Product Software Quality Assurance EngineerAs part of the Product Software Quality Assurance team, your role will focus on building scalable integration automation frameworks and enhancing existing frameworks for automated testing of web-based cloud, backend, and mobile applications. You will design and implement functional and integration automation tests for mobile apps used by customers and backend applications, ensuring comprehensive test coverage at API, integration, and end-to-end levels. By prioritizing automation for repetitive tasks, developing robust regression suites, and focusing on edge cases and high-stress scenarios, you will ensure the reliability of safety-critical tools.Required Skills & QualificationsBachelor's or Master's degree in computer science, engineering, mathematics, or a related field5 years of experience as a Software Development Engineer in Test with proven skills in writing automation frameworks for cloud applications from scratchStrong proficiency with Python, Kotlin, and tools like Git, BuildkiteExperience building functional and performance automated tests for backend cloud applicationsA self-starter who is capable of defining and implementing new tools and processes from start to finishPrior work experience in a relevant industryApplicants must be able to work directly for Artech on W2Preferred Skills & QualificationsExperience in implementing AI tools in the testing domainHands-on Playwright automation experienceDay-to-Day ResponsibilitiesDesign, implement, and maintain scalable functional and test frameworks used across the company for integration and subsystem testingCollaborate closely with QA, SDETs, and software engineers on cross-team initiatives to maintain and continuously improve end-to-end validation workflowsLead feature-level testing by defining test strategy and plans, executing manual testing, and driving the transition to robust automation within the integrated tooling ecosystemSupport and partner with users of our frameworks and tools, continuously refining them to improve reliability, usability, and overall engineering efficiencyImplement AI tools to make testing faster and more efficient