Top QA Engineer Jobs in Israel

Leads quality assurance and testing for integrated electronics, software, mechanical, and optical systems. Responsibilities include regulatory and certification testing, laboratory and prototype testing, field setup and data collection, result analysis, cross-functional collaboration, and defect tracking. The role requires manual testing across web, mobile, and desktop platforms, QA documentation, basic SQL, interpretation of electrical schematics, and knowledge of industrial communication protocols and EMC standards.

Performs cross-team integration and stability testing by simulating real customer environments and scenarios. Maintains and extends complex environments with real-life data, executes manual and automated testing, troubleshoots distributed client-server systems, queries SQL databases, administers Linux environments, and configures firewalls and routers. Collaborates across global teams and conducts root cause analysis while learning new tools and techniques.

Develop and maintain manual and automated tests, test cases, frameworks, and CI/CD integrations. Perform functional, regression, and integration testing; identify and track defects; collaborate with developers and cross-functional teams; improve QA processes and automation coverage; and explore AI-assisted testing tools.

Performs end-to-end manual testing for mobile products, with a focus on Android environments. Analyzes requirements, creates comprehensive test plans, identifies defects, and collaborates with R&D teams using Jira and TestRail. This is a full-time, on-site role requiring 2–3 years of hands-on QA experience, strong mobile testing expertise, and fluency in Hebrew and English.

Lead Utila’s QA team and own product quality across new features and production systems. Define testing strategy, release criteria, automation direction, and exploratory testing practices. Review test plans, coach and hire testers, and apply AI to test design, failure analysis, and automation with appropriate quality controls. Execute API and end-to-end testing while investigating failures and ensuring reliable releases for a mission-critical digital asset platform.

Leads a team of approximately five QA engineers while owning testing strategy and delivery from planning through production release. Responsibilities include manual, exploratory, API, integration, regression, and end-to-end testing; defect triage; release readiness; technical investigations; and collaboration with development, product, and automation teams. The role also advances AI-assisted QA workflows, testing standards, automation coverage, documentation, and production issue analysis.

Performs hands-on manual and system-level software QA for complex multidisciplinary systems. Responsibilities include defining test strategies, creating test plans and scenarios, executing regression and release testing, conducting customer-site beta testing, investigating failures, analyzing root causes, and coordinating corrective actions. The role requires daily use of AI-assisted tools for test design, data analysis, documentation, risk analysis, and selected automation activities.

Designs and executes functional, regression, and end-to-end tests for SAP systems, interfaces, integrations, and cross-module processes. The role includes analyzing requirements, preparing test scenarios and Software Test Description documents, tracking defects, verifying fixes, and supporting testing with SAP SOLMAN, SAP BW, TFS, and Excel.

Perform manual end-to-end testing for e-commerce web applications, including registration, search, cart, checkout, and account management. Validate product data, UI/UX quality, responsiveness, and visual consistency across devices. Conduct gray-box API and backend integration testing using Postman, document clear test cases, track bugs in Jira, and collaborate with Product, DevOps, and Frontend teams.

Lead the DNOS-SAI system integration testing team and own release quality on Broadcom Tomahawk platforms. Develop and execute test plans for AI data-center networking, validate routing, switching, QoS, GPU clusters, and AI workloads, and analyze performance and congestion. Investigate defects with R&D, verify fixes, run regressions, and support network design and customer bring-up. The role requires deep networking, AI/HPC fabric, Linux, GPU workload, and automation expertise.

Develop and execute manual and automated tests for NVIDIA InfiniBand and NVLINK networking systems. Build testbed topologies, create automation suites using Python and Perl, analyze requirements, debug failures, verify fixes, track testing progress, and document defects. Collaborate with R&D, product marketing, and system verification teams to qualify software releases and ensure robust, scalable networking solutions.

Design, expand, and maintain API and UI test automation frameworks for Claroty’s cyber-physical security platform. Integrate automated quality gates into CI/CD pipelines, investigate complex system and automation failures, improve product resilience, and collaborate with Engineering, Product, and QA teams to ensure release readiness. The role also applies AI-assisted development tools to improve testing efficiency and code quality.

