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Steneral Consulting

Software QA Engineer - Fremont, CA

Steneral Consulting, Fremont, California, us, 94537

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Software QA Engineer – Fremont, CA Base pay range

$55.00/hr - $60.00/hr Location/Onsite Requirement

Position based in Fremont, CA; must work onsite 5 days a week (local candidates only). Interview Process

Initial Glider Test followed by a 1.5-hour in-person interview; decision within 24-48 hours. Core Responsibilities

Design, develop, and execute automated tests for web, client-server, backend, and mobile applications. Build and maintain reusable automation frameworks for UI and API testing. Write automation scripts primarily in Python. Utilize automation tools such as Selenium WebDriver, PyTest, Cypress, or Playwright. Perform backend/data validation using SQL. Test and validate APIs using Postman or similar tools. Integrate automated tests into CI/CD pipelines (e.g., Jenkins). Create test plans, test cases, and test data. Log/track defects in JIRA and document processes in Confluence. Collaborate with developers, product managers, and QA team members to resolve issues. Participate in Agile/Scrum ceremonies and contribute to test planning. Stay updated on emerging QA technologies and best practices. Required Skills

Strong Python scripting and test automation experience. Hands-on experience with Selenium WebDriver, PyTest, Cypress, or Playwright. Expertise in manual testing (black-box, white-box, regression, system, interface testing). Proficiency with SQL for backend/database validation. API testing experience with Postman or similar. Experience with test management/bug tracking tools (JIRA, Zephyr, TestLink). CI/CD pipeline integration skills (e.g., Jenkins). Agile/Scrum team experience. Strong collaboration, communication, and problem-solving skills. Experience testing both web and client-server applications. Preferred / Nice-to-Have Skills

Mobile application testing (e.g., Appium). Experience with additional programming languages (C#, C++, Java, Go). Familiarity with Git/version control tools. Exposure to AI/ML-driven QA tools or LLM-based automation. Experience testing high-availability systems/microservices. Knowledge of documentation tools like Confluence.

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