Expertise
Quality engineering, organized by system risk.
Tools support the work. The real focus is financial integrity, controlled state, useful evidence, and fast delivery feedback.
01
Financial system quality
- Credit workflows
- Payments and purchase
- Refund and settlement
- Billing and coupons
- Provider integrations
- Financial integrity
02
Test automation
- Robot Framework
- Python
- API-first automation
- Integration automation
- E2E and UI smoke testing
- Reusable architecture
03
API & integration
- REST and Postman
- Contract and response validation
- Service virtualization
- Provider integrations
- Failure and retry handling
04
Data & state
- SQL and MySQL
- MongoDB and Redis
- Financial-state validation
- Database test oracles
05
Quality engineering
- Risk-based test design
- Exploratory testing
- Testability
- Idempotency
- Retries, callbacks, eventual consistency
06
CI/CD & performance
- GitLab CI quality gates
- Git and Linux
- Docker (working knowledge)
- Merge-request smoke suites
- Nightly regression
- k6 performance baselines
07
Engineering tools
- Python and JavaScript
- Jira and Zephyr
- Scrum delivery
- Defect investigation
- ISTQB principles