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Senior Automation Engineer with 5+ years in Playwright, API Validation & CI/CD
Senior QA Engineer with 4+ years of experience in automation testing, API validation, and CI/CD pipeline implementation for enterprise applications. Skilled in Playwright, Selenium, TestNG, Java, JavaScript, and REST API automation, with strong exposure to microservices architecture, Agile/Scrum methodologies, and DevOps-driven quality practices. Proven ability to design scalable automation frameworks, improve test coverage, and ensure end-to-end quality across backend and web systems. Adaptive to working with cross-functional teams to drive shift-left testing and accelerate release cycles.
Birla Institute of Technology and Science, Pilani
M.Tech · Software Engineering
August 1, 2022 – June 30, 2026
Jadavpur University, Kolkata
M.Sc. · Instrumentation Science
August 1, 2020 – June 30, 2022
Calcutta University, Kolkata
B.Sc.(Hons.) · Physics
August 1, 2017 – June 30, 2020
LTIMindtree
Automation & Performance Testing
January 1, 2023 – Present
India
LTIMindtree
API & Manual Testing
January 1, 2021 – January 1, 2023
India
End-to-End Data Driven Automation Framework
January 1, 2026 – Present
Designed and developed a production-ready, modular data-driven framework using Playwright with JavaScript, achieving 80+ reusable component coverage and reducing script duplication by 40%. Automated 30+ end-to-end user flows for an online hotel booking platform, including search, booking, and payment validation, resulting in a 70% reduction in regression effort. Integrated automated suites with Jenkins CI/CD pipelines, enabling scheduled, headless, and remote executions, improving execution speed by 50% and supporting parallel runs. Deployed Playwright HTML Reports and Allure reporting, improving debugging efficiency and reducing defect triage time by 30% using logs, screenshots, and trace artifacts. Demonstrated strong SDET-level ownership by designing for scalability and maintainability, increasing framework stability and reducing flaky tests by 25%.
View ProjectPeakPulse Commerce Performance Assessment
January 1, 2025 – Present
Designed and executed load, stress, and endurance tests simulating 5x peak-sale traffic, validating platform stability for 10,000+ concurrent users during flash-sale scenarios. Identified 12+ critical performance bottlenecks across application, database, and API layers, resulting in a 38% reduction in average response time after optimization. Improved system throughput by 30% by fine-tuning thread pools, connection limits, and caching strategies based on test findings. Analyzed SLA compliance under peak load and reduced 95th percentile latency from 4.2s to 2.6s, ensuring checkout and payment flows met business performance targets. Generated a comprehensive performance readiness report with actionable recommendations, helping achieve zero critical failures during simulated peak-sale events.
Cultural Fit Analysis
The candidate's project diversity, including end-to-end data-driven automation and performance assessment, aligns well with a senior automation engineer role. Their experience in both UI and API automation, coupled with performance testing, shows a broad skill set valuable in a dynamic team. The continuous pursuit of higher education (M.Tech in Software Engineering) indicates a commitment to learning and professional growth, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through regular Scrum participation and defect management. Their experience in root-cause analysis and improving debugging efficiency indicates a problem-solving mindset. The ability to manage defect lifecycles and work with cross-functional teams suggests good operational fit within an Agile environment.