Contact information

This job seeker has hidden his personal information, but you can send him a message or suggest a job to him if you open his contact info.

Knowledge and skills

• API
• REST
• JavaScript
• Git
• TypeScript
• Cypress
• Playwright
• CI/CD
• Application of artificial intelligence

Language proficiencies

English — above average

Additional information

SUMMARY
Senior Automation QA Engineer with over 5 years of experience specializing in the JavaScript/TypeScript ecosystem and building scalable test frameworks from scratch. Rapidly adopts unfamiliar languages and tools using modern AI assistants, recently delivering Python, Pytest, and Appium automation across web and mobile platforms. Heavily focused on production environment stability through daily regression triage and high-frequency automated health-checks targeting a 99.9% success metric. Experienced in driving engineering excellence across teams by conducting technical mentorship and standardizing code reviews. Proactively contributes to product evolution by suggesting feature enhancements and improvements based on QA insights.

TECHNICAL SKILLS
• Automation Frameworks: Cypress, WebdriverIO (Wdio), Appium, Cucumber
• Programming Languages: JavaScript, TypeScript, Python, HTML5, CSS3
• Testing Types & Tools: Load Testing (Locust), Visual Testing, Accessibility Testing, REST/SOAP API, Postman
• CI/CD & DevOps: GitLab CI/CD, GitHub Actions
• Methodologies: Agile/Scrum, Test Design, Technical Interviewing, Team Mentorship, AI Tools Integration

PROFESSIONAL EXPERIENCE
Fozzy Group | June 2026 - October 2026 | App Automation QA
• Project/Customer: LOKO — High-scale ultra-fast e-commerce and delivery service operating within a major retail ecosystem.
• Team Size: 15+ specialists (10 Developers, 4 Manual QAs, 2 Automated QAs, 1 Product Owner, 1 Scrum Master).
• Project Description:A high-load delivery platform based on a microservices architecture, handling thousands of real-time orders daily. The primary engineering challenge was rapidly expanding test coverage for new features while simultaneously establishing real-time production health monitoring via automated health-check suites.
• Responsibilities:
- Maintained existing test codebases and authored automated E2E tests for web and mobile platforms using Selenium, Pytest, and Appium.
- Leveraged Kiro CLI (AI) directly within the terminal workflow to accelerate test scripting, generate boilerplate code, and assist with debugging.
- Extended and structured automated test suites utilizing custom Pytest fixtures and the Page Object Model (POM) pattern.
- Executed cross-platform mobile test scenarios to validate critical end-to-end user workflows and UI components.
- Maintained and monitored automated test execution within CI/CD pipelines to ensure timely feedback on code changes.
- Leveraged Kiro CLI (AI) to accelerate test scripting, generate boilerplate code, and assist with debugging.
- Independently added test keys into the Flutter application codebase using Kiro CLI to improve locator reliability and testability.
• Tools and Technologies: Selenium, Pytest, Appium, Python, Kiro CLI, Git

Fozzy Group | June 2023 - June 2026 | Web Automation QA
• Responsibilities:
- Led the development and expansion of the automated E2E testing framework using Cypress and Playwright, actively utilizing AI assistants to streamline routine scripting, accelerate advanced debugging, and systematically eliminate flaky tests
- Actively collaborated with the cross-functional team to triage, investigate, and resolve underlying system issues whenever health-check alerts flagged genuine production anomalies.
- Proactively suggested product enhancements and feature improvements to the product management team based on test insights and user experience observations.
- Managed and monitored nightly automated regression suites, performing daily test triage and root-cause analysis to promptly resolve script instability or report product defects.
- Leveraged AI Kiro (ex. Amazon Q) as a core architectural foundation to rapidly adopt a new technology stack (Python + Locust), successfully designing and executing high-load performance testing scenarios from scratch
- Implemented automated visual regression testing to guarantee UI consistency across various screen resolutions and responsive designs.
- Independently contributed to the front-end application codebase to inject custom test attributes (QA tags), eliminating cross-team dependencies and drastically increasing test locator stability.
- Maintained and optimized automated test execution stages within GitLab CI/CD pipelines to ensure rapid and reliable feedback loops
• Tools and Technologies: Cypress, Playwright, TypeScript, Python, Locust, AI Kiro (Amazon Q), REST API, GitLab CI/CD

LANGUAGES
• English: B2
• Ukrainian: Native