Ольга

OLHA KYRYLIUK
QA ENGINEER | PRODUCT-ORIENTED ANALYST

[open contact info](look above in the "contact info" section) [open contact info](look above in the "contact info" section)

PROFESSIONAL SUMMARY
QA Engineer with 5+ years of experience in web and mobile application testing across education,
insurance, and healthcare domains. Strong focus on product logic, user experience, and data accuracy.
Skilled in requirements analysis, API validation, and QA process organization. Experienced in testing
complex systems, migrations, and analytics integrations (Amplitude, Segment, Mixpanel, Databricks).
Passionate about bridging QA and product analysis — applying critical thinking and attention to detail to
improve both feature quality and business outcomes.
Currently developing in the direction of Product & Business Analysis, leveraging QA-experience to deliver
data-driven insights.

KEY SKILLS & TOOLS
Testing: Functional, Regression, UI/UX, End-to-End, Integration, Requirements, Cross-platform, Web &
Mobile (iOS/Android).
Tools: Jira, GitLab, Postman, Swagger, MySQL, BrowserStack, Chrome DevTools, Figma, Miro.
Monitoring & CI/CD: AWS (S3, CloudWatch), Splunk, Jenkins.
Analytics & Tracking: Amplitude, Databricks, Segment, Mixpanel.
A/B Testing, Feature Flags & Personalization: GrowthBook, Recombee.
Processes: Agile (Scrum/Kanban), BDD (Gherkin/Gauge).
Communication: Requirements clarification, reporting, documentation reviews, stakeholder
communication.
Languages: English (Upper-Intermediate), Slovak (Upper-Intermediate), Ukrainian (Native), Russian
(Fluent).

EDUCATION
National Technical University «Yuri Kondratyuk Poltava Polytechnic» | Sep 2010 — Jun 2015
B.Sc. in Electronics and Telecommunications Engineering.
 EXPERIENCE
QA ANALYST at GoHealth
GoHealth | Mar 2026 — May 2026

Applied BDD approach using Gherkin and Gauge for acceptance criteria validation and structured test
scenario design.
Performed end-to-end testing across multiple environments (QA, UAT, Demo, Production).
Analyzed feature scope, clarified requirements, and contributed to defining acceptance criteria and
user flows.
Collaborated with Product Managers and Business Analysts during kick‑off meetings to align business
logic with test coverage.
Validated user analytics events in Databricks, ensuring accurate data flow and consistency in reports.
Result: Improved data reliability and release quality by proactively detecting analytics and logic
inconsistencies during early testing stages.

QA ENGINEER at ITAPS
Kooperativa, Vienna Insurance Group | Aug 2025 — Oct 2025

Conducted web application testing (policy management system).
Created detailed test scenarios and test cases for complex insurance workflows.
Validated backend logic through API testing.
Leveraged Splunk to analyze logs, trace errors, and investigate backend behavior across multiple
environments.
Collaborated with developers and analysts to ensure high release quality.
Result: Enhanced defect detection efficiency and improved release stability by identifying backend data
inconsistencies early through log and API analysis.

QA ENGINEER at IT CRAFT
FluentU | Mar 2021 – Sep 2025

Performed full-cycle testing of complex WEB and mobile (iOS, Android) solutions.
Validated and optimized Chrome extension behavior across YouTube and Netflix integrations, focusing
on user experience and cross‑platform stability.
Led testing during major architecture migration from native apps → React Native and backend refactor
from PHP → Node.js.
Used AWS (S3, CloudWatch) to track system logs, monitor server performance, and detect backend
anomalies during testing.
Worked with MySQL to validate data integrity and ensure backend accuracy of tested features.
Verified and monitored event tracking and data consistency across Amplitude, Segment, Rudderstack,
and Mixpanel analytics tools.
Supported A/B testing and feature flag validation using GrowthBook.
Created and maintained QA documentation.
Interviewed and mentored junior QA engineers.
Participated in one-month Business Analysis initiative: assisted PM and BA teams with requirements
gathering, documentation review, and feature scope clarification.
Result: Ensured high product quality and smooth multi‑platform migration with zero critical defects in
production; improved analytics accuracy and backend reliability through proactive log monitoring and data
validation.