QA Automation Engineer with 4+ years in Selenium, Playwright & API Automation
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QA Automation Consultant with ~4 years of experience in scalable automation for SaaS and e-commerce platforms. Expertise in Selenium, Playwright, and API automation, with strong framework ownership and proven impact in reducing regression effort and improving release efficiency via CI/CD.
Senrysa Technologies Ltd.
Consultant (Automation)
September 1, 2025 – Present
Kolkata, West Bengal, India
Nextdoorhub International Pvt Ltd
Software Test Engineer
January 1, 2022 – August 1, 2025
Kolkata, West Bengal, India
ONDC-Based E-commerce Government Platform
June 29, 2026 – Present
• Automated end-to-end workflows • Designed UI + API automation framework for distributed services • Validated multi-service integrations and payment flows • Improved regression coverage and reduced manual effort significantly
SaaS Application Testing & Automation
June 29, 2026 – Present
• Built scalable automation for multi-tenant SaaS platform • Automated user lifecycle, dashboards, and analytics validation • Integrated automation with CI/CD pipelines for continuous testing • Focused on data validation (SQL) and API reliability • CLI-based workflows and AI-assisted tools (Claude, OpenCode, MinMax) to build testing utilities, generate test data, and accelerate automation development
Cultural Fit Analysis
The candidate's project diversity, including an ONDC-based e-commerce platform and a multi-tenant SaaS application, shows adaptability to different business domains. Their experience in owning automation frameworks and integrating with CI/CD pipelines aligns well with a proactive and ownership-driven culture. The breadth of skills across UI, API, performance, and backend testing indicates a versatile team player. The mention of AI-assisted tools suggests a forward-thinking mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in Agile methodologies (JIRA, Confluence) and their focus on fixing flaky tests and improving suite stability. Their work on PR-based auto deployment and QA-controlled promotion indicates a good understanding of modern DevOps practices. The use of AI-assisted tools suggests an innovative and efficient approach to problem-solving.