Сервіс пошуку роботи №1 в Україні
Oleksii
QA-інженер
- Вік:
- 29 років
- Місто проживання:
- Київ
- Готовий працювати:
- Дистанційно, Київ
Контактна інформація
Шукач вказав: ТелефонЕл. поштуМесенджер
Прізвище, контакти та світлина доступні тільки для зареєстрованих роботодавців. Щоб отримати доступ до особистих даних кандидатів, увійдіть як роботодавець або зареєструйтеся.
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Oleksii Malakhov
Senior Python Automation QA Engineer | AI-Native QA Strategist
Kyiv, Ukraine | [відкрити контакти ](див. вище в блоці «контактна інформація») | [відкрити контакти ](див. вище в блоці «контактна інформація») | [відкрити контакти ](див. вище в блоці «контактна інформація»)
PROFESSIONAL SUMMARY
Senior QA Automation Engineer with 6+ years of experience across fintech, cryptocurrency, and digital health
domains. Specialized in building scalable test automation frameworks using Python, Playwright, and Selenium,
with a strong focus on AI-native QA approaches — including LLM-powered test data generation, AI-driven bug
reporting, and automated validation pipelines. Proven track record of eliminating regression cycles through
comprehensive automation (600+ tests) and identifying critical financial data integrity issues. Active
knowledge-sharer and mentor within QA teams. Currently teaching Python automation at Hillel IT School.
TECHNICAL SKILLS
• Languages: Python (Senior level), Java, JavaScript
• Automation: Playwright (primary stack), Selenium, Cypress, JMeter
• AI & Tools: Prompt Engineering, LLM data generation, Claude Code, Cursor
• CI/CD: GitHub Actions, GitLab CI, Jenkins
• Backend & Infrastructure: REST API (Postman, Swagger), WebSockets, Smart Contracts, SQL, Docker,
Docker-compose
• Monitoring & Security: Prometheus, Grafana, OWASP TOP 10, Burp Suite
EXPERIENCE
Senior QA Engineer | Digital Health Outcomes (via WebbyLab) 05.2023 — 05.2026
• Medical Documents: Tested a proprietary medical document structure developed in-house, including
validation of document workflows and data integrity.
• AI & LLM Testing: Tested LLM-powered features including video analysis for patient activity recognition —
verifying accuracy, edge cases, and reliability of AI-generated outputs.
• Healthcare API: Tested medical API integrations, including Jenix.
• CI/CD: Configured Jenkins pipelines to run automated test suites.
• Automation Stack: Playwright, Selenium, Python (Requests).
• Regression Elimination: Built and maintained an automated test suite of 600+ tests covering full
regression scope — from UI document workflows to API document versioning and change validation.
Integrated with Jira (Xray) for automated test case management and pass/fail tracking, with Allure reports
linked directly to each scenario. Developed AI scripts that automatically analyzed failing tests and created
Jira bug reports when application-side issues were detected — achieving zero regression bugs on recent
projects, allowing the team to focus exclusively on new feature testing.
QA Specialist / Automation Engineer | WebbyLab 04.2020 — 05.2026
• AI Integration: Spearheaded a strategy using AI tools to parse Jira test cases and created scripts utilizing
LLMs to automatically generate complex test data sets.
• Blockchain & Crypto: Validated business logic and security of Smart Contracts; tested blockchain
connectors, coin integrations, and key-store authorization.
• CI/CD: Managed and optimized automation pipelines using GitHub Actions, GitLab CI, and Jenkins.
• Performance: Conducted load testing using JMeter and configured real-time monitoring via Grafana and
Prometheus.
• Critical Bug Discovery: While load-testing a cryptocurrency exchange with bots, identified a critical
financial data loss bug — transactions created in the 59th second of each minute were silently dropped by
the sync script (running every 60 seconds), causing debit/credit mismatches for clients. Detected by
manually reviewing 10,000+ ledger entries. The fix prevented real financial losses for end users.
• Knowledge Sharing: Regularly presented at company-wide QA sessions (every 3–6 months) on topics
including AI tools integration, API testing, test automation, and basic security vulnerability detection
(OWASP).
• Mentorship: Mentored junior engineers and QA specialists transitioning into automation — covering Python,
Playwright, Pytest, Postman scripting, and AI tools integration.
Python AQA Teacher | Hillel IT School 11.2025 — Present
• Teaching: Teaching students Python automation from scratch to Junior/Middle levels.
• Curriculum: Developing curricula focused on modern frameworks like Playwright and Pytest.
PUBLICATIONS
• Author of the technical article: "Using Docker for Automation Testing: Guide of How to Run It".
EDUCATION & LANGUAGES
• Education: University Vistula (Poland) — BA in International Business
• Languages: Ukrainian (Native), Polish (C1), English (B2)
Senior Python Automation QA Engineer | AI-Native QA Strategist
Kyiv, Ukraine | [
PROFESSIONAL SUMMARY
Senior QA Automation Engineer with 6+ years of experience across fintech, cryptocurrency, and digital health
domains. Specialized in building scalable test automation frameworks using Python, Playwright, and Selenium,
with a strong focus on AI-native QA approaches — including LLM-powered test data generation, AI-driven bug
reporting, and automated validation pipelines. Proven track record of eliminating regression cycles through
comprehensive automation (600+ tests) and identifying critical financial data integrity issues. Active
knowledge-sharer and mentor within QA teams. Currently teaching Python automation at Hillel IT School.
TECHNICAL SKILLS
• Languages: Python (Senior level), Java, JavaScript
• Automation: Playwright (primary stack), Selenium, Cypress, JMeter
• AI & Tools: Prompt Engineering, LLM data generation, Claude Code, Cursor
• CI/CD: GitHub Actions, GitLab CI, Jenkins
• Backend & Infrastructure: REST API (Postman, Swagger), WebSockets, Smart Contracts, SQL, Docker,
Docker-compose
• Monitoring & Security: Prometheus, Grafana, OWASP TOP 10, Burp Suite
EXPERIENCE
Senior QA Engineer | Digital Health Outcomes (via WebbyLab) 05.2023 — 05.2026
• Medical Documents: Tested a proprietary medical document structure developed in-house, including
validation of document workflows and data integrity.
• AI & LLM Testing: Tested LLM-powered features including video analysis for patient activity recognition —
verifying accuracy, edge cases, and reliability of AI-generated outputs.
• Healthcare API: Tested medical API integrations, including Jenix.
• CI/CD: Configured Jenkins pipelines to run automated test suites.
• Automation Stack: Playwright, Selenium, Python (Requests).
• Regression Elimination: Built and maintained an automated test suite of 600+ tests covering full
regression scope — from UI document workflows to API document versioning and change validation.
Integrated with Jira (Xray) for automated test case management and pass/fail tracking, with Allure reports
linked directly to each scenario. Developed AI scripts that automatically analyzed failing tests and created
Jira bug reports when application-side issues were detected — achieving zero regression bugs on recent
projects, allowing the team to focus exclusively on new feature testing.
QA Specialist / Automation Engineer | WebbyLab 04.2020 — 05.2026
• AI Integration: Spearheaded a strategy using AI tools to parse Jira test cases and created scripts utilizing
LLMs to automatically generate complex test data sets.
• Blockchain & Crypto: Validated business logic and security of Smart Contracts; tested blockchain
connectors, coin integrations, and key-store authorization.
• CI/CD: Managed and optimized automation pipelines using GitHub Actions, GitLab CI, and Jenkins.
• Performance: Conducted load testing using JMeter and configured real-time monitoring via Grafana and
Prometheus.
• Critical Bug Discovery: While load-testing a cryptocurrency exchange with bots, identified a critical
financial data loss bug — transactions created in the 59th second of each minute were silently dropped by
the sync script (running every 60 seconds), causing debit/credit mismatches for clients. Detected by
manually reviewing 10,000+ ledger entries. The fix prevented real financial losses for end users.
• Knowledge Sharing: Regularly presented at company-wide QA sessions (every 3–6 months) on topics
including AI tools integration, API testing, test automation, and basic security vulnerability detection
(OWASP).
• Mentorship: Mentored junior engineers and QA specialists transitioning into automation — covering Python,
Playwright, Pytest, Postman scripting, and AI tools integration.
Python AQA Teacher | Hillel IT School 11.2025 — Present
• Teaching: Teaching students Python automation from scratch to Junior/Middle levels.
• Curriculum: Developing curricula focused on modern frameworks like Playwright and Pytest.
PUBLICATIONS
• Author of the technical article: "Using Docker for Automation Testing: Guide of How to Run It".
EDUCATION & LANGUAGES
• Education: University Vistula (Poland) — BA in International Business
• Languages: Ukrainian (Native), Polish (C1), English (B2)
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