Сервіс пошуку роботи №1 в Україні
Олена
QA engineer
- Вік:
- 45 років
- Місто проживання:
- Міжгір'я
- Готовий працювати:
- Дистанційно
Контактна інформація
Шукач вказав: ТелефонЕл. поштуLinkedInМесенджер
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Olena Tretiakova Mizhhiria, Ukraine · open to remote
QA Engineer · Mobile · Web · API [відкрити контакти ](див. вище в блоці «контактна інформація»)
FINTECH · PAYMENTS · SECURITY-AWARE · AI-AUGMENTED [відкрити контакти ](див. вище в блоці «контактна інформація»)
SUMMARY
QA Engineer running the full manual QA lifecycle solo across native mobile (iOS/Android), web and REST APIs, with a
FinTech and payments focus. Strong at root-cause analysis from network traffic (HAR / WebSocket / DevTools),
testing under-documented systems by reverse-engineering behavior from live API responses, and surfacing
requirement gaps before they reach development. Daily AI-augmented workflow for edge-case discovery and
evidence-backed bug reports.
KEY HIGHLIGHTS
Requirement-gap discovery. While analyzing requirements for a FinTech messenger on a low-code platform, surfaced
serious gaps and contradictions in the spec and drove them to BA/PO clarification before release — instead of letting
undefined behavior ship.
Root-cause via network traffic. Routinely capture and analyze HAR and WebSocket traffic in Chrome DevTools to separate
backend, frontend and environment causes, and back every bug report with objective evidence rather than assumptions.
Testing with zero documentation. Rebuilt full test coverage of a legacy system with no specs — reverse-engineered
expected behavior from Swagger and raw API responses, including an undocumented endpoint.
Regression as a release gate. Built and own a 2,000+ item regression checklist structured by module and permission role;
made regression a mandatory release quality gate and defined severity/priority conventions in Jira.
Security-aware testing. Beyond standard scope — reproduced an IDOR via object-ID manipulation (DevTools + Postman)
and tested SQL injection, XSS and brute-force lockout behavior.
AI-augmented QA. Persistent AI knowledge bases (Swagger, Figma, API responses) for edge-case discovery and faster,
source-grounded bug reports — with every AI output verified against requirements.
EXPERIENCE
QA Engineer (Sole QA) — Cross-platform FinTech product Jul 2026 – Present
B2B messenger & task-manager on a low-code platform · mobile (iOS/Android) + web
Own QA end-to-end across mobile and web — smoke, functional, regression, exploratory and release validation — with no
pre-assigned tasks; scope, prioritize and sign off each build.
Analyze requirements and Figma against implementation; document requirement gaps and drive them to BA/PO
clarification.
REST API testing from Swagger (request/response, status codes, schema, business logic) and access-control / IDOR checks
by replaying requests with manipulated IDs and tokens.
Root-cause via Chrome DevTools (Network / WebSocket) and HAR capture; defects filed with video and network-log
evidence in Jira, traceability in Confluence.
Roles-and-permissions testing across admin panel and application roles.
Also test a parallel AI-powered product at the same company — validated subscription payments via Google Play Billing
(renewals, cancellations, on-hold / grace-period and blocked-payment states) across the lifecycle.
QA Engineer (Sole QA) — Cross-platform mobile product Mar 2026 – May 2026
iOS / Android + backend APIs
Owned testing end-to-end for iOS, Android and backend APIs — from smoke to deep exploratory sessions; scoped and
prioritized all work solo and managed regression cycles per build.
Built a structured knowledge base (Swagger, Figma, API responses) for fast context recovery and edge-case generation.
QA Engineer — Payments / e-commerce & fleet management Feb 2025 – Feb 2026
Software company · sole QA for two products in parallel — web, mobile, browser extension, admin panel
Sole QA for a leasing / fleet-management OMS (5+ user roles, multi-status entities) and a subscription e-commerce product
— zero missed releases.
End-to-end payment-integration testing: PayPal and Google Pay via Stripe and Braintree, multi-currency flows.
Built Postman collections from scratch based on Swagger; validated data-flow consistency between backend and multiple
frontend clients.
Introduced mandatory regression checklists as a release quality gate; ran a full 2,000+ item regression pass before every
release and defined severity/priority conventions in Jira.
SKILLS
PLATFORMS API & DATA
Native iOS & Android (real devices + emulators), Web, browser REST API testing · Postman (collections & environments) ·
extensions · app lifecycle & background, permissions, deep Swagger / OpenAPI · JSON · SQL
links, push, install / update / reinstall
NETWORK & DEBUGGING PAYMENTS
Chrome DevTools (Network / Console / WebSocket) · HAR PayPal, Google Pay via Stripe & Braintree, multi-currency ·
capture & analysis · root-cause from traffic Google Play Billing subscription lifecycle
TEST DESIGN
Test planning, cases & checklists · regression, smoke,
exploratory, cross-platform, UI/UX, release sign-off · BVA, EP,
state transition, decision tables, risk-based
SECURITY
IDOR SQL injection XSS Brute-force lockout
AI-ASSISTED QA
Persistent AI knowledge bases (Swagger, Figma, API responses) · edge-case discovery · bug-report drafting · outputs verified against
requirements
AUTOMATION
WebdriverIO fundamentals (in progress) — scripts for registration, login and user-edit flows
TOOLS
Jira Confluence Qase Redmine ClickUp Figma Git Android Studio
LANGUAGES
Ukrainian Native
English B2 · Upper-Int.
