דרושים » אבטחת איכות QA » QA Engineer

As a QA Engineer, you will play a key role in ensuring the quality, reliability, and flawless execution of core systems. Youll work on high-scale, cloud-native services that power critical payment and business flows, taking ownership of the testing lifecycle - from test planning and execution to production monitoring and continuous improvement. Youll collaborate closely with engineers, product managers, and other stakeholders to maintain our high engineering standards and deliver a seamless experience for our publishers and their users

We are looking for someone analytical, detail oriented, and comfortable working in an agile environment.

If you are passionate about identifying potential issues early, and making a lasting impact on quality processes in a dynamic and rapid-growth environment, this is the place for you!

Responsibilities:

Analyze product requirements, technical designs, and user flows to identify gaps, risks, and missing scenarios early in the development cycle
Create test plans and risk based testing strategies for complex features, around payment flows and integrations
Investigate issues using logs, and monitoring systems
Perform robust API, UI, and integration testing across multiple regions, currencies, and devices.
Lead efforts to identify automation gaps and continuously raise the bar on test effectiveness and coverage.
Leverage AI tools to accelerate workflows and improve quality strategy and execution.

We are looking for a top-notch Sr software automation engineer to drive our test efforts and automation infrastructure. You will be in charge of, first and foremost, product quality, design and plan required quality assurance tests, you will develop automation tests and needed infrastructure together with deployment to all known cloud providers using python, and working closely with a development team to address issues that were discovered. Additionally, you will be involved in developing test infrastructure for Unit-Tests, Integration-Tests and more, while providing the infrastructure as a service to the dev teams. The job is deeply hands-on and requires a deep understanding of the product, and the environments it runs.
Your Impact
Work closely with our engineering teams to understand business requirements
Own and develop test infrastructure used by dev teams, while providing them with guidance and assistance for using it
Design, plan and implement automatic tests for our critical business paths
Own and adjust our UI testing framework to support dev teams which are using it to develop end-to-end tests
Own and improve peripheral tools for our quality efforts, such as reporting, investigation etc.
Identifying, reporting, documenting and tracking defect/bug issues
Investigate, analyze and find the root causes for failed systems and software
Ability to effectively communicate with all levels of the organization
Excellent verbal and written communication skills.

We are looking for a detail-oriented and technically skilled Senior QA Engineer to join our engineering team and help ensure the quality, reliability, and security of our product.
In this role, you will own the quality of complex cybersecurity features from design through production, working closely with developers, product managers, and automation engineers. You will play a key role in defining test strategies, identifying risks early, and ensuring high-quality releases.
As part of your daily workflow, you will leverage AI-powered tools to improve test planning, discover edge cases, investigate defects, analyze logs, and enhance overall testing efficiency.
The Responsibilities:
Own the automation domain end-to-end: strategy, architecture, implementation, and continuous improvement
Design, build, and maintain scalable test automation frameworks across UI, API, integration, and system layers
Develop hands-on automation code in Python and/or TypeScript
Drive quality standards across engineering teams, partnering closely with developers, QA, DevOps, and product stakeholders
Define and implement automation best practices for reliability, scalability, maintainability, and fast feedback
Integrate and optimize automation within CI/CD pipelines to enable rapid, confident releases
Test complex SaaS, cloud, and cyber-related product flows, including security-sensitive scenarios, permissions, integrations, and system behavior
Use AI tools to support automation development, test generation, debugging, log analysis, documentation, and coverage improvement
Proactively identify coverage gaps and improve system testability, observability, and debuggability
Participate in system design and feature planning to embed quality from the earliest stages
Build and evolve testing environments using scripting, infrastructure-as-code, and cloud-native tools
Mentor and guide engineers, elevating automation standards across the organization

Required Silicon Test and DFT Engineer, Cloud
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.The AI and Infrastructure team is redefining whats possible. We empower customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity.
We're behind groundbreaking innovations, empowering the development of AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Cloud, Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Collaborate with Architecture, Design and Verification teams to develop new product bring-up, validation, characterization, and qualification strategies and manufacturing test solutions for new High Performance Computing (HPC) products in advanced process technologies.
Verify test solutions on pre-silicon models (simulation or emulation) and develop Automated Test Equipment (ATE) test modules and binning flows.
Develop and validate test programs on Automated Test Equipment (ATE) platforms for new product integration (NPI) in preparation for high-volume manufacturing (HVM), working with ATE vendors and internal cross-functional teams.
Manage product sustainment support, including analyzing volume data, improving test time and yield, assessing test escapees and return merchandise authorizations (RMAs), localizing failures, implementing containment measures, and partnering with design, manufacturing, and quality and reliability teams to identify root causes and implement corrective actions.
Build tools, flows and methodologies to continuously improve and automate the testing life-cycle.

We are looking for a brilliant, curious, creative, and fun-loving Senior Automation Engineer with a passion for excellence and collaboration. Youll also be ready to take on a huge challenge of building and testing aprils applications, APIs, computation engine and financial platform! We are looking for an individual who is comfortable and excited about taking ownership and driving initiatives from beginning to end and is not afraid of anything (in tech :P). If youre all that and looking to lead, invent, and grow professionally you should definitely consider applying to join us on our journey!
Key responsibilities:
Design and develop aprils manual testing and automation processes, tools and infrastructure
Be part of our core engineering team developing our services and system architecture
Take significant part of the testing & quality assurance processes april-wide and ensure that quality is built into every step of the development life-cycle using the latest technologies and overcoming limitations
Help define and drive our best practices and frameworks
Work closely with the product team to define the testing strategy and incorporate it in our program plans and roadmap, execute the testing plans and be the advocate for benefits of QA & automation
Influence design decisions, architectures, select/evaluate tools, and enforce a quality-based approach.

Were looking for a skilled and detail-oriented QA Engineer to join our team and help shape the future of cloud data security. In this role, youll be responsible for ensuring the robustness of platform, leading automation efforts, and driving product quality across development phases. Youll collaborate with cross-functional teams, validating specifications, enhancing automation coverage, and ensuring a seamless user experience. Your work will directly contribute to delivering a secure and reliable product that our customers trust.



What Youll Do

Maintain and manage cloud environments across AWS, GCP, and Azure to support testing and quality assurance.
Build, enhance, and maintain test automation frameworks for the platform group, ensuring comprehensive coverage.
Act as a quality champion within the team, fostering a strong automation culture and driving best practices.
Collaborate with product managers and developers to validate specifications, align on quality expectations, and ensure smooth feature releases.
Own product quality throughout the software development lifecycle, from customer feedback and design validation to implementation and deployment.
Serve as the go-to expert on product quality, acting as the key link between customer success, product management, and engineering teams.

Were looking for a QA Automation Engineer to join our Backend Automation Team.

In this role, youll design, develop, and implement automated tests for complex backend services, ensuring our distributed systems remain reliable, performant, and secure as we scale.

Youll collaborate closely with backend engineers and other QA automation developers to embed automation into the development lifecycle and take ownership of quality assurance across critical backend components.



What Youll Do

Design, develop, and maintain automated test frameworks for backend services.
Write clean, maintainable, and efficient test code in TypeScript.
Build and execute automated test suites to validate Kafka message flows, stream processing, and other backend integrations, data pipelines, and APIs interactions.
Integrate automated tests into CI/CD pipelines, monitor test coverage, and ensure test stability and reliability.
Collaborate with backend developers to define test strategies and ensure new features are testable by design.
Investigate, reproduce, and document defects with clear technical details and context.
Continuously enhance test frameworks, tools, and internal QA processes for greater efficiency and robustness.

Were hiring a QA Automation Infrastructure Engineer to help build and maintain core automation infrastructure.

In this role, youll develop the shared frameworks, tools, libraries, CI/CD integrations, reporting capabilities, and self-service solutions that enable QA engineers and developers to create, run, debug, monitor, and maintain automated tests efficiently.

This is a hands-on engineering role focused on building scalable automation infrastructure that supports quality across R&D.



What youll do

Design, implement, and maintain shared QA automation infrastructure.
Build frameworks, libraries, utilities, and internal tools for automation at scale.
Enable self-service testing for developers and QA engineers.
Support component, integration, system, API, backend, frontend, and E2E testing.
Integrate automated tests into CI/CD pipelines.
Improve test execution reliability, scalability, performance, and debugging experience.
Build reporting, dashboards, and monitoring capabilities for automation KPIs and quality trends.
Troubleshoot automation framework issues, flaky tests, infrastructure failures, and CI/CD pipeline problems.
Collaborate closely with QA Architects, QA Automation Developers, developers, DevOps, and QA leadership.

Contribute to documentation, best practices, templates, and training materials.

Appdome's mission is to protect every mobile app in the world and the people who use them. We are the leader in AI-native mobile business protection, providing cyber and fraud teams with an agentic platform that builds, monitors, and maintains security defenses in Android and iOS apps — with no SDKs, no coding, and no disruption to engineering cycles.
Our platform delivers over 400 security, anti-fraud, anti-bot, and API protection capabilities, powered by deep learning models trained on a decade of mobile defense data and trillions of live threat events. From build time to runtime, Appdome's AI Agents help mobile brands detect, investigate, and respond to threats faster than ever — recognized as the best AI Platform for Cyber Resilience at RSA Conference 2026 for the second consecutive year. Leading financial, healthcare, m-commerce, and B2B brands rely on Appdome to secure over 50,000 mobile apps and protect more than 1 billion end users globally.
Appdome is an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.
?About the Role
We are looking for a Data QA Automation with strong experience in data validation, automation, analytics testing, and large-scale event pipeline quality.
This role is focused on ensuring the accuracy, stability, and reliability of data across our analytics and security event systems. The ideal candidate will be responsible for building automated validations, investigating data discrepancies, monitoring data quality, and working closely with engineering, data, and product teams.
Responsibilities

* Design, build, and maintain automated validation processes for large-scale event pipelines.
* Validate end-to-end data flows across ingestion, processing, storage, and dashboard layers.
* Create SQL-based validations to verify event counts, unique devices, metadata accuracy, schema
* consistency, latency, and data freshness.
* Investigate discrepancies between production systems, staging environments, data warehouses, object
* storage, and customer-facing dashboards.
* Monitor event volume, data latency, anomalies, spikes, drops, duplicates, and missing data.
* Build and maintain CI/CD validation jobs using tools such as Jenkins or GitLab CI.
* Create clear automated reports, dashboards, and email summaries for validation results.
* Work closely with backend engineers, data engineers, QA teams, and product stakeholders to identify,
* report, and validate fixes for data quality issues.
* Support performance and scalability testing for analytics dashboards, queries, and data pipelines.
* Help improve internal data assurance processes, data observability, and production monitoring.