust & safety features and community moderation
Test gamification elements, loyalty programs, and user engagement features
Analyze test metrics and KPIs to drive quality improvements and process optimization

Required Qualifications
Technical Skills
3+ years of experience in mobile testing (iOS/Android)
Strong expertise in API testing using tools like Postman, REST Assured, SoapUI, or Newman
Proficiency in test automation frameworks (Selenium WebDriver, Appium, Playwright, Cypress, or Robot Framework)
Experience with AI-powered testing tools like Testim, Mabl, TestCraft, or Functionize
Hands-on experience with test management tools (Zephyr, TestRail, Azure Test Plans, Jira/Xray)
Experience with MongoDB queries and database testing
Knowledge of telemetry and monitoring tools (Datadog preferred)
Understanding of Gherkin syntax and BDD methodology using Cucumber/SpecFlow

AI & Innovation
Experience using AI tools (ChatGPT, GitHub Copilot, Bard) for test case generation and automation script creation
Familiarity with AI-assisted debugging, data analysis, and intelligent test maintenance
Knowledge of AI-powered visual regression testing and self-healing automation
Experience with prompt engineering for QA-specific AI applications
Openness to leveraging emerging AI technologies in QA processes

General Requirements
Bachelor's degree in Computer Science, Engineering, or related field
Strong analytical and problem-solving skills
Experience with CI/CD pipelines and version control (Git)
Proficiency in at least one programming language (Java, Python, JavaScript, or C#)
Experience in creating detailed test documentation and quality reports
Understanding of agile development methodologies
Excellent communication skills and ability to work in cross-functional teams

Preferred Qualifications
Experience in wellness, healthcare, or consumer-facing applications
Knowledge of security testing and compliance requirements
Familiarity with performance testing tools
Experience with cloud platforms (AWS, GCP, or Azure)
Understanding of real-time communication systems and video/audio streaming

What We Offer
Opportunity to impact emotional wellness for global communities
Work with cutting-edge AI technologies in the wellness space
Collaborative environment with experienced leadership from media and technology backgrounds
Growth opportunities as we expand internationally
Flexible work arrangements and comprehensive benefits

Location
Remote-friendly with occasional collaboration requirements
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