Gideon Bromand

Gideon Bromand

Staff QA Engineer

Role
Staff Quality Assurance Engineer at SugarAI
Location
New York, NY, US
LinkedIn followers
500 followers

About Gideon Bromand

SUMMARYTest engineer with experience in using automation to find defects as early as possible in the software development life cycle. Proficient in testing software applications on entire phases ranging from design, programming, installation and maintenance. Experienced with white box and black box testing and in Python coding along with Selenium WebDriver and SQL database design.TECHNICAL SKILLS• Automation: Python, pytest, unittest, Selenium, SQL, JavaScript, CSS, Java, Virtuoso• AWS: EC2, CloudFormation, CloudWatch, S3, Lambda Functions, Step Function• Database Systems: MySQL, PostgreSQL, SQL Server, SnowFlake• Servers: Jenkins, Django• Tools: Git, GitHub, Jira, Sentry.IO, Ansible, Sauce Labs, BrowserStack, Litmus, Google BigQuery, New RelicQUALITY ENGINEERING SKILLS• Execute and add Selenium automation test cases.• Run regression tests and analyze test results in Jenkins (CI) pipeline.• Perform cross-browser and cross-platform compatibility testing, functional testing, weekly Build Acceptance testing in Sauce Labs.• Developing, maintaining and executing manual tests and regression scenarios for multiple web and mobile applications under test.• Develop test plans and test cases by analyzing design documents and business requirements.• Write and execute SQL queries to validate the database for accuracy, created and added tables when required.• Prepare Test plan and Test cases based on the business requirements.• Test Automation: component, API, end-to-end, regression• Continuous Integration & Delivery• Exploratory manual testing

Experience

  1. Staff Quality Assurance Engineer

    SugarAI

    Jun 2021 — Present · NY, US

    Took a leading role in test automation and manual testing, actively involved in creation of detailed test plans, test cases and test scenarios for different application modules according to functional requirements and business specifications.* Involved in all phases of life cycle, including requirements gathering, project planning, scheduling, testing, defect tracking, management, and reporting.* Developed and maintained automated regression test cases in Virtuoso /Playwright for front/back-end systems using Java Scripts/Python* Performed Security, Performance, Load and Stress testing.* Tested applications compatibility on different platforms (Windows, Linux, Mac OS), browser versions (IE, Firefox, Opera, Safari, Chrome) and Mobile Devices (iOS, Android, Windows Mobile Phone).* Capable of functioning autonomously while also contributing effectively as a team player.* Integrated AI-powered tools (such as GitHub Copilot, ChatGPT, and Virtuoso AI Extensions) to enhance code generation, test design, and defect analysis.* Designed and maintained AI-assisted regression testing frameworks, improving accuracy and reducing manual script maintenance time.* Conducted comparative evaluations of AI coding assistants for quality, speed, and maintainability, and provided technical recommendations for integration into QA pipelines.* Implemented AI-driven analytics dashboards to track automation coverage, failure trends, and test execution metrics in real time.* Leveraged machine learning algorithms for predictive defect detection, test case prioritization, and risk-based testing.

Education

  • Queen's University

    Bachelor of Science - BS, Cognitive Science

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