דרושים » אבטחת איכות QA » QA Automation Engineer (AI) -JB-28

Eitan Medical is an international Medical Device company that develops and manufactures innovative medical equipment. Specifically, we develop infusion pumps and their related accessory products. Job Description: Eitan medical is looking for a highly motivated Software QA Engineer with strong manual testing capabilities, hands-on automation experience, and practical usage of AI tools for software quality and testing activities. As part of the Digital Health Department, you will be responsible for designing, planning, and executing test scenarios for complex medical software systems. The role combines manual testing, automation development, backend/API validation, and AI-assisted QA workflows to ensure high-quality and reliable products used in real-life patient care. You will work closely with R&D, Product, and System Engineering teams in a dynamic and fast-growing environment. Direct Manager: Digital Health SW QA Team Leader

We are hiring an experienced, forward-thinking Automation Team Lead to lead the evolution of our quality engineering practices into an AI-driven testing ecosystem.
In this role, you will lead a global team of automation engineers while shaping the next generation of intelligent testing-leveraging AI/ML, generative AI, and data-driven approaches to dramatically improve quality, coverage, and delivery speed.
You will combine hands-on leadership with strategic thinking, driving both execution and innovation in how we validate complex security systems.
Reporting to: QA Group Manager
Location: Petah Tikva, Israel (Hybrid model)
Direct employment
Responsibilities :
Lead, mentor, and grow a team of automation engineers, fostering engineering excellence and innovation
Own the teams deliverables, quality outcomes, and technical direction
Design and implement scalable automation frameworks using Java, Selenium, and modern tooling
Drive adoption of AI-powered testing approaches, including:
Using LLMs to generate, refine, and prioritize test scenarios based on requirements, code, and production data
Intelligent test maintenance and self-healing mechanisms
Risk-based and predictive testing using data insights
Define and execute an Agentic vision for QA, balancing practical impact with long-term innovation
Integrate automation into CI/CD pipelines to enable fast, reliable releases
Collaborate with R&D, DevOps, and Product to ensure high-quality delivery
Review user stories and requirements with a quality-first mindset
Support and guide manual testing where needed, evolving it toward automation and AI augmentation
Establish and maintain QA standards, methodologies, and best practices
Promote a shift-left quality strategy, including observability and production validation
Work in an Agile (Scrum) environment

We are looking for a passionate and experienced QA Integration Tech Lead to take ownership of quality across companys products and to lead QA team efforts from both technical and managerial perspectives. As a senior, hands-on QA Integration Team Lead, you will lead the technical direction of a Team, shape testing methodologies, and ensure the reliability and quality of software-hardware integrated system features using manual and automation testing powered by AI.

You will excel in a fast-moving environment with evolving priorities, maintaining excellence, accountability, and strong collaboration with multidisciplinary teams across the R&D department in Agile methodologies.

What you will do
Lead and mentor a team of SW/ HW/ RF Integration engineers.
Perform hands-on manual/ automation testing of complex SW-HW integrated systems.
Define, implement, and continuously improve QA processes, methodologies, and best practices.
Own quality throughout the full product lifecycle, from requirements to final deployment on the customer side.
Plan QA activities based on business and technical priorities, adapting quickly to changing needs.
Work closely with all R&D teams.
Identify risks, prioritize issues effectively, and ensure timely and high-quality deliveries.
Strengthen the companys quality culture by promoting ownership, accountability, and collaboration.
Lead the QA team technically, providing hands-on guidance and setting high standards for quality.
Manage and operate QA labs, including Traffic Generators, Satellite emulators, RF equipment, and more, while supporting off-shore teams remotely.

Execute comprehensive testing of AI datacenter networking solutions, focusing on SONiC-based systems, smart NIC integration, and high-performance networking for AI workloads.
Key Responsibilities:
Design large scale testing topologies with GPU/Traffic Generators and execute test cases for SONiC/our company network operating system functionality.
Validate smart NIC performance and integration with SONiC datapath
Perform functional, performance, and stress testing of AI networking scenarios
Develop automated test scripts for regression testing and continuous validation
Execute interoperability testing between different hardware vendors and software versions
Validate RDMA, high-speed Ethernet performance for AI workloads
Test failover scenarios and network resilience under various failure conditions
Document test results, file detailed bug reports, and track issue resolution
Collaborate with development teams to reproduce and isolate defects
Participate in customer proof-of-concept testing and field issue reproduction.

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 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.

Required Field System QA
Our people are our greatest strength - and technology is our passion. Our team of innovators and subject matter experts, including veterans of elite military intelligence technology units, is transforming the way organizations protect themselves from drone threats.
As the global leader in cyber-takeover counter-drone technology, we design and deliver advanced, software-defined solutions that empower our customers to detect, take control, and safely land unauthorized drones - with precision and reliability.
Every day, we push the boundaries of innovation to meet real-world security challenges across industries and environments. Were proud of our cutting-edge technology, our global reach, and the impact we make in securing the skies.
Were seeking passionate professionals who thrive in a fast-paced, creative, and collaborative environment - those who want to be part of the next generation of airspace security innovation.
Join us and help make the world a safer place.
Work with the worlds leading cyber-takeover counter-drone technology provider and shape the future of safe airspace.
Our ideal candidate is a proactive learner with excellent problem-solving skills and a strong desire to work hands-on with system testing and verification.
While no prior professional experience is necessary, a natural curiosity for how systems work and an enthusiasm for tackling challenges in diverse, outdoor settings are highly valued.
This role is highly hands-on and field-oriented, with the majority of time spent conducting outdoor system tests in real-world environments. You will be actively involved in end-to-end validation of complex hardware and software systems, troubleshooting issues on-site, and working closely with multidisciplinary teams to ensure optimal performance.
The position requires adaptability, independence, and a proactive approach, as you will operate in dynamic, fast-changing conditions and take ownership of testing activities from execution through reporting.
What will your job look like?
Verifying system features and functionality
Outdoor system performance tests.
Working in a young, dynamic & demanding environment on cutting edge technology.
Conduct end-to-end testing of integrated hardware and software components, ensuring seamless operation.
Provide detailed bug reports, logs, and reproducible steps for issues found in the field.
Generate regular reports on field QA activities, system performance trends, and key findings.

We are looking for a Software Automation Engineer to join our QA team and to take part in the testing process from planning to execution.
Responsibilities:
Responsible for QA processes, testing and release to production of multiple SaaS products.
Build the test plan for the products.
Identify the risks and appropriate test coverage to validate new features as well as regression and develop test plans and cases.
Lead the test execution and preparation for release.
Execute test cases, manually or in an automated fashion, capture and analyze the results, document issues and prepare test reports.
Work with the R&D and Product to deliver high-quality tested SaaS products.
Write test automation for APIs, UI and stress-testing, as an integrated member of an agile R&D team, building a robust application.
Take responsibility for the quality delivery of product releases.
Participate in defining and optimizing the R&D work processes.