Portfolio Quality Leadership
Own quality across a portfolio of 8 products and 5 cross-functional delivery teams in healthcare, with responsibility for a 15-person QA organization.
8 products5 teams15 QA
Quality Engineering Leadership
Oleksandr Solomientsev
Head of QA · Senior QA Manager · Quality Engineering Leader
15+ years building, scaling, and transforming Quality Engineering organizations. Currently leading quality across 8 healthcare products and 5 cross-functional teams, with a track record of building QA functions from 0 to 30 engineers and creating practical AI-enabled Quality Engineering systems for traceability, governance, analysis, and autonomous testing.
- Years in Quality
- 15+
- Products in Current Scope
- 8
- Teams
- 5
- Domains
- 6+
- Team Scaling
- 0 → 30
Healthcare · Travel · Automotive · Telecom · IoT · Payments
- Product Ideas to Value
- Engineering Build with Confidence
- Quality Assure & Improve
- Release Deliver Impact
AI Layer Local LLMs · Agentic QA · Semantic Traceability
Turning quality into business impact
Selected Leadership Impact
Quality Transformation
Conducted an account-wide QA audit across 8 products, identifying 43 improvement areas including 16 Critical/High-priority gaps and establishing a structured transformation roadmap.
43 findings · 16 Critical/High
QA Organization at Scale
Built and scaled a QA function from 0 to 30 engineers in ~5 months, establishing hiring, onboarding, team structure, tooling, and testing processes.
0 → 30~5 months
AI-Enabled Quality Engineering
Designed and built practical AI-enabled QA systems for semantic traceability, sprint governance, automated test planning, PR/MR requirement review, and autonomous browser testing.
~1.6K stories25K+ candidate pairs
Where I operate
Core Expertise
- QA Strategy & Governance
- Quality Transformation
- QA Organization Building & Scaling
- People & Performance Management
- Process Audit & Improvement
- AI-Assisted Quality Engineering
- AI/ML Quality
- Test Automation Strategy
- Quality Metrics & Risk Management
- Stakeholder Management
- Shift-Left & CI/CD
- Regulated Product Quality
Leadership approach
Quality Beyond Testing
Quality Engineering is not a testing phase. I treat it as an engineering system spanning people, process, architecture, automation, observability, delivery and product risk.
- People Hiring, onboarding, performance and growth
- Processes Strategy, governance, SOPs, traceability
- Technology Automation, AI tooling, CI/CD, observability
- Quality Systems Metrics, risk, coverage, delivery controls
- Better Products Lower risk, faster delivery, happier users
Engineering leverage, not buzzwords
AI-Assisted Quality Engineering
I use AI where it removes real engineering overhead — traceability, analysis, QA governance, coverage validation and repetitive quality workflows — while keeping humans in the loop for ambiguous or high-impact decisions.
Semantic Traceability System
Local-LLM-powered traceability system combining embeddings with LLM-based candidate validation to analyze ~1.6K stories and 25K+ Story ↔ Test Case candidate pairs, identify potential coverage gaps, and route ambiguous matches for human review.
- Includes dashboards, reporting, resumable processing, and operational review workflows.
Sprint Health Check Agent
Atlassian Rovo agent that identifies problematic stories, enablers, and defects and validates QA subtasks, linked tests, fix versions, and other mandatory delivery controls.
Claude-Powered QA Agents
Built QA agents integrating Jira, Confluence, GitLab, and Bitbucket workflows — including automated sprint test-plan generation from Jira scope and PR/MR review against acceptance criteria, with implementation coverage analysis, automation-gap detection, risk analysis, and focused testing recommendations.
- Sprint Test Plan Agent
- PR/MR Requirement Review Agent
Autonomous QA Agent
Personal R&D into agentic testing: a local LLM plans test cases from accessibility snapshots and drives a real browser through Playwright, with guardrails and human review before any generated test is trusted.
View on GitHubAI/ML Quality Evaluation
Evaluation and verification approaches for Generative AI, Classification, and Semantic Search systems where traditional deterministic pass/fail testing is insufficient.
Built in-house to remove manual work
Quality Automation & Tooling
Plain engineering automation — scripts and pipelines I write and maintain myself, so that traceability, coverage reporting and test preparation stop eating delivery time.
Traceability Restoration
Python automation that restored 2,555 broken legacy test references after TestRail migration, recovering historical requirement-to-test traceability.
2,555references restoredRequirements Traceability Matrix
Automated assembly of the RTM straight from the TestRail and Jira APIs — the matrix is generated on demand instead of being maintained manually in spreadsheets.
