Lead and evolve the QA strategy in collaboration with tech and product leadership.
Implement AI-powered test case generation, defect analysis, and automated regression suite optimization
Drive end-to-end testing activities: strategy, planning, execution, automation, reporting, and release readiness.
Mentor and guide QA engineers while maintaining hands-on involvement in project testing.
Collaborate with cross-functional Agile teams to integrate QA seamlessly into the development lifecycle.
Build automated test frameworks from scratch and continuously improve existing ones (Playwright/Python).
Define test cases based on technical and business requirements.
Support CI/CD processes and ensure high-quality automated pipelines (GitLab CI).
Ensure visibility of QA metrics and quality KPIs (i.e. test coverage, defect leakage, and release quality) across all levels of the organization.
Work independently, managing priorities and deadlines.
Advocate for a quality-first mindset within the organization.
Proven experience in large-scale software projects, with at least 5+ years of experience in software testing.
Strong background in both manual and automated testing.
Track record of mentoring QA engineers and building high-performing QA teams.
Excellent communication skills and a proactive approach to problem-solving and process improvement.
Ability to balance strategic thinking with a hands-on approach.
Expertise in Playwright and Python-based test automation.
Advanced API testing (Postman) experience: design, security, execution, and automation.
Experience in setting up and maintaining automated test pipelines from scratch (GitLab CI preferred).
Experience with test case management and reporting tools.
High proficiency in time management, analytics, and independent decision-making.
Fluent communication skills in English, both written and spoken.
Experience testing mobile applications (real devices or device farms).
Familiarity with Agile/Scrum and eXtreme Programming practices.
ISTQB Advanced/Expert level certification.
Experience with performance and security testing.
Exposure to AI/ML tools for testing (e.g., intelligent test creation, test impact analysis, anomaly detection).
Languages/Frameworks: PHP 8+/Symfony 6+/Laravel 9+, JS/TypeScript, Go, PHPUnit, Codeception, Flutter/Dart
Infrastructure: UNIX, Kubernetes, RabbitMQ
Testing: Playwright/Python, Dart, Postman
AI Tools: Jetbrains AI, Cursor, Gemini for Google Workspace
Tools: Jira, Requirements & Test Management for Jira, Confluence, Slack, IDE (freedom of choice), G Suite, Sentry
Code reviews, pull requests, automation mindset
Integration meetings (internal training, hackathon, integration trips and meetings)
Flexible working format - remote or hybrid
Modern office, Chillout zone, Standing desk, parking for bicycles, and a cloakroom with showers
Regular office lunches and integration meetings
Originally posted on Himalayas
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