Sergei
Konovalov

QA Automation Lead

Defining company-wide QA automation strategy and tooling — architecting frameworks, quality gates, and AI-powered tooling that multiply engineering effectiveness across all product lines.

• Designed framework architecture, quality gates, and contribution standards enabling 20+ engineers to grow and sustain a 4,500+ test suite across payments, wallet, anti-fraud, KYC, and crypto flows without structural degradation
• Initiated and led delivery of three AI-powered tools — an LLM smoke-run failure analyzer (Claude API, two-stage batch classification), a 4-stage release test recommender, and a semantic QA documentation system with AI-powered search — removing manual triage, release-scope decisions, and knowledge lookup friction from the team's daily workflow
• Built an internal QA platform (production FastAPI service, DDD, PostgreSQL, Docker) backing all QA tooling: 4 MCP servers with 47 tools exposing QA infrastructure to AI coding assistants, a company-wide QA quality metrics dashboard (contributor trends, repo hot spots, weekly charts), encrypted secrets store, and automated weekly QA lead reports
• Architected test automation for a second product line from scratch — framework, CI quality gates, and contribution standards — enabling the product's QA team to deliver independent full-coverage automation
• Established CI quality gates across all product lines — zero critical regressions reached production in 2025; drove 45 self-initiated QAT engineering improvements alongside feature delivery

QA Engineer

Built QA automation infrastructure from scratch in a fast-growing fintech environment.

• Built Jenkins CI from zero — now runs 400+ tests on every pull request
• Authored Python API client library — reduced test authoring time by ~40%
• Parallel execution (8 workers) cut regression suite from 4h to 45min ↓81%

QA Engineer

• Designed end-to-end automation architecture for IKEA Insight analytics platform
• OWASP ZAP security assessments — identified & tracked 12 vulnerabilities to resolution
• jMeter performance suite — findings led to 3× throughput improvement

Product Manager & QA Engineer

• Managed product requirements and QA for enterprise software products
• Established team's first QA processes and testing standards