Coverage Metrics & Weekly Delta
Scheduled calculation of test coverage with a week-over-week delta, so teams and stakeholders see where high-priority coverage stands and how much effort is left to reach the target.
Test Data & Result Validation
Python tooling for test data generation, result validation, and traceability workflows — the repetitive part of test preparation and verification.
Hands-on Engineering
Selected Engineering Projects
Autonomous QA Agent
Autonomous browser-testing agent that analyzes accessibility snapshots, generates and executes test cases in a real browser, and produces structured reports.
AI test planningTool-based browser executionState isolationDestructive-action guardrailsConsole & network monitoringReusable test suitesRun comparisonHuman review
View source
Multi-Landing Platform
Built and operate a multi-site platform that hosts multiple independent landing sites from a shared codebase and administration layer, with site-specific content and configuration, production deployment, automated tests, security controls, and integrations.
Leadership across healthcare, travel and regulated products
Experience
DataArt
Feb 2021 – PresentEarlier experience
Senior QA Engineer / QA Lead
DataArt · Healthcare — Regulated Cognitive Assessment
Feb 2021 – Dec 2021
- Built QA processes from scratch for a regulated healthcare product — test strategy, documentation standards, and team workflows.
- Implemented QA practices aligned with FDA-oriented SOP requirements and kept traceability between requirements and validation activities.
- Analysed requirements early in the SDLC, identifying ambiguities and quality risks before implementation.
- Defined functional, regression, and edge-case coverage across iOS, Android, and web applications.
- Onboarded and mentored QA engineers joining the project.
Senior QA Engineer / QA Lead
MRS Electronics · IoT EV Charging
Nov 2020 – Feb 2021
- Established QA processes from scratch, defining test scope, environments, workflows, and documentation.
- Tested firmware, hardware authorization, HMI workflows, and web-management APIs, including concurrent-user load scenarios.
Senior QA Engineer / QA Lead
Luxoft · Automotive Cluster HMI
Mar 2018 – Nov 2020
- Led QA activities for an automotive HMI program covering navigation, driver assistance, and multimedia systems.
- Developed Integration and Test Plans compliant with ASPICE SWE.5/SWE.6, maintaining traceability from requirements through test execution.
- Acted as QA point of contact for the automotive client, coordinating requirements clarification, quality risks, and release readiness.
- Owned release-quality activities across multiple configurations and mentored QA engineers across development and client teams.
Head of QA / Head of Branch
Wildix · Telecom / Unified Communications
Oct 2013 – Dec 2017
- Led branch operations and managed a cross-functional organization of QA engineers and developers.
- Owned QA activities for a Unified Communications platform and supported complex enterprise issues using Linux and protocol-level analysis.
QA Engineer
Luxoft · Automotive — Harman Becker
Jul 2012 – Oct 2013
- Embedded automotive QA: memory and performance testing, requirements and configuration management.
QA Engineer
Wildix · Unified Communications
Jul 2011 – Jul 2012
- Unified Communications QA on Linux: VoIP, video, messaging, integrations, and SIP/network troubleshooting.
Ideas · Expertise · Real outcomes
Ways to Work Together
Open to Head of QA, Senior QA Manager, and Quality Engineering leadership opportunities.
Also available for selected Quality Advisory and Fractional Quality Leadership engagements.
QA Leadership
Full-time Head of QA / Senior QA Manager: lead and scale quality engineering across teams and products.
Quality Advisory
Improve QA strategy, governance, processes, metrics, tooling and delivery confidence.
Fractional Quality Leader
Part-time senior Quality Engineering leadership for growing organizations or transformation initiatives.
Supporting technical depth
Technical Capability
AI / LLM Engineering
Claude CodeClaude APILocal LLMsOllamaAtlassian RovoPython AI AgentsAgent Context EngineeringSemantic Search / EmbeddingsHuman-in-the-loop WorkflowsAI-Assisted Software Development
Automation & Testing
PythonpytestPlaywrightSeleniumREST API TestingAutonomous Browser Testing
Cloud & Data
AWSPostgreSQLMySQLMongoDBSQLite
Delivery & QA
JiraConfluenceZephyrTestRailGrafanaGitBrowserStackPostman
Ways of Working
SAFeScrumKanbanShift-LeftCI/CD
Credentials
Certifications & Education
Certifications
Claude Code in Action Anthropic · Issued Mar 2026 Verify →
Kanban Management Professional
KMP Foundation I & II · Kanban System Design
Education
Specialist — Computer Systems & Networks
Odessa State Academy of Refrigeration · 2005 – 2010
Let’s build better quality systems
Let’s build better quality systems.
Open to senior Quality Engineering leadership roles, advisory conversations and high-impact quality initiatives.