QA Engineer jobs in Israel

Description Location: Ra'anana #Hybrid DriveNets is a leader in high-scale disaggregated networking solutions. Founded in 2015, DriveNets modernizes the way service providers, cloud providers and hyperscalers build networks. Supporting the largest network in the world, more than half of AT&T’s backbone traffic is running on DriveNets’ Network Cloud open disaggregated architecture. Raising $587 million in three funding rounds, DriveNets is disrupting the networking market from high-scale architecture to AI platforms, and is bringing onboard the most talented people. We are seeking people that want to make an impact on the world’s leading communication networks and are experienced in networking architecture or AI infrastructure solutions. What You'll Do: • Design, create and execute comprehensive end-to-end testing scenarios for ACO based on detailed requirements and design documents. • Test ACO across its UI/UX, REST APIs, database-backed workflows and the real infrastructure it manages: switch provisioning and upgrades, inventory and topology, telemetry, alerts, configuration compliance, benchmarking and multi-tenancy. • Maintain and ensure functionality across the QA environments: AI fabric topologies (leaf-spine, DNOS and multi-vendor switches), GPU servers, NetBox/SLURM/Kubernetes integrations and the ACO deployments. • Validate network connectivity, configuration and performance across the AI cluster infrastructure: high-speed Ethernet (400/800G/1.6T), GPU nodes, leaf-spine topologies, VLAN/VXLAN, IP addressing, MTU, link status, routing and packet loss. • Verify BGP routing functionality (neighbor establishment, route advertisement, route propagation and convergence) and EVPN/VXLAN-based isolation on data-center fabrics. • Execute and analyze existing AI/HPC benchmarks (RDMA, NCCL/RCCL, MPI, RoCE, training/inference, storage) on GPU and CPU clusters through ACO's benchmarking engine; compare actual performance against established baselines. • Review and understand benchmarking methodologies and test procedures for high-performance networking and collective communication technologies. • Support telemetry collection and validate test data (gNMI/OpenConfig counters, syslog, GPU and NIC metrics) for accuracy, consistency and reliability against device state. • Use performance analysis tools, benchmarking frameworks and diagnostic utilities to execute tests, analyze results and troubleshoot issues. • Execute regression tests to verify that software updates, configuration changes and platform upgrades do not introduce new issues. • Collaborate closely with development teams to investigate failures, reproduce defects with clear evidence, verify fixes and ensure system quality. • Document test procedures, execution results, defects and performance metrics to maintain traceability and reproducibility; prepare clear QA reports highlighting deviations, failures and potential issues. • Use AI agents in your daily work to accelerate test design, execution, evidence collection and reporting, and help grow the team's test automation. Requirements What We're Looking For: • Minimum 3 years of application testing across UI/UX, database-backed data and multi-step workflows in web-based systems, including test design from detailed requirements (STP/STD/STR). • Networking knowledge at CCNP level or higher: L2/L3 switching and routing, BGP, VLAN/VXLAN/EVPN, MTU/MSS, ECMP, and troubleshooting with packet captures and device CLI. • AI networking: data-center fabrics for AI workloads – leaf-spine and rail-optimized Clos designs, RoCEv2/RDMA, lossless Ethernet (PFC/ECN/DCQCN), 400/800G/1.6T optics and link health. • GPU clusters: running, monitoring and optimizing AI workloads and benchmarks (NCCL/RCCL, RDMA, MPI, training and inference) on NVIDIA/AMD GPU servers, with schedulers such as SLURM or Kubernetes. • Strong hands-on experience in Linux environments (CLI, networking stack, services, logs, scripting). • Hands-on experience working with AI agents in daily engineering work: agent skills, rules/instruction (markdown) files, MCP servers and tools, and