QA-инженер / Тестировщик

- Tested end-to-end B2C marketplace flows across web, mobile, REST APIs, database, admin tools, and analytics layers, covering search, PDP, cart, checkout, payments, orders, delivery, returns, catalog, and promotions. - Performed API and data validation with Postman, Python, SQL, logs, and internal reports, covering auth, request/response contracts, payload structure, status codes, negative scenarios, edge cases, and UI/API/DB consistency. - Executed smoke, regression, exploratory, and UAT release testing with risk-based coverage for customer-facing and back-office workflows. - Validated product analytics instrumentation, including event schemas, payload fields, funnel logic, duplicated/missing events, and dashboard metric accuracy. - Created technical defect reports with reproducible steps, API payloads, SQL evidence, screenshots/logs, severity, user impact, and root-cause hypothesis. - Collaborated with Product, Engineering, Analytics, Support, and QA teams to assess release risks, prioritize defects, and improve quality coverage.

- Built and maintained a Pytest automation framework for UI, API, and regression testing using Page Object Model, fixtures, parametrization, explicit waits, retries, parallel execution, and Allure reporting. - Automated Selenium and Playwright scenarios for admin panels, authentication, user workflows, assignment/review flows, role-based access, and critical platform actions. - Designed API test suites with Pytest, httpx/requests, and Postman for authentication, permissions, CRUD flows, input validation, negative paths, schema checks, and timeout scenarios. - Added Appium-based smoke coverage for selected Android/iOS flows, handling stable locators, deep links, permissions, background/foreground switching, and system alerts. - Integrated smoke and regression suites into GitHub Actions/Jenkins pipelines with Docker-based reproducible runs, scheduled execution, stored artifacts, Allure history, and failure triage. - Improved test reliability by standardizing test data, selectors, wait strategies, flaky-test handling, regression checklists, and release validation routines.

- Developed Python/Django and PostgreSQL backend services and REST APIs for a scalable web platform; added pytest/requests API checks and basic UI validation for release confidence. - Wrote unit and integration tests for Django, DRF, and Celery services; configured CI pipelines for daily runs and reporting.

- Led Python/Django backend development with Redis, Celery, and AWS for a remote US platform, including real-time chat and forum features. - Added Postman/API integration checks, CI/CD test routines, monitoring, and logging to improve release reliability and incident visibility.

- Developed Python/Django, PostgreSQL, and Redis backend services and APIs for 9+ client web projects. - Contributed reusable modules, query optimization, Docker/GitLab CI setup, unit/integration tests, and cross-browser UI checks.