QA Engineer · Mobile · Web · API [
FINTECH · PAYMENTS · SECURITY-AWARE · AI-AUGMENTED [
SUMMARY
QA Engineer running the full manual QA lifecycle solo across native mobile (iOS/Android), web and REST APIs, with a
FinTech and payments focus. Strong at root-cause analysis from network traffic (HAR / WebSocket / DevTools),
testing under-documented systems by reverse-engineering behavior from live API responses, and surfacing
requirement gaps before they reach development. Daily AI-augmented workflow for edge-case discovery and
evidence-backed bug reports.
KEY HIGHLIGHTS
Requirement-gap discovery. While analyzing requirements for a FinTech messenger on a low-code platform, surfaced
serious gaps and contradictions in the spec and drove them to BA/PO clarification before release — instead of letting
undefined behavior ship.
Root-cause via network traffic. Routinely capture and analyze HAR and WebSocket traffic in Chrome DevTools to separate
backend, frontend and environment causes, and back every bug report with objective evidence rather than assumptions.
Testing with zero documentation. Rebuilt full test coverage of a legacy system with no specs — reverse-engineered
expected behavior from Swagger and raw API responses, including an undocumented endpoint.
Regression as a release gate. Built and own a 2,000+ item regression checklist structured by module and permission role;
made regression a mandatory release quality gate and defined severity/priority conventions in Jira.
Security-aware testing. Beyond standard scope — reproduced an IDOR via object-ID manipulation (DevTools + Postman)
and tested SQL injection, XSS and brute-force lockout behavior.
AI-augmented QA. Persistent AI knowledge bases (Swagger, Figma, API responses) for edge-case discovery and faster,
source-grounded bug reports — with every AI output verified against requirements.
EXPERIENCE
QA Engineer (Sole QA) — Cross-platform FinTech product Jul 2026 – Present
B2B messenger & task-manager on a low-code platform · mobile (iOS/Android) + web
Own QA end-to-end across mobile and web — smoke, functional, regression, exploratory and release validation — with no
pre-assigned tasks; scope, prioritize and sign off each build.
Analyze requirements and Figma against implementation; document requirement gaps and drive them to BA/PO
clarification.
REST API testing from Swagger (request/response, status codes, schema, business logic) and access-control / IDOR checks
by replaying requests with manipulated IDs and tokens.
Root-cause via Chrome DevTools (Network / WebSocket) and HAR capture; defects filed with video and network-log
evidence in Jira, traceability in Confluence.
Roles-and-permissions testing across admin panel and application roles.
Also test a parallel AI-powered product at the same company — validated subscription payments via Google Play Billing
(renewals, cancellations, on-hold / grace-period and blocked-payment states) across the lifecycle.
QA Engineer (Sole QA) — Cross-platform mobile product Mar 2026 – May 2026
iOS / Android + backend APIs
Owned testing end-to-end for iOS, Android and backend APIs — from smoke to deep exploratory sessions; scoped and
prioritized all work solo and managed regression cycles per build.
Built a structured knowledge base (Swagger, Figma, API responses) for fast context recovery and edge-case generation.
QA Engineer — Payments / e-commerce & fleet management Feb 2025 – Feb 2026
Software company · sole QA for two products in parallel — web, mobile, browser extension, admin panel
Sole QA for a leasing / fleet-management OMS (5+ user roles, multi-status entities) and a subscription e-commerce product
— zero missed releases.
End-to-end payment-integration testing: PayPal and Google Pay via Stripe and Braintree, multi-currency flows.
Built Postman collections from scratch based on Swagger; validated data-flow consistency between backend and multiple
frontend clients.
Introduced mandatory regression checklists as a release quality gate; ran a full 2,000+ item regression pass before every
release and defined severity/priority conventions in Jira.
SKILLS
PLATFORMS API & DATA
Native iOS & Android (real devices + emulators), Web, browser REST API testing · Postman (collections & environments) ·
extensions · app lifecycle & background, permissions, deep Swagger / OpenAPI · JSON · SQL
links, push, install / update / reinstall
NETWORK & DEBUGGING PAYMENTS
Chrome DevTools (Network / Console / WebSocket) · HAR PayPal, Google Pay via Stripe & Braintree, multi-currency ·
capture & analysis · root-cause from traffic Google Play Billing subscription lifecycle
TEST DESIGN
Test planning, cases & checklists · regression, smoke,
exploratory, cross-platform, UI/UX, release sign-off · BVA, EP,
state transition, decision tables, risk-based
SECURITY
IDOR SQL injection XSS Brute-force lockout
AI-ASSISTED QA
Persistent AI knowledge bases (Swagger, Figma, API responses) · edge-case discovery · bug-report drafting · outputs verified against
requirements
AUTOMATION
WebdriverIO fundamentals (in progress) — scripts for registration, login and user-edit flows
TOOLS
Jira Confluence Qase Redmine ClickUp Figma Git Android Studio
LANGUAGES
Ukrainian Native
English B2 · Upper-Int.
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