לוח משרות דרושים בדיקות אוטומטיות בתל אביב יפו, לחיפוש זה נמצאו 18 משרות

The Cortex Cloud Data Security Posture Management (DSPM) product is responsible for helping customers understand what data they own, how that data is being used, and how to protect their most sensitive data from cyber attacks and compliance breaches. Data is always the target for attackers and is also one of the most important assets an organization owns today. Helping an organization understand their data footprint and security drives priority and helps impact the entire security program.
We are looking for a top-notch Principal/Senior software automation engineer to drive our test efforts in the Data Security team. As our engineer you will be in charge of, first and foremost, product quality, design and plan required quality assurance tests, you will develop automation tests and needed infrastructure together with deployment to all known cloud providers using python, and working closely with a development team to address issues that were discovered. The job is deeply hands-on and requires a deep understanding of the product, the environments it runs.
Your Impact
Create detailed and well-structured test plans based on requirements and features crew meetings
Design and writing the infrastructure for regression / progression tests
Develop and execute efficient and stable automated tests
Identifying, reporting, documenting and tracking defect/bug issues
Work closely with our engineering teams to understand business requirements
Excellent verbal and written communication skills
Strong focus on customer satisfaction.

we are looking for a Software QA Engineer with a strong background in networking and automation to join our infiniband (ib) and nvlink (nvl) switch QA team. our team is responsible for qualifying software stack for our ib switch, router, gateway and nvlink systems, delivering world-class networking solutions.
you will work at the heart of cutting-edge technology, validating software management features, designing topologies, developing automated TEST suites, and collaborating with engineering and product teams to ensure delivery of robust and scalable systems.
what you'll be doing:
design, develop, and execute manual and automated tests as part of software stack releases.
define, build, and manage testbed topologies for functional, regression, and performance validation.
analyze architectural designs and feature requirements for new networking capabilities.
debug failures, identify root causes, and verify fixes delivered by development teams.
schedule TEST runs, track testing progress, and generate TEST status reports with detailed defect documentation.
write and maintain automation tests across multiple frameworks ( Python, PERL ), enhancing TEST efficiency and scalability.
collaborate with cross-functional global teams including r&d, Product Marketing, and system verification.

what if your Python automation caught a critical asic bug before the physical silicon was even manufactured? our simulation platforms make that happen every release cycle! we are the system ethernet QA team at our r&d center, responsible for the testing and qualification of virtual networking silicon (simx) and software-from l2 forwarding and l3 routing to overlays, qos, and security. with simx, developers and QA engineers get hardware-free, early access to the asic for better debugging.
we are looking for a senior QA software engineer who combines network protocol expertise with strong Python automation skills. does debugging a bgp evpn route leak excite you as much as refactoring a TEST framework? then we should talk!
what you'll be doing:
we don't just complete checklists; we collaborate closely with r&d to lead the quality of new features from design to deployment. in this role, we:
review architectural designs and requirements for new features introduced to the product
drive the design, development, and execution of tests across functional, performance, and security scopes as part of sw ga and update releases
develop Python automation suites built on clean oop principles
chase down defects and validate fixes until we fully resolve the root cause
leverage the simx platform to validate code and debug the asic long before hardware arrives

we are a leading direct-to-consumer platform for app publishers.
we help publishers sell digital goods directly to their users - bypassing traditional app store commissions and owning the full payment and commerce experience.
the result: higher margins, better flexibility, and a more direct relationship with end users.
backed by $89m from leading investors and operators, weve grown 14x in the past year and now process over a billion dollars annually. were building the infrastructure that lets modern app businesses take back control of monetization - at scale
as a QA Automation tech lead, you will drive our automation strategy and testing frameworks. youll take end-to-end ownership of the automation architecture across all testing layers (api, UI, and e2e), from design to ci/cd integration. youll collaborate closely with r&d and product, serving as the technical leader championing quality across the team.
responsibilities
drive the automation strategy and framework roadmap, and be responsible for the framework architecture and technical standards (design patterns, structure, reusable infrastructure)
define the automation approach across testing layers: api, service-level, UI, and end-to-end, including mocking and sandbox strategies for third-party payment providers
own automation quality itself: TEST stability, flakiness reduction, execution time, and suite reliability
define and report quality metrics: coverage, pass rate, flakiness, and execution trends
integrate and evolve automation in ci/cd pipelines (github actions) for fast, reliable feedback on every change
represent testability in design and architecture reviews and surface risks early (shift-left)
partner with developers, product, and MANUAL QA to decide what gets automated, at which layer, and what does not
evaluate and introduce new tools and approaches, including ai-assisted testing workflows

we are looking for a AI-First QA Automation Engineer.
As an AI-First QA Automation Engineer, you'll build and scale Playwright automation while using AI tools and agents to transform how testing is developed and executed. You'll build reusable agent skills and workflows, configure agent environments, and optimize AI-assisted test generation, execution, failure analysis, and bug reporting. Working closely with Engineering, you'll help embed reliable AI-driven automation across the R&D lifecycle.
What youll do:
Build Playwright Automation: Design, build, and maintain reliable end-to-end automation frameworks with a strong focus on stability and low flakiness.
Build and Optimize Testing Agents: Develop testing agents and their execution harnesses, including tool integrations, context management, and reusable skills. Evaluate and improve their reliability across test generation, execution, failure analysis, and bug reporting.
Drive AI Adoption: Help QA and Engineering teams adopt effective AI workflows by building shared agent configurations, reusable skills, and practical guidance for everyday development and testing tasks.
Integrate with CI/CD: Embed Playwright automation and AI-driven analysis into GitHub Actions and CI/CD pipelines, including automated test reporting and root cause analysis.
Test AI Features: Develop strategies to validate AI-powered product features, including instruction following, output quality, tool use, and agent state management.

We leverage cutting-edge technology to provide unparalleled financial services solutions.

Our commitment to innovation and excellence has established us as a leader in the fintech industry.

Responsibilities
The role includes test execution of banking processes on clients or banker different channels (application, Web, Internal bank UI systems, accounting)
Build and run test scenarios based on product design documentation
Performing software QA testing
Documentation, investigation, and recording of test results to gather data and hand it over to the R&D team for further analysis.
Collaborate with the Product Development team to ensure consistent project execution