We are looking for a motivated Senior Automation Engineer to join our Prisma Browser QA group in our Tel Aviv R&D center.
The team is responsible for the design and execution of system, regression, and performance tests for the Prisma Browser. In this role, you will implement automated End-to-End (E2E) system tests for a cutting-edge enterprise browser that runs directly within the user's workspace, securing corporate data and enabling seamless productivity.
You will participate in our group's effort to improve overall product quality by developing, maintaining, and running complex automation suites. You will also play a key role in adopting modern methodologies, including AI-driven testing, to accelerate our fast-paced process of development, test, and release.
Your Impact
You will be an integral part of the Browser Automation QA team.
End-to-End Ownership: Design and develop automated tests for new features under Automation ownership, covering both UI and backend flows.
AI Innovation: Leverage AI capabilities and LLMs to optimize test generation, analyze failure patterns, and enhance the efficiency of the QA process.
Developer Experience (DevEx): Build tools and frameworks that increase developer experience across the engineering organization, enabling faster feedback loops and smoother CI/CD integration.
Infrastructure: Maintain and evolve complex automation infrastructure to support cross-browser and cross-OS testing.
Stability & Analysis: Debug existing tests, improve stability, enhance runtime efficiency, and perform deep analysis over nightly runs.
Requirements: Proven 4+ years of experience as an automation developer.
Browser Automation Expertise: Strong experience with Web/UI automation tools (e.g., Playwright, Selenium, Puppeteer) and a deep understanding of DOM, HTML, and CSS.
Coding Skills: Proficiency in object-oriented programming (Python, Java, or TypeScript preferred).
Testing Processes: Proven experience in QA testing processes, including STP (Software Test Plan) writing and execution.
Technical Breadth: Experience with API testing and understanding of client-server architecture.
Cloud Experience: Experience with cloud environments (AWS/GCP/Azure) an advantage.
AI Interest/Experience: Familiarity with or a strong interest in integrating AI/ML tools into testing workflows an advantage.
Soft Skills & Attributes
Analytical Mindset: Strong analytical and troubleshooting skills with an ability to solve complex technical problems.
Team Player: Collaborative with a high ability to work independently.
Communication: Excellent communication skills with members, staff, and individuals in a professional manner along with the ability to present and explain information effectively in Hebrew as well as in English.
Resilience: Ability to work under pressure with extreme deadlines, prioritize projects & tasks, and maintain focus and a sense of humor in a dynamic environment.
This position is open to all candidates.