Leads the ACO E2E QA team and owns release quality, test strategy, lab environments, manual testing, defect resolution, and release readiness. Tests web applications, APIs, databases, network infrastructure, AI/HPC workloads, GPU clusters, telemetry, routing, and performance. Builds the automation roadmap, introduces AI-assisted QA practices, mentors engineers, and represents QA in planning, customer escalations, and field deployments.

Designs and executes end-to-end QA tests for an AI Cluster Orchestrator across UI, APIs, databases, networking, telemetry, infrastructure, and performance benchmarks. Maintains complex AI networking test environments, validates BGP and EVPN/VXLAN functionality, analyzes GPU and HPC benchmarks, performs regression testing, troubleshoots defects, and documents results. Collaborates with developers and uses AI agents to improve test design, evidence collection, reporting, and automation.

QA Automation Engineer responsible for test strategy, automated API and UI testing, QA infrastructure, Jenkins-based test suites, failure investigation, and release quality validation. The role involves Java, Playwright, Linux, SSH, networking, and CI/CD troubleshooting, along with maintaining a QA Cloud Agent and collaborating with developers and QA teams. Experience with upgrades, migrations, Kubernetes, and distributed systems is advantageous.

Lead QA strategy and own quality for test frameworks, libraries, and tools. Build/maintain automated test pipelines, CI/CD quality gates, regression suites, fixtures, mocks, and simulators. Track metrics, report results, and collaborate across ITPE teams.

Own end-to-end QA strategy and execution for a cloud-native networking platform spanning UI, APIs, workflow orchestration, microservices, and real network devices. Lead cross-team testing, create automated and negative-path suites, validate provisioning and configuration flows, document and resolve defects, present risks and results, and direct AI agents for test generation and triage.

Develop Python-based testing and automation tools, collaborate with developers on system tests, and define and execute performance scenarios. Analyze complex computer systems, storage platforms, networking protocols, and operating systems. Perform integration, performance, and stress testing, manage regression processes, and automate tests across Linux and Windows environments.

Develop Python-based testing and automation tools, collaborate with developers on system tests, and define and execute performance scenarios. The role requires strong knowledge of computer systems, operating systems, storage, networking, file systems, and testing methodologies including integration, performance, stress, and regression testing across Linux and Windows environments.

Own end-to-end product quality across requirements, architecture, testing, release readiness, and production stability. Review specifications, identify edge cases and integration risks, create AI-assisted automated test suites, investigate complex bugs using logs and SQL, and establish quality standards and metrics. Collaborate closely with product, engineering, and customer support teams while using CLI-based AI tools to accelerate validation and root-cause analysis.

Designs and executes end-to-end automated testing across web and mobile platforms. Develops and maintains Playwright test scripts, collaborates with developers throughout the software lifecycle, performs cross-platform testing, tracks defects, analyzes results, participates in code reviews, and improves automation frameworks and testing practices.

Develop and maintain automated integration, sanity, and regression tests for a cloud-based data platform. Create test plans, document test coverage, analyze results, participate in Agile Scrum activities, and use Java, Spark, AWS, REST APIs, databases, Git, Jenkins, and JIRA to assure backend quality.

Quality assurance engineers support product quality and testing activities for GMS products and solutions. The provided description contains limited role-specific responsibilities or qualifications beyond emphasizing innovation, career growth, and equal employment opportunity.

Quality assurance engineering role supporting GMS products and solutions. The description provides no specific responsibilities, technologies, qualifications, work location, travel requirements, or compensation details.

Execute software QA tests across banking applications, web channels, internal bank interfaces, and accounting systems. Build test scenarios from product documentation, perform API, backend, load, and performance testing, and document and investigate results. Prepare test documents and summary reports, collaborate with product development and R&D teams, and support consistent project execution. Basic test automation knowledge is advantageous.