QA Automation Engineer Resume Example

Senior QA Automation Engineer · Stripe

New York, NY · 2023 - Present

• Led the design and implementation of a new API automation framework using Go and Ginkgo, reducing testing time for payment gateway integrations by 35% across 200+ microservices.
• Developed comprehensive performance testing suites with JMeter and Locust for critical payment processing APIs, identifying and resolving bottlenecks that improved transaction throughput by 20% (from 10k to 12k TPS).
• Pioneered security testing initiatives, integrating SAST/DAST tools (e.g., SonarQube, ZAP) into CI/CD pipelines, which helped mitigate 15+ high-severity vulnerabilities before production deployment.
• Mentored a team of 3 junior QA engineers on best practices for test automation, code reviews, and defect root cause analysis, enhancing overall team productivity by 25%.
• Collaborated with product and engineering teams to define clear, measurable quality gates and release criteria, reducing production-impacting defects by 40% year-over-year.

QA Automation Engineer · Robinhood

Menlo Park, CA · 2021 - 2023

• Developed and maintained a Python-based automation framework using Pytest and Selenium for web and mobile trading platforms, improving test coverage for critical user flows by 60%.
• Automated over 500 regression test cases for new feature releases, reducing manual testing effort by 70% and accelerating release cycles by 2 days per sprint.
• Integrated automated tests with GitLab CI/CD, resulting in immediate feedback on code changes and reducing defect leakage to higher environments by 30%.
• Participated in daily stand-ups and sprint planning, providing critical insights on testability and quality risks, contributing to a 10% reduction in post-release bugs.

Junior QA Automation Engineer · TradeFlow Solutions

Boston, MA · 2020 - 2021

• Assisted in building initial automation test scripts for a high-frequency trading platform using Java and TestNG, covering 100+ key functionalities.
• Executed functional, integration, and regression tests, identifying and documenting 200+ defects in JIRA, ensuring product stability prior to market launch.
• Contributed to the development of robust data validation scripts, detecting discrepancies in financial data feeds with 99.8% accuracy.
• Collaborated with developers to reproduce and debug issues, shortening defect resolution time by 15%.

Bachelor of Science in Computer Science · Carnegie Mellon University

Pittsburgh, PA · 2016 - 2020

• Graduated Magna Cum Laude with a GPA of 3.8/4.0.
• Relevant Coursework: Algorithms & Data Structures, Distributed Systems, Software Engineering, Database Systems, Computer Networks.
• Senior Capstone Project: Developed a real-time stock market simulator, ensuring data integrity and concurrency under high load, achieving 99.9% uptime during stress tests.
• Awarded Dean's List for all semesters of attendance.

QA Automation Engineer · Palo Alto Networks

Santa Clara, CA · 2024 - Present

• Designed and implemented new automation tests using Java and Selenium for cloud security products, expanding test coverage by 30% across critical modules.
• Integrated automated test suites into CI/CD pipelines (Jenkins), reducing regression testing time by 40% and accelerating deployment frequency by 2x.
• Developed and maintained a performance testing framework with JMeter, identifying and resolving 5+ critical bottlenecks that improved system response time by 15%.
• Mentored junior QA engineers on best practices for test automation and framework development, improving team efficiency by 20%.

Software Quality Assurance Engineer · Databricks

San Francisco, CA · 2022 - 2024

• Transitioned from manual testing to building automation scripts using Python and Pytest, leading to a 20% reduction in manual effort for release verification.
• Contributed to the development of a BDD framework (Cucumber) for feature testing, increasing collaboration with product and development teams and reducing ambiguity by 10%.
• Identified and reported 50+ critical defects before production release through comprehensive test plan execution, preventing customer-facing issues and saving an estimated $100k in potential rework.

Data Analyst · Workday

Pleasanton, CA · 2020 - 2022

• Analyzed large HR software datasets, identifying key trends and reducing reporting time by 15% through SQL query optimization and automated report generation.
• Developed and maintained interactive dashboards using Tableau, improving data visualization for stakeholders and increasing report adoption by 20%.
• Collaborated with engineering teams to define data requirements for new features, ensuring data integrity and contributing to a 10% reduction in data-related bugs.

Bachelor of Science in Applied Mathematics · University of California, Berkeley

Berkeley, CA · 2015 - 2019

• Graduated Magna Cum Laude with a GPA of 3.8/4.0
• Completed capstone project on predictive modeling for financial markets, achieving 92% accuracy using Python and statistical methods
• Relevant Coursework: Statistical Modeling, Numerical Analysis, Algorithms & Data Structures, Probability Theory, Machine Learning Fundamentals