דרושים » מחשבים ורשתות » AI Data Center - E2E QA Network Engineer

We are looking for an experienced System Integration engineer who specializes in service provider solutions and complex Routing/MPLS Environment.
Responsibilities:
Simulate and validate the integration between multiple routing and networking features in complex environment
Learn, investigate and write Test Plan
Run testing scripts and monitor the result in lab environment
Be an integrated part of network design for our customers.

We are looking for a Software Automation QA Engineer to join our Storage team. This position will be part of the QA team while the main goal is to test the Storage and Networking area, which enables our products to meet the industry-leading benchmarks of efficiency and quality. The ideal candidate will engage in testing of Storage and Networking drivers, be able to learn new features, execute manual and automated tests.
What you'll be doing:
Review arch design and requirements for new features
Design and execute tests for the new features, as part of software GA releases
Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by the R&D team, raise if not fixed
Execute tests in different scopes: regression, performance, functional, security. report the progress of testing and provide summary reports of testing activity
Define and build setups topologies for appropriate product coverage
Writing automation infrastructure in multiple frameworks (Python, Perl). Developing sophisticated, stable, automation frameworks to increase efficiency, re-usability, and flexibility. Enhancements & maintenance of each framework.
Schedule test runs, publish reports and analysis with detailed and specific bug reports for failures.

We are looking for a DevTest Group Manager with strong expertise in AI-driven testing and a proven ability to lead teams through the adoption of AI tools and methodologies. This role combines leadership, quality engineering, and innovation, with a focus on transforming traditional testing into a scalable, AI-enabled practice. You will lead multiple DevTest teams, drive strategy, and implement AI-based solutions to significantly improve efficiency, productivity, and quality across the organization.
Key Responsibilities
Lead and manage multiple DevTest teams, including team leads and engineers
Define and execute the AI adoption strategy within DevTest
Drive the transition from manual/automation testing to AI-assisted and AI-driven testing
Identify and implement AI-based testing solutions (e.g., test generation, self-healing tests, intelligent execution)
Build and scale AI-enabled frameworks and tools for E2E testing
Collaborate with R&D and Product managers to integrate AI into the development lifecycle
Ensure high standards of quality, coverage, and reliability across all testing activities
Analyze metrics and KPIs to continuously improve DevTest efficiency and effectiveness
Mentor and develop team members in both technical (with extra attention to AI capabilities) and managerial path
Promote a culture of innovation, learning, and continuous improvement
What Success Looks Like
DevTest teams effectively using AI in daily workflows
Significant improvement in testing efficiency/quality and productivity
Increased test coverage and faster feedback cycles
Successful rollout of AI tools and frameworks across teams
Teams upskilled and confident in working with AI.

We are looking for the best of the best data Networking QA engineers with an ability to think out of the box, execute, and turn the out of the box thinking into real value for our customers.
Responsibilities:
As a data-networking QA engineer, you will:
Be part of R&D scrum team
Work closely with RnD, Product and Architecture to define, develop and test Network features.
Drive quality improvement efforts focusing on networking aspects of newly developed features
Run manual and automated tests on complex environments
Work on linux based platforms and use automation on python environment.

We are looking for a hands-on Data Center Engineer to join our Lab team in Raanana.
This role is critical in a fast-paced, high-demand environment with frequent real-time issues and constant growth. You will play a key role in maintaining, troubleshooting, and scaling our data center infrastructure, while helping bring structure and reliability to day-to-day operations.
Youll report to the Lab Manager and work closely with Networking, IT, R&D, and Support teams.
What Youll Do
Data Center Operations
Install, configure, and maintain servers, network equipment, and cabling
Perform rack & stack activities and ensure proper cabling and labeling standards
Monitor power, cooling, and overall facility health
Support capacity planning (space, power, cooling)
Troubleshooting & Support
Diagnose and resolve hardware and network issues under pressure
Handle tickets end-to-end with high ownership
Troubleshoot connectivity issues (L1-L3) in complex environments
Work closely with vendors on RMA and hardware lifecycle
Network & Systems
Support deployment and maintenance of network infrastructure (routing, switching, VLANs)
Assist with OS and virtualization environments (Linux, VMware, etc.)
Ensure systems are configured securely and according to best practices
Process & Improvement
Improve documentation, SOPs, and lab organization
Maintain accurate inventory, rack diagrams, and system documentation
Help reduce recurring issues and increase operational efficiency.

We are seeking a Senior Automation Engineer to lead the enterprise-scale design and implementation of a modern test automation platform built on Playwright.
This role is ideal for a senior engineer who has successfully led a Selenium-to-Playwright migration in a large organization and understands both the technical and organizational challenges of modernizing automation at scale.
You will define enterprise-wide standards, build scalable automation infrastructure, and drive quality transformation across multiple engineering teams.
How will you make an impact?
Architect and standardize a scalable Playwright framework for multi-team adoption.
Lead and execute the migration strategy from Selenium to Playwright.
Define enterprise automation standards, including:
Async programming best practices
Modern locator and test design patterns
Test isolation and reliability strategies
CI/CD integration and pipeline optimization
Optimize execution performance, stability, and parallelization at scale.
Design automation infrastructure including reporting, observability, and test analytics.
Partner with engineering leadership to embed automation into the SDLC.
Mentor engineers and act as the technical authority for automation strategy.