Top QA Engineer Jobs in Israel

Own frontend quality across the development lifecycle, including requirements review, test strategy, manual and exploratory testing, production monitoring, incident investigation, KPI analysis, and continuous improvement. Collaborate with agile teams to identify risks, validate complex business logic, perform API and data investigations, and contribute to automation and quality tooling. Experience with monitoring systems, SQL, REST APIs, browser debugging, and live-environment validation is required.

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.

Own and lead the company’s QA automation strategy, architecture, frameworks, infrastructure, and CI/CD integration across web, frontend, mobile, API, service-level, and end-to-end testing. Build scalable automation for complex multi-tenant systems, improve reliability and reduce flakiness, establish quality metrics and standards, evaluate AI-assisted testing, collaborate across engineering functions, and mentor automation engineers while remaining hands-on.

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.

Build and maintain automated test coverage while performing manual and exploratory testing. Collaborate with Product and Engineering throughout feature development, identify risks and edge cases, own test planning and release readiness, and improve QA processes. The role also involves using AI coding tools to accelerate test planning and automation in a dynamic startup environment.

Leads the organization’s quality engineering discipline, including AI-driven testing, automation architecture, performance engineering, CI/CD quality integration, and reliability standards. Builds and mentors multi-team engineering organizations, establishes quality metrics and governance, evaluates AI testing toolchains, and partners with Product, DevOps, SRE, and R&D leadership. Requires extensive software engineering or QA experience, director-level leadership, large-scale performance testing, AI/ML systems exposure, and proficiency in a programming language.

The Operations and QA Manager oversees in-game activities and live operations, coordinating teams for smooth execution of events, performing testing, analyzing production data, and managing workflows to improve quality and operational excellence.

Lead on-site QA lab operations for NVIDIA Ethernet systems, including infrastructure installation, cabling, power, inventory, provisioning, and technical support. Validate NVIDIA Spectrum switches running Cumulus Linux across Layer 2 and Layer 3 networking features. Develop manual and automated test plans, maintain Python-based automation, conduct platform bring-up and debugging, and manage defect lifecycles while coordinating with engineering, IT, operations, procurement, and vendors.

Test and approve ETL processes, database scripts, and data pipelines for accuracy, integrity, performance, and reliability. Build automated testing scripts and simulations, apply BDD methodologies, create test documentation and feature files, troubleshoot defects, perform root cause analysis, and support production maintenance. Collaborate with development and data teams to improve testing processes and data quality.

Maintain and improve the Quality Management System, ensure standards and regulatory compliance, support audits, and drive corrective actions. Manage NCR, MRB, 8D, incoming inspection, quality records, monthly KPI reporting, material declarations, and First Article Inspection reports. The role supports product quality and operational excellence throughout the product realization lifecycle.

Lead daily assembly line operations and supervise production teams to meet production, quality, safety, and delivery targets. Train and mentor staff, troubleshoot production issues, collaborate with engineering, PP&C, QA, and logistics, and drive Lean continuous improvement in a defense manufacturing environment.

Lead GCP quality for Prilenia's clinical programs from startup through inspection readiness. Oversee CRO and vendor QA, eTMF quality, CAPA resolution, audits, and regulatory inspection responses. Provide GVP and GLP QA oversight, author SOPs, define quality metrics, build a fit-for-purpose QMS, mentor QA staff, and represent QA in cross-functional governance.

Design, write, and maintain automated test plans and suites across backend, UI, and endpoint sensors. Build regression, component, and end-to-end tests, debug flaky tests, expand OS test matrix (Windows, Linux, macOS), and integrate tests into CI/CD pipelines to ensure reliable releases.

Lead and modernize quality engineering with AI-driven test generation, automation architecture, and large-scale performance engineering. Build frameworks, integrate LLM tooling, set SLOs/KPIs, and grow a cross-functional quality organization embedded in CI/CD and observability pipelines.

Own quality for enterprise network products including ZTNA, SWG, SASE, and VPN. Build and maintain automated test suites, create realistic customer network test environments, validate performance and security under varied conditions, and perform manual testing where automation is incomplete. Partner with R&D as a subject-matter expert in networking protocols and product behavior.

Leads and develops a QA engineering organization while remaining hands-on with product architecture, technical discussions, test strategy, automation, quality metrics, and release readiness. Partners with Engineering and Product to identify risks early, improve testing methodologies, embed quality throughout the SDLC, and ensure enterprise customer use cases are effectively tested. Also supports hiring, onboarding, mentoring, and career development.

The System QA Engineer will design and execute system-level tests, analyze requirements, document tests, and collaborate with cross-functional teams on system validations and integrations.

The QA and Automation Engineer will contribute to software delivery at Digital.ai by developing automated tests and managing test frameworks, leveraging skills in Java and automation tools while working with cloud technologies and mobile development.

Build and maintain automated data validation for large-scale event pipelines, validating end-to-end flows across ingestion, processing, storage, and dashboards. Investigate discrepancies, monitor anomalies and data freshness, create SQL validations and automated reports, maintain CI/CD validation jobs, and collaborate with engineering, data, QA, and product teams to resolve data quality issues. Support performance testing, data observability, and production monitoring.

Perform manual testing to find bugs, usability issues, and edge cases. Create, maintain, and execute test cases based on product and UX flows. Run regression, exploratory, and smoke tests; document results clearly; help reproduce and isolate issues. Collaborate with developers, product managers, and designers to ensure high-quality user experience and contribute to continuous improvement of QA processes, checklists, and documentation.

Design, build, and maintain scalable test automation frameworks (UI/backend) using Python, Pytest, Playwright/Selenium. Create test plans, CI/CD integrations, performance/load tests, observability with Grafana/DataDog, and mentor peers while collaborating with product, DevOps, and engineering to ensure quality, scalability, and security in cloud environments.