Saurabh Verma

Dynamic SDET with 3.7 years of experience in Web and API Automation using Java, Selenium, Playwright, and TestNG. Proven expertise in BDD frameworks, API validation, and end-to-end e-commerce testing across web, API, and database layers. Skilled in test documentation, defect tracking, and CI/CD workflows (Git, Jenkins), with strong ownership and fast turnaround in Agile environments. Actively leverages Generative AI to accelerate scenario generation and debugging.

Software Development Engineer in Test (SDET) - Infosys Ltd - Pune, India

(2021-09 - 2025-03)

• Developed and scaled cross-browser hybrid automation frameworks (Java, Selenium, Playwright, TestNG, POM), covering 200+ test cases and cutting script maintenance effort by 40% (8-10 hrs/sprint saved).
• Integrated AI tools (GitHub Copilot, ChatGPT) into the coding workflow, reducing script creation cycles by 25% and cutting dev time per test suite from 2 days to under 1.5 days.
• Engineered end-to-end automation for high-transaction retail modules across 10+ integration points, validating real-time sync between Web UI, REST APIs, and backend databases.
• Automated 80+ RESTful endpoints using Postman and REST Assured; parsed JSON payloads with Jackson Databind and validated OAuth2, Bearer Token, and Basic Auth protocols.
• Engineered Cucumber BDD frameworks with Gherkin, mapping 60+ user stories to reusable step definitions, improving scenario reusability by 35%.
• Leveraged existing Jenkins CI/CD pipelines to execute automated regression suites and support faster regression testing.
• Performed manual testing of web applications, maintaining 100+ test cases and test plans per release across functional, regression, and UAT cycles.
• Used Azure log monitoring and SQL queries to track transaction anomalies, reducing defect triage time by 20% to under an hour per incident.
• Managed end-to-end STLC in JIRA and Zephyr across 4-6 parallel sprints per quarter, handling traceability matrices for 50+ user stories per release.
• Tracked 150+ defects per release cycle with accurate severity/priority classification, contributing to a 30% reduction in production defect leakage.

B.Tech - Computer Science and Engineering - University Institute of Technology (UIT) - RGPV (2021-07)