Software Quality Engineer

Mid-level
💰$102–158K
🇺🇸 United States
💰Equity
QA Engineer
Software development

What you get to do in this role:

  • Maintain existing automation test frameworks
  • Collect and report quality metrics from test execution
  • Work with developers to design specific testing strategies for features being developed and automate them
  • Create comprehensive test plans; execute and automate them
  • Support engineering organizations in troubleshooting or addressing issues with applications and dev/test environments

Requirements

To be successful in this role you have:

  • 1+ years of experience with technologies relevant to SN and coding skills with high-quality results.
  • Experience working within different automated testing frameworks, including Java, JUnit, Selenium/Playwright, TestNG and other open-source projects.
  • Experience with the agile methodology for software development teams.
  • GenAI testing experience a plus.
  • Ability to understand several testing techniques (e.g. performance, unit, integration, automated), their strengths and weakness, and ability to use them to best effect - including tracking and addressing of any discovered issues.
  • Ability to use tools (such as IDE, debugger, build tools, source control, ServiceNow instances, profilers, system administration/Unix tools) to assist with daily tasks

FD21

For positions in the Bay Area, we offer a base pay of $102,000 - $158,000, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs (subject to eligibility requirements). Compensation is based on the geographic location in which the role is located, and is subject to change based on work location.

 

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Artificial Intelligence
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