prompt-driven workflows (e.g., Claude Code, Codex, Cursor). • Agile Experience: hands-on experience in Agile work processes. Advantages: • QA automation experience (Python, pytest, Playwright/Selenium, REST API testing, CI pipelines). • Kubernetes and containers (kubectl, Helm, Lens/OpenLens, Argo CD; monitoring pod status, reading logs, troubleshooting). • Cloud deployments (AWS/Azure/GCP, e.g., EKS). • Databases: SQL querying and data validation (PostgreSQL). • Familiarity with network operating systems (DNOS, SONiC, Arista EOS, Junos), observability stacks (Prometheus/Mimir, Grafana/Perses, gNMI) and traffic generators (Spirent/Ixia). Soft Skills: • Excellent interpersonal and communication skills. • High-level proficiency in English (both written and verbal) and clear technical writing. • Self-starter who learns quickly and adapts easily to new technologies. • Ability to work under tight deadlines and manage multiple priorities. • A strong team player with a collaborative mindset. Why Join Us? • Be part of the team building DriveNets' AI Cluster Orchestrator, used to deploy and run some of the most demanding AI infrastructures. • Work hands-on with state-of-the-art AI infrastructure: 800G/1.6T Ethernet fabrics, NVIDIA and AMD GPU clusters, RoCE and collective communication. • Join an AI-native engineering culture where agents are part of the daily workflow. • Collaborate with brilliant minds in a dynamic and supportive work environment. If you're ready to take the next step in your career and work with a world-class team, apply now!

NVIDIA is looking for a Software QA Engineer with a strong background in Networking and Automation to join our InfiniBand (IB) and NVLINK (NVL) Switch QA team. Our team is responsible for qualifying software stack for NVIDIA’s IB Switch, Router, Gateway and NVLINK systems, delivering world-class networking solutions. You will work at the heart of cutting-edge technology, validating software management features, designing topologies, developing automated test suites, and collaborating with engineering and product teams to ensure delivery of robust and scalable systems. What you’ll be doing: • Design, develop, and execute manual and automated tests as part of software stack releases. • Define, build, and manage testbed topologies for functional, regression, and performance validation. • Analyze architectural designs and feature requirements for new networking capabilities. • Debug failures, identify root causes, and verify fixes delivered by development teams. • Schedule test runs, track testing progress, and generate test status reports with detailed defect documentation. • Write and maintain automation tests across multiple frameworks (Python, Perl), enhancing test efficiency and scalability. • Collaborate with cross-functional global teams including R&D, product marketing, and system verification. What we need to see: • B.Sc. in Computer Science, Information Systems, Electrical Engineering, or related technical field. • 1-3 years of hands-on experience in the field of QA testing • Strong understanding of software testing methodologies, test planning, and bug lifecycle. • Hands-on experience in automation scripting (Python, Perl, or Shell) on Unix/Linux platforms. • Familiarity with networking concepts, protocols, and devices (e.g., switches, NICs). • Strong analytical and debugging skills with an eye for detail. • Clear verbal, proficient written and spoken English Ways to stand out from the crowd: • Experience in Python automation and working with source control tools (Git, Gerrit), Solid knowledge of Linux and kernel internals. • Hands-on experience with virtualized and mixed computing environments (KVM, VMware, Linux/Windows). • Experience using Generative AI platforms / LLMs such as Gemini, Claude, Copilot, etc. to develop tools powered by artificial intelligence. • In-depth understanding of TCP/IP, routing protocols, LAN switching, and data center topologies. • Exposure to QA methodologies, release management, and end-to-end test lifecycle. Familiarity with NVIDIA technologies such as Infiniband, NVLINK, GPUs is a strong advantage.

What if your Python automation caught a critical ASIC bug before the physical silicon was even manufactured? At NVIDIA, our simulation platforms make that happen every release cycle! We are the System Ethernet QA Team at NVIDIA's R&D center, responsible for the testing and qualification of virtual networking silicon (SimX) and software—from L2 forwarding and L3 routing to overlays, QoS, and security. With SimX, developers and QA engineers get hardware-free, early access to the ASIC for better debugging. We are looking for a Senior QA Software Engineer who combines network protocol expertise with strong Python automation skills. Does debugging a BGP EVPN route leak excite you as much as refactoring a test framework? Then we should talk! What you'll be doing: We don't just complete checklists; we collaborate closely with R&D to lead the quality of new features from design to deployment. In this role, we: • Review architectural designs and requirements for new features introduced to the product • Drive the design, development, and execution of tests across functional, performance, and security scopes as part of SW GA and update releases • Develop Python automation suites built on clean OOP principles • Chase down defects and validate fixes until we fully resolve the root cause • Leverage the SimX platform to validate code and debug the ASIC long before hardware arrives What We Need to See: • Combined network engineering depth with thorough software habits • 5+ years of hands-on QA or networking experience, backed by CCNP-equivalent protocol knowledge: L2 (VLAN, STP), L3 (BGP, OSPF), EVPN, VXLAN, and advanced features like PFC, ECN, RoCE, and QoS • Production-quality Python engineering—specifically, strong OOP design and hands-on experience with Pytest • Deep Linux proficiency (at an LPIC-1 or LPIC-2 level) to navigate system internals, analyze logs, and debug effectively • Clear verbal and written communication, with professional proficiency in written and spoken English • B.Sc. or or B.A. or equivalent experience in Computer Science, Electrical Engineering, or a similar background Ways to stand out from the crowd: • Experience with Docker and traffic generation tools (Ixia, TRex, Scapy) • Hands-on experience integrating tests into CI/CD pipelines (Jenkins, GitLab CI) • Working knowledge of virtualization platforms (KVM, VMware)

We are looking for a skilled Software Developer with strong hardware knowledge to join our diverse team passionate about developing low-level software and test infrastructure for NVIDIA's networking and Interconnect products. As a technical focal point, you will work at the intersection of hardware and software, taking ownership of driver development, hardware bring-up, and test system architecture. You will be instrumental in driving innovation by developing low-level software that directly controls hardware, debugging sophisticated hardware-software interactions, and creating robust testing solutions. If you're passionate about code development, automation, innovation, reading schematics, debugging hardware with software tools, and becoming a key technical contributor, we'd love to have you on board! What You'll Be Doing: • Collaborate with multi-functional teams including hardware, electrical, thermal, and mechanical engineers to understand hardware specifications and develop corresponding test requirements. • Take the lead in debugging hardware-software integration issues using instruments, and software tools to pinpoint root causes. • Develop low-level drivers in C/C++ for hardware components and build DLL wrappers for integration with higher-level C# applications. • Review and interpret hardware schematics and datasheets to understand signal flows, timing requirements, and implement appropriate software control mechanisms. • Lead all aspects of hardware bring-up, validation, and deployment of test solutions to production environments, ensuring accurate integration. What We Need to See: • Bachelor's or master's degree in electrical engineering, Computer Engineering, or Software Engineering with significant hardware/electronics coursework or hands-on experience. • 5+ years of hands-on experience in hardware-software integration, low-level driver development, or firmware development with proven ability to lead technical projects. • Strong proficiency in one or more programming languages such as Python, Java, C#, with additional experience in C/C++ for low-level programming. • Demonstrated ability to read and interpret electrical schematics, block diagrams, and hardware datasheets. • Experience with hardware debugging tools such as oscilloscopes, logic analyzers, JTAG debuggers, or similar instruments. • Excellent problem-solving skills in developing software solutions for sophisticated hardware-software interactions. Ability to collaborate with hardware teams, demonstrating deep technical ownership of hardware-software integration projects. Ways To Stand Out from the Crowd: • Hands-on experience with PCIe, I2C, SPI, UART, or other hardware communication protocols. Experience developing device drivers for Windows or Linux environments. • Background in embedded systems, microcontrollers, DSPs, FPGAs, or custom ASIC integration. Experience wrapping native C/C++ libraries into managed DLLs for .NET/C# applications. • Knowledge of hardware validation methodologies and experience with automated hardware test equipment. Previous work in networking hardware, high-speed interconnects, or semiconductor validation environments. • Strong ability to bridge communication between hardware and software teams, translating hardware requirements into software solutions. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Come build the future with us! Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family

We are seeking an experienced QA Specialist to join our ITPE (Interconnect Product Engineering) Test/Software Development team. This position will be part of our growing team, which develops testing frameworks, core test infrastructure, and engineering tools for optical transceivers and next-generation interconnect products at NVIDIA. We develop a collaborative and inclusive work environment, where ideas are shared and innovation is encouraged. As a Senior QA Specialist in this group, you will own the quality of the frameworks, core libraries, and tools our developers build, ensuring they are stable, reliable, and production ready. The ideal candidate should bring a robust understanding of the SW development lifecycle and the QA role within it. What you’ll be doing: • Define and own QA strategy, test plans, and quality standards for testing platforms, essential libraries, and utilities. • Build and maintain automated test pipelines; integrate quality gates into CI/CD workflows. • Maintain regression suites that catch breakages as frameworks evolve. • Develop test fixtures, mocks, and simulators for testing code in isolation. • Track quality metrics and generate summary reports of testing activities. • Collaborate with teams across ITPE including NPI, MP, data intelligence, and R&D. What we need to see: • B.Sc. in Computer Science, Software Engineering, or a related field, with equivalent experience also considered. • At least 8 years of proven experience in software QA/SDET roles. • Strong C# programming skills. • Deep experience with test automation frameworks (unit test, mock, etc.). • Hands-on experience with CI/CD pipelines and automated quality gates. • Familiarity with QA methodologies, test design, bug prioritization, and SW release workflows. • Clear verbal and written communication in English. Ways to stand out from the crowd: • Experience in networking or semiconductor domain. • Experience testing data pipelines, CLI tools, or web-based dashboards. • Background in TDD/BDD methodologies. • Knowledge of Linux/Windows OS. At NVIDIA, we are dedicated to pushing technological boundaries and providing exceptional customer experiences. If you are ready to join a world-class team, we want to hear from you. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Description At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. As a Software Engineer in Test at INFINIDAT, you need to be innovative and passionate about quality. You will continuously design creative ways to break software and identify potential bugs. In this role, you will be responsible for driving test development and infrastructure of an enterprise-grade, distributed storage system and build automated test suites. Responsibilities • Develop complex test scenarios and tools using our massive infrastructure in Python • Build and design infrastructures, tools and utilities • Take an active role in product architecture and design decisions • Participate in all stages of the development process - from design to delivery • Design test plans for large and complex features in the product • Investigate and solve hard-to-find problems such as race conditions, delicate timing issues and problems happening only at large scales or high performance • Sign-off on official product releases: you'll have the authority to say "not good enough!" Requirements • At least 7 years of experience in developing automated tests / automation tools of integrated SW/HW products • Proven experience with Python or similar programming languages • Proven experience with complex large-scale systems • Excellent system diagnostic, troubleshooting and problem solving skills • Excellent communication skills and team spirit • Fast learner and independent • Engineering degree or equivalent Preferred Qualifications: • Experience with high-end IT systems and enterprise storage (SAN/NAS/Object) in particular • Experience in Linux environment • Networking and operating system internals knowledge • Storage architecture and theory knowledge About Infinidat Infinidat’s enterprise storage portfolio provides global Fortune 500 enterprises and service providers with best-in-class solutions for primary storage, next-generation data protection, disaster recovery, business continuity, and cyber resilience. Infinidat’s acclaimed InfuzeOS is the one of the most flexible and complete enterprise software-defined storage architectures in the industry. We recently announced powerful enhancements, an extensive expansion, and the dynamic evolution of our award-winning G4 enterprise cyber and AI storage solutions! Not only has Infinidat won 22 awards in the first half of 2025, but has also been a 7-time winner of the Gartner® Peer Insights™ Voice of the Customer Award for Primary Storage and we can go on, and on, and on!

We Are Teva We’re Teva, a leading innovative biopharmaceutical company, enabled by a world-class generics business. Whether it’s innovating in the fields of neuroscience and immunology or delivering high-quality medicine worldwide, we’re dedicated to addressing patients’ needs now and in the future. Here, you will be part of a high-performing, inclusive culture that values fresh thinking and collaboration. You'll have the room to grow, the flexibility to balance life with work, and the opportunity to better health worldwide, together. Our Team, Your Impact This section is where we attract the attention of potential candidates and sell the role. How has the role come about? What makes it appealing? What are the key responsibilities? How is the role better with Teva than with another company? Wherever possible, we should bring through the essence of our EVP pillars, i.e., we care, we’re in it together, and we make work fulfilling. How You’ll Spend Your Day Your Skills and Experience Also Good to Have Salary Range How We’ll Take Care of You At Teva, better health starts from within, and that includes you. From day one, you’ll be supported with benefits designed to help you thrive in and out of work. This includes generous annual leave, reward plans, flexible working schedules (dependent on role), access to tailored health support, and meaningful ways to give back to the community.  When it comes to your career, you’ll be encouraged to explore, evolve, and shape your path. Twist, our one-stop shop for career development platform, gives you access to a wide range of possibilities, from learning programs and short-term projects to opportunities for internal growth. Here, you’ll be part of a culture that empowers you to reach your goals and prioritize your wellbeing every step of the way.  Already Working @Teva? Make sure to apply through our internal career site on Twist—your one-stop shop for career development Teva’s Equal Employment Opportunity Commitment Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life CathWorks, recently acquired by Medtronic, is a leader in digital health innovation. The CathWorks FFRangio® System combines artificial intelligence (AI) and computational science to derive physiologic information from routine angiograms (X-rays), eliminating the need for drug stimulation and invasive pressure wires. We are looking for a Software QA Automation Engineer to contribute across Scrum teams and help ensure software quality, reliability, and safety throughout the development lifecycle. This is an on-site, full-time position based in Kefar Sava, Israel, reporting directly to the Software QA Team Leader. The engineer will own both manual and automated testing, work closely with software development teams, contribute to Continuous Integration and Continuous Delivery (CI/CD), and help embed quality from day one. Responsibilities may include the following and other duties may be assigned: • Develop, implement, and maintain automated test solutions within CI/CD pipelines for end-to-end functional and regression scenarios • Own manual and automated test execution and reporting within assigned Scrum teams, including functional, regression, and exploratory testing as part of sprint delivery • Analyze test results and failure trends to provide actionable insights and communicate findings clearly to developers and stakeholders • Participate in sprint ceremonies and collaborate with developers to improve software testability throughout the development lifecycle • Contribute to automation standards and testing best practices across Scrum teams • Share automation capabilities and knowledge to align testing approaches across teams Required Knowledge and Experience: • A Bachelor of Science degree in Computer Science or a related field. • At least 4 years of hands-on experience combining test automation and manual software testing • Practical programming experience in Java or C# • Strong understanding of Object-Oriented Programming (OOP) principles • Experience working in Agile and Scrum environments • Solid working experience with core automation technologies, including TestNG, Appium, Git, CI/CD pipelines, and Azure DevOps • Ability to perform functional, regression, and exploratory testing and communicate test findings clearly. Experience working with medical software, digital health solutions, or Software as a Medical Device (SaMD) products will be considered an advantage. Physical Job Requirements The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.  ‌ ‌ Recruitment Fraud Alert We are aware of phishing scams targeting job seekers. Please keep the following in mind: Apply only through official Medtronic channels. All legitimate Medtronic recruiting communications come from approved Medtronic platforms and official @medtronic.com email addresses. Medtronic will never ask for payment or sensitive personal information (such as bank account or Social Security details) during early stages of the hiring process. Any such requests are not legitimate. If you receive a suspicious message claiming to be from Medtronic, do not respond, click links, or open attachments. If you have any questions, concerns regarding the authenticity of a communication alleged to have been made by or on behalf of Medtronic, please contact us immediately at [email protected]. Benefits & Compensation Medtronic offers a competitive Salary and flexible Benefits Package A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage. This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? We are looking for a visionary engineering leader to architect and lead our quality engineering discipline into the AI era. You will own automation infrastructure, performance engineering, and all AI-driven quality initiatives - building and mentoring high-performing teams of engineers and architects who set the standard for how modern software is validated at scale. This is not a maintenance role. You will disrupt legacy testing paradigms, champion agentic test generation, and embed AI-quality thinking into every stage of the SDLC — from the first commit to production monitoring. You will be the organizational bridge between engineering velocity and product reliability. How will you make an impact? AI Quality Strategy • Define and lead all AI-augmented quality initiatives across the organization • Deploy LLM-powered test generation, triage, and root-cause analysis tooling • Build frameworks for validating AI/ML model outputs and non-deterministic behaviors • Evaluate and integrate emerging AI quality toolchains (GitHub Copilot, Claude, agents) • Champion responsible AI testing practices, coverage standards, and governance models Automation Engineering • Own the full automation strategy across UI, API, and integration layers • Architect scalable, maintainable test frameworks • Drive shift-left testing embedded in CI/CD pipelines (Jenkins, GitHub Actions) • Establish coverage KPIs, flakiness SLAs, and automation ROI metrics • Lead adoption of self-healing and AI-assisted test maintenance Performance Engineering • Lead performance and load testing strategy at enterprise scale • Define SLOs/SLAs and partner with SRE on reliability thresholds • Design continuous performance validation integrated into delivery pipelines • Drive root-cause analysis for regressions, bottlenecks, and latency spikes • Oversee toolchain including k6, JMeter, Gatling, and APM integrations People & Org Leadership • Lead and grow teams of automation engineers, performance engineers, and architects • Set technical direction, OKRs, and career ladders for the quality engineering org • Hire senior ICs and architect-level talent; build succession depth • Foster a culture of ownership, engineering craft, and continuous learning • Partner cross-functionally with Product, DevOps, and R&D leadership Have you got what it takes? • 12+ years in software engineering or QA, with 5+ years in engineering leadership at the Director level or senior Staff+ with direct reports • Deep hands-on background in test automation architecture — you've built frameworks from scratch, not just inherited them • Proven track record leading performance engineering at scale (10,000+ concurrent users, distributed systems, cloud-native environments) • Experience shipping or operating AI/ML systems and understanding the unique quality challenges they introduce • Prior success managing multi-team orgs with both IC engineers and architects (10–40+ total headcount) • Enterprise software domain experience strongly preferred (SaaS, CCaaS, fintech, or similar high-uptime/regulated environments) AI & Technical Acumen • Working knowledge of LLM capabilities and limitations relevant to software testing (prompt engineering, RAG, agentic workflows) • Experience evaluating or integrating AI coding assistants (GitHub Copilot, Claude, Cursor, or equivalents) in engineering workflows • Comfort with statistical testing concepts: model drift detection, data validation, behavioral testing for non-deterministic outputs • Proficient in at least one scripting/programming language (Python, TypeScript, Java) and modern CI/CD tooling • Familiarity with observability and APM tools (Datadog, Grafana, Dynatrace, New Relic) Leadership • Exceptional communicator — able to translate deep technical concepts into executive-level strategy and roadmaps • Strong organizational influencer who shapes culture and engineering standards beyond your direct org • Data-driven decision maker: you measure quality outcomes, not just activity • Bias for hiring and developing senior talent; you build teams that outlast you • Comfortable operating in ambiguity and driving clarity in fast-moving environments What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 10834 Reporting into: Senior Director, Engineering, CX Role Type: People Manager #LI-Hybrid About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary Your Career: We are seeking a Senior Staff Software Automation Engineer (SDET) to join our Identity Authentication engineering team and drive the modernization of mission-critical authentication domains. In this role, you will define automation strategy, build scalable test infrastructure, