Aleksey Pautov
Testing and Quality Assurance Lead @Capio Group
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WORK HISTORY
Testing and Quality Assurance Lead @Capio Group
CA, US
I am a Testing and Quality Assurance Lead for California\'s Department of Resources Recycling and Recovery (CalRecycle) Integrated Information System (CRIIS) project, focusing on transitioning from the current array of 29 program area applications to a streamlined, integrated information system that supports CalRecycle\'s operations. CRIIS is an enterprise-wide solution based on Salesforce and Workday that administers recycling and waste management programs. My team of 20 QA engineers builds a 100% project test automation for the Salesforce-Workday-Mulesoft solution using Copado Robotic Testing and Azure DevOps. We are shifting left, automating everything, and have already built 1500+ automated test cases with a total of seconds of test execution machine time daily, and we are just getting started!
EDUCATION
Novosibirsk State University
Master's Degree
Novosibirsk State University (NSU)
Master's degree, Computer Science
Sierra College
ESL courses, English as a Second or Foreign Language
Sierra College
English as a Second Language
ABOUT ALEKSEY PAUTOV
I am a Senior QA & Test Automation Leader with 12+ years of experience building high-performing QA organizations, architecting scalable automation systems, and driving quality for Salesforce, cloud ERP, and SaaS platforms. My approach combines deep engineering thinking, AI-augmented workflows, and data-driven decision making to deliver fast, reliable, and predictable releases.Most recently, I led QA for a $100M+ statewide Salesforce modernization program, where I built and managed a 20-engineer distributed QA organization and delivered 1,200+ automated tests fully integrated into CI/CD. This automation suite has identified 500+ critical defects and enabled 0% escaped defects across multiple releases—while reducing regression time by 60%.I’m passionate about AI-enabled quality engineering. I actively use LLMs (ChatGPT, Gemini, Copado AI) to accelerate test design, scenario discovery, debugging, log interpretation, and exploratory testing. AI helps my teams find more issues in less time, improve coverage, and reduce engineering noise. To me, AI isn’t a tool — it’s an integral part of how modern QA should operate.In previous roles, I built enterprise-level automation platforms that detected 90%+ of defects pre-release, shortened release cycles from 10 months to 1.5 months, and scaled QA teams supporting multi-product ecosystems. I have worked across startups and large enterprises (including Microsoft) and understand how to balance speed, quality, and operational reliability.What I bring:Leadership experience building and scaling QA teams (7–20 engineers)Automation architecture expertise across UI, API, and integration layersStrong CI/CD mindset with Copado, GitLab, Jenkins, quality gates & release readiness scoringAI-augmented testing workflows that improve engineering velocityDeep knowledge of Salesforce QA, Copado Robotic Testing, and enterprise platformsAbility to translate business and engineering goals into a measurable quality strategyI love working on complex systems, helping engineering teams move faster, and bringing high-quality releases to production with confidence.If your team is building AI-first products, scaling automation, or redefining quality in a modern engineering environment, I’d be happy to connect.
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