דרושים » תוכנה » Principal System QA Engineer (DevOps Platform- Cortex Cloud)

We are looking for a motivated Principal System QA Engineer, to join the Cortex System QA group, infrastructure team, in our Tel Aviv R&D center. As a Principal System QA Engineer, you will play the role of setting up the Platform, XDR & XSIAM, system environment, infra-related and System E2E user flows, enhancing them with every release, and executing and analyzing them for different releases. In this role, you will work closely with the developers, product managers, and other QA engineers, and also be in charge of maintaining appropriate test labs for smooth test execution.
You need to have a passion for improving the overall quality of the product you test. All this in a fast-paced process of development, testing, and release. Cortex XSIAM is one of the fastest-growing products in the history of cybersecurity. Being a part of XSIAMs product team gives you an unrivaled chance to work with an amazing core team, on a new product, right from its inception, and do that with the resources of the world's cybersecurity leader. At XSIAM we challenge the status quo and create the platform and practices that redefine the cybersecurity industry as we know it. We are currently on a mission to transform security operations. By breaking the silos between endpoint, network, and cloud, leveraging AI and combining endpoint prevention with cross-data detection, investigation and response - our platform provides the modern SOC with the most complete protection against any threat, at scale. If you are highly motivated, and competitive, and do not shy away from tough challenges, come join our mission and become part of some of the best minds in the world to shape the future of security operations.
More information about XSIAM can be found here.
Your Impact
Test our Cortex Platform from System perspective including all services:
Developing, executing and analyzing infrastructure-related (DevOps and IT deliveries, License management, etc.) System E2E user flows.
Deciding and prioritizing tests to run in System environment, manually and/or automated, thus being on top of all new functionalities/integrations that are introduced in each release.
Analyzing, debugging, reporting and following up on failures and discovered issues
Working closely with automation teams, managing the defined tasks - from requirements to implementation and execution.
Working closely with QA, development and product management stakeholders.
Collaborating with functional QA engineers to enhance regression test suites, prioritize and decide on automation coverage.
Learning about security solutions and technologies
Integration with GCP Cloud Computing
Integration with other company's cloud services.

We are looking for a motivated Principal QA Engineer to join our Tel Aviv R&D center.
The team is a critical part of the Cortex Platform - a shared infrastructure for all Cortex Products (XDR, XSIAM, XSOAR, Platform) that combines full case management, scoring, dashboards, and many more.
In this role, you will need to quickly grasp the underlying logic and strategic goals of our cyber products, understand both the technical and business context, analyze and test new features and bug fixes, and you need to be passionate about improving the quality of the product you test.
All this will happen in a fast-paced, agile-based development, testing, and release process.
Your Impact
Be a part of highly motivated and skilled engineering team
Be the QA owner of relevant user stories, from inception to delivery within a development team
Collaborate closely with dev teams, ux designers, and product managers.
Design and execute tests for new features and enhancements to existing ones.
Effectively design and implement QA cycles that align with our frequent release schedules, ensuring top-notch product quality and reliability
Aim to become a Subject Matter Expert in our products
Your expertise will not only enhance your professional growth but also elevate the value you bring to our team
Reproduce and debug issues found during and after software release.

We are looking for a highly technical individual to join our Cortex XDR Agent team as a Senior QA Automation Engineer. The team builds the foundation of the Cortex XDR agent, from security modules to server communication and task management.
As our Senior Automation Engineer, you will be responsible for product quality, test design, and planning. You will develop automation tests and the required infrastructure, focusing on Windows and macOS environments. This includes deployment, execution, and validation across multiple system configurations. You will work closely with the development team to investigate and resolve issues discovered during testing.
The role is deeply hands-on, requiring a strong understanding of the product, operating systems, and automation frameworks. You should have the ability to streamline processes, enhance test coverage, and improve efficiency through automation using Python.
Your Impact
Design and execute E2E tests in a cross-platform environment: Windows, MacOS
Test new features, focusing on deep internal aspects of the feature and its integration with the OS
Learn new features, technologies and platforms in a relatively short amount of time
Reproduce and analyze bugs, that either came from the field or have been found during the testing cycle
Run QA cycles on a tight release schedule
Work closely with developers, product managers and other QA teams - being involved during the entire release cycle from planning through execution and final delivery
Make a significant impact on the design, implementation and quality of the product.

we are looking for a QA Automation Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

We are looking for a QA Automation Engineer who will play a key role in ensuring the quality and reliability of our website and SaaS platform . This is a hands-on role where approximately 70–80% of your time will be spent developing and maintaining test automation , with the remaining time dedicated to manual testing. This position also includes an exciting opportunity to integrate AI agents into the automation framework — helping us scale testing, improve coverage, and accelerate release cycles. Key Responsibilities
* Design, implement, and maintain automated test suites for regression, integration, and end-to-end testing of our website and SaaS platform. Leverage AI-powered agents or tools to enhance and optimize test automation, including self-healing scripts, intelligent test generation, and anomaly detection.
* Collaborate closely with developers, product managers, and other QA engineers to ensure test coverage aligns with product requirements.
* Perform manual testing for complex use cases, exploratory scenarios, and edge cases not easily automated.
* Monitor and analyze test results, triage failures, and track defects with detailed reporting.
* Maintain CI/CD pipelines and ensure test automation is integrated into the development workflow.
* Evaluate and introduce new tools, frameworks, or AI-based solutions to improve QA efficiency and reliability.

we are looking for a Quality CI Enigneer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

We are looking for a highly technical individual to join our Cortex XDR Agent core team as a Principal Automation Engineer. The team builds the foundation of the Cortex XDR endpoint agent, from security modules to server communication and task management.
We believe automation tests are a critical part of the product release cycle. As an Principal Automation Engineer, you will be responsible to design and maintain the automation infrastructure. You will be involved in feature and test designs, and work closely with developers, product management and other QA members.
Your Impact
Be a part of highly motivated and skilled engineering team
Develop on all the leading platforms both on End points Windows, Mac, Linux And Cloud AWS (Amazon web services), GCP (Google cloud platform), Microsoft Azure and K8s
Lead technical decisions within the group, be part of automation architectural designs, maintain and develop automation knowledge base.
Collaborate closely with QA and Dev teams, DevOps, and product managers.

Were looking for an experienced infrastructure developer to join our QA Automation team. Youll be a key player in building an innovative automation platform for our SaaS product, ensuring our engineering quality reaches new heights.

You will focus on building, maintaining, and enhancing the infrastructure that supports test automation across both backend and frontend. You will be responsible for creating and optimizing tools, frameworks, and pipelines that enable the development and execution of automated tests. This position requires a strong technical background in automation infrastructure, CI/CD integration, and cloud technologies.

Responsibilities


Design, build, and maintain automation infrastructure that supports automated test execution for UI, API, integration tests and more.
Work closely with developers and QA teams to integrate automation tools into the CI/CD pipeline, ensuring automated tests run efficiently and reliably.
Manage the underlying infrastructure, including Docker, and cloud-based services, to ensure smooth operation of the test automation framework.
Create and optimize tools and scripts that facilitate the development and execution of automated tests (e.g., integrating with GitHub Actions, Jenkins, etc.).
Continuously monitor the performance of the test infrastructure, troubleshoot issues, and optimize the environment for speed and scalability
Promote and implement best practices for building and maintaining automation infrastructure, ensuring high standards for reliability and maintainability
Partner with DevOps, developers, and product managers to define automation strategies and enhance software quality.

The Senior Manufacturing Test Engineer is responsible for developing, implementing, and sustaining test processes and equipment used in the manufacturing of hardware products. This role ensures that products meet quality, reliability, and performance standards through robust test strategies, automation, and continuous improvement. The engineer acts as a bridge between design engineering, manufacturing operations, and quality assurance, supporting new product introductions (NPI) through to mass production and sustaining phases.
This is a great opportunity to be part of one of the fastest-growing AI infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
Role and Responsibilities:
Test Development & Validation
Design, develop, and implement test plans, test fixtures and infrastructure.
Collaborate with R&D to define test requirements early in the product lifecycle.
Develop test scripts and automation software (Python, LabVIEW, C#, etc.) to improve coverage and efficiency.
Validate test coverage, yield, and reliability through statistical analysis (GR&R, Cpk, SPC).
New Product Introduction (NPI)
Support EVT, DVT, and PVT phases with test readiness and execution.
Lead test process transfer to contract manufacturers (CMs) or ODM partners.
Train CM engineers/technicians on test systems and procedures.
Ensure compliance with safety, regulatory, and customer requirements.
Manufacturing Support & Continuous Improvement
Monitor production test yields, debug failures, and drive root cause analysis (RCA).
Implement corrective actions and continuous improvements to reduce test time, cost, and false failures.
Maintain and calibrate test equipment and fixtures.
Support ECO (Engineering Change Orders) by updating test plans and equipment accordingly.
Cross-Functional Collaboration
Work closely with hardware, firmware, and reliability engineers to improve product testability and robustness.
Partner with Quality and Operations to ensure smooth scaling into mass production.
Engage with suppliers and CM partners on test strategy alignment.

we are looking for a Quality Automation Team Lead to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.