דרושים » תוכנה » בודק/ת תוכנה ( QA )

We are seeking a skilled and motivated Automation Infrastructure Engineer to join our group. In this role, you will play a crucial part in ensuring the reliability and performance of our products through comprehensive automated testing and taking full responsibility for regression cycles. You will work with a variety of operating systems and projects in complex environments


Responsibilities:
Lead the design and development of robust automation infrastructure using Playwright.
Complex Configuration Management: Gain a deep understanding of complex customer configurations to tailor and optimize automated test environments.
Multi-OS Environment: Manage and execute tests across multiple operating systems, (including Linux, Windows, etc).
Continuously improve and enhance the quality process, methodologies, and tools to increase efficiency, effectiveness, and test coverage.

We're looking for an Automation Engineer to join the System Automation team, the central automation team within engineering department. SA owns the company-wide system automation platform: the system, correctness and performance tests, and the pipelines that run them, across products and a rich technology stack.
Our current focus is scale and performance. We test the limits of the system, benchmark it against realistic, large-scale workloads, and catch performance regressions before every release. We're also turning that expertise into a platform, with frameworks, tooling and know-how that let product teams write and run system tests themselves. You'll work closely with developers, architects, product managers, QA and DevOps engineers, and you'll help shape both the tests and the platform.
What you'll do:
Design, build and evolve the SA platform: the frameworks, tooling and CI pipelines that run system, correctness and performance tests across products.
Plan and run system-limitations testing to find where the product breaks under data volume, concurrency and load, and turn the findings into clear, actionable results.
Build and maintain performance benchmarks on realistic workloads, and run them on to catch regressions early.
Make it easy for product teams to own their system tests by creating reusable building blocks, documentation and examples, and by coaching engineers through knowledge-sharing sessions.
Analyze results with developers and architects to pinpoint bottlenecks and drive fixes
Use AI-assisted development tools and agentic workflows to speed up test creation and maintenance, and keep up with what's changing in automation and performance engineering.