לוח משרות דרושים הייטק אבטחת איכות QA

We are seeking a detail-oriented and experienced QA Automation Engineer to join our Quality Assurance team. The ideal candidate will be responsible for designing, developing, and executing automated tests to ensure product quality and reliability. You will collaborate closely with developers, product managers, and other QA engineers to deliver high-quality software products.

Key Responsibilities:
Design and implement scalable automated testing frameworks for web, mobile, and/or
API testing
Develop, maintain, and execute automated test scripts using tools like Selenium,
Cypress, Playwright, or similar
Identify test requirements, create test plans, and write detailed test cases
Collaborate with developers and other QA team members to diagnose and debug issues
Track defects and work closely with the development team to resolve them
Stay current with new automation tools, technologies, and best practices
Contribute to continuous improvement of QA processes and standards

Lead a team of QA engineers responsible for ensuring the quality, performance, and reliability of AI datacenter networking solutions built on SONiC infrastructure, smart NICs, and centralized routing controllers.
Key Responsibilities
Lead and mentor a team of QA engineers across hardware and software testing domains
Develop comprehensive test strategies for SONiC-based AI datacenter deployments at scale
Design and implement automated testing frameworks for smart NIC validation
Establish performance benchmarking protocols for AI workload networking scenarios
Coordinate cross-functional testing with AI framework integration teams
Drive continuous integration/continuous deployment (CI/CD) processes for networking stack validation
Manage test environment infrastructure including physical testbeds and virtualized scenarios
Collaborate with customer deployment teams to replicate and resolve field issues
Define quality gates and release criteria for datacenter networking components.

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 and execute test cases for SONiC 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.

This hybrid position is based in Yokneam, Israel/Santa Clara, California/ Lafayette, Colorado facilities. The role requires occasional travel and involves independent work to maintain quality standards across global operations.
Responsibilities may include the following and other duties may be assigned:

Provide oversight for development and maintenance of quality management systems, ensuring full compliance with FDA, ISO 13485, and other regulatory requirements
Lead audit and inspection preparation activities, coordinate with regulatory bodies, and manage resolution of findings through comprehensive Corrective and Preventive Actions (CAPA)
Conduct process analysis and risk assessments to identify improvement opportunities and ensure adherence to quality standards across manufacturing and design operations
Collaborate with cross-functional teams to interpret regulatory requirements and implement quality policies that support our endoscopy and surgical device portfolios
Prepare detailed quality reports and documentation for internal stakeholders and external regulatory agencies
Facilitate global quality standards implementation and best practice sharing across international sites

R41483

For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease. Our technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Engineering Team
Were a team of smart, curious engineers building scalable, reliable systems that power content creation for millions. We work with modern web technologies, tackle real-world challenges in distributed systems, and keep things practicalno overengineering, just solid solutions. If you love solving tough problems, moving fast, and building tech that creators actually use, youll fit right in.
As we scale, we are looking for a Head of QA Automation to lead the transformation of our testing infrastructure, moving from MANUAL QA processes to a robust, modern, and scalable automation-first approach.
On your day to day:
As Head of QA Automation, you will lead the shift from manual to automated testing across all platforms, backend, frontend, mobile, and audio/video. You'll define quality standards, implement automation tools suited to our stack ( React, Node.js, WebRTC), and integrate testing into our CI/CD pipelines. Working closely with engineering, product, and DevOps, youll mentor QA team members and drive a culture of speed, coverage, and quality.
Bottom line? If you wanna take part in transforming how people and businesses share their stories globally, this your place. The work is challenging, the culture is fast-paced, and the people are exceptionally brilliant. And if thats not enough, we guarantee that your ideas will genuinely make an impact.

At Infinidat, we help enterprises and service providers empower their data-driven competitive advantage at scale. We are a leading provider of enterprise-class storage solutions. The company’s software-focused architecture delivers sub-millisecond latency, full availability, and scalability with a significantly lower total cost of ownership than competing storage technologies. We are seeking a skilled Senior System Testing Engineer to join our company. You will collaborate with cross-functional teams to identify and report bugs, verify bug fixes, and develop testing strategies. You will be responsible for ensuring that the System Test team delivers high-quality results, meets deadlines, and maintains effective communication with stakeholders.

Responsibilities:

* Develop and implement system testing strategies and processes.
* Collaborate with cross-functional teams to identify and report bugs.
* Verify bug fixes and ensure they meet the required quality standards.
* Develop and maintain test cases, plans, and documentation.
* Ensure timely delivery of high-quality test results.
* Stay up-to-date with industry trends and best practices in manual testing.

We are looking for a highly skilled ATE Developer to join our R&D Automation Test Equipment & Data analysis team. This role is focused on designing, developing, and maintaining advanced end-to-end automation testing solutions to our product (API, HW, OS, system).
The ideal candidate is a hands-on developer with strong expertise in Python, experienced in building and executing automated tests, comfortable working with modern CI/CD pipelines and automation tools ensuring best practices are followed and test automation is seamlessly embedded into the development lifecycle. Knowledge of RF systems is a strong plus.

Key Responsibilities:
Design, implement, and maintain automation frameworks & HW automation production testers using Python.
Develop and execute HW & system-level and end-to-end automation, including API and UI layers.
Building Automation infrastructure for real time data collections and analysis.
Building UI tools for real time data analysis presentation.
Contribute to and optimize CI/CD pipelines (Jenkins, Docker, Git) for reliable and scalable test automation.
Working closely with SW developers, RF, and DevOps engineers.
Perform code reviews, provide technical guidance, and ensure automation code meets high quality and maintainability standards.
Analyse test results, identify root causes of failures, and drive timely resolution in partnership with development teams.
Continuously evaluate and introduce new tools, libraries, and practices to improve automation efficiency.

We are seeking a highly skilled and motivated Integration Automation Team Leader to join our R&D organization. This role is central to building and leading our automation Infrastructure and testing, ensuring robust test coverage across SW components, integration, system, and end-to-end levels.
The successful candidate will provide both technical leadership and hands-on contributionmentoring a team of automation engineers, establishing best practices, writing automated tests, and driving adoption of modern automation tools and CI/CD methodologies. While the primary focus is integration automation, knowledge of RF systems/Cyber and DevOps is a strong plus.

Key Responsibilities:
Lead and mentor a team of automation engineers, setting technical direction, assigning tasks, and supporting professional growth.
Architect, implement, and maintain scalable automation frameworks using Python and Pytest.
Write, review, and optimize unit, integration, and regression test cases to ensure high-quality software delivery.
Oversee automation of system-level and end-to-end testing, including API and UI layers (Selenium preferred).
Design and maintain CI/CD pipelines with Jenkins, Docker, and Git, ensuring automated testing is integrated into every stage of development.
Collaborate closely with software developers, RF, QA, DevOps, and hardware teams to embed testing and automation best practices into the product lifecycle.
Define, track, and report test metrics such as coverage, execution reliability, and defect detection effectiveness.
Promote a culture of quality and continuous improvement, introducing new tools and practices to strengthen automation.
Act as a technical expert, conducting code reviews and ensuring adherence to coding/testing standards.

We are looking for a highly skilled Senior Developer Integration Automation to join our R&D Integration Automation team. This role is focused on designing, developing, and maintaining advanced automation solutions across unit, integration, system, and end-to-end testing levels.
The ideal candidate is a hands-on developer with strong expertise in Python and Pytest, experienced in building and executing automated tests, and comfortable working with modern CI/CD pipelines and automation tools. The Senior Developer will act as a technical mentor and key contributor, ensuring best practices are followed and test automation is seamlessly embedded into the development lifecycle. Knowledge of RF systems is a strong plus.

Key Responsibilities:
Design, implement, and maintain automation frameworks and test scripts using Python and Pytest.
Write unit tests, integration tests, and regression suites to ensure comprehensive test coverage.
Develop and execute system-level and end-to-end automation, including API and UI layers (Selenium preferred).
Contribute to and optimize CI/CD pipelines (Jenkins, Docker, Git) for reliable and scalable test automation.
Collaborate closely with SW developers, RF, QA, and DevOps engineers to embed automated testing into every phase of the product lifecycle.
Perform code reviews, provide technical guidance, and ensure automation code meets high quality and maintainability standards.
Analyze test results, identify root causes of failures, and drive timely resolution in partnership with development teams.
Continuously evaluate and introduce new tools, libraries, and practices to improve automation efficiency.
Support integration activities and ensure smooth interaction between hardware, software, and automation systems.

Company Overview: our company mission is to enable its global customers to protect and save lives by enhancing digital investigations and intelligence gathering to accelerate justice in communities around the world. our company's AI-powered Digital Investigation Platform enables customers to lawfully access, collect, analyze and share digital evidence in legally sanctioned investigations while preserving data privacy. Thousands of public safety organizations, intelligence agencies and businesses rely on our companys digital forensic and investigative solutionsavailable via cloud, on-premises and hybrid deploymentsto close cases faster and safeguard communities. 
Position Overview: We are looking for a Senior Performance Engineer to design, implement, and scale performance and automation testing practices across our platform. This is a highly technical and hands-on role that requires deep expertise in AWS services (including Lambda, EKS, and S3), infrastructure-as-code (Terraform, Helm), and modern automation and performance testing tools. The ideal candidate has strong experience in TEST automation and performance engineering, with the ability to work closely with R&D, DevOps, and QA teams to define TEST levels, identify bottlenecks, and ensure system -wide resilience and scalability. A strong can-do approach, deep understanding of microservices, and the ability to see the big picture while driving execution are essential for success in this role.
Responsibilities:
* Contribute to the design and evolution of end-to-end TEST automation and performance strategy for complex distributed systems.
* Implement scalable automation frameworks for UI, API, and integration testing using modern tools (e.g., Selenium, Cypress, Playwright).
* Lead performance testing initiatives using tools like JMeter, k6, Gatling, and troubleshoot system bottlenecks.
* Integrate automation and performance tests into CI/CD pipelines using GitHub Actions, Jenkins, or equivalent.
* Work with AWS services (Lambda, EKS, S3, RDS, API Gateway, etc.) and infrastructure-as-code via Terraform and Helm.
* Collaborate with R&D, DevOps, and QA to align on quality goals and adopt best practices across services.
* Define and execute TEST level scenarios (unit, integration, system, performance, chaos).
* Build observability into the testing and performance lifecycle using Grafana, Prometheus, Datadog, etc.
* Ensure high TEST coverage and system -wide visibility into resilience, scalability, and performance.
Office Location:
Petah Tikva

We are looking for a highly skilled and experienced Automation Infrastructure Tech Lead to drive our test automation efforts and lead our automation infrastructure excellence. This role is a unique opportunity to combine technical leadership, hands-on development, and acting as a Scrum Master for the team, ensuring our automation solutions are robust, scalable, and aligned with business needs.
As Automation Infrastructure Tech Lead, you will lead the development of automation infrastructure and services using Python and a BDD framework, collaborating closely with automation engineers and development teams. Additionally, you will design and implement test infrastructure for end-to-end, component, API, and UI testing, providing test automation infrastructure as a service for automation and development teams.
This role requires deep hands-on involvement, strong problem-solving skills, and a thorough understanding of our product and its deployment environments.
Your Role Impact:
Architect, evolve, and scale test automation infrastructure for end-to-end, API, UI, and component tests.
Provide mentorship, best practices, code reviews and technical guidance to automation and development teams.
Facilitate Agile best practices by acting as a Scrum Master, managing task allocation based on priority and team capacity, and ensuring seamless collaboration within the team.
Own, develop, and maintain scalable test automation infrastructure across teams.
Enhance and optimize BDD-based testing framework, improving efficiency and scalability.
Improve automation services and tools (e.g., reporting, debugging, and troubleshooting tools).
Analyze infrastructure failures, troubleshoot root causes, and drive improvements and stability.
Communicate effectively across all levels of the organization, ensuring transparency and alignment.

We are seeking a highly skilled Senior Automation Infrastructure Engineer to join our quality engineering team and drive innovation in our automation infrastructure. This role is ideal for an experienced engineer passionate about building scalable, robust test frameworks and infrastructure that empower automation and development teams to deliver high-quality products efficiently.
As a Senior Automation Infrastructure Engineer, you will play a key role in developing and maintaining the core components of our automation ecosystem. You will collaborate with automation engineers, developers, DevOps, and QA to design and enhance infrastructure for comprehensive end-to-end, component, API, and UI testing. Your work will enable teams to accelerate their testing cycles through reliable and efficient tooling.
This is a hands-on engineering role with significant ownership and impact across multiple teams and services.
Your Role & Impact
Design, build, and maintain scalable automation infrastructure and tools for E2E, API, UI, and component testing.
Develop and extend automation services using Python and BDD-based frameworks.
Collaborate closely with QA, DevOps, and development teams to integrate test infrastructure into CI/CD pipelines.
Identify and implement improvements in test stability, performance, and developer experience.
Build and maintain test utilities for reporting, debugging, and failure triage (e.g., log collection, dashboards).
Investigate test infrastructure issues, identify root causes, and drive resolutions to improve reliability
Ensure infrastructure and tools support test execution across environments (e.g., Dockerized, cloud-native deployments).
Contribute to documentation, best practices, and knowledge sharing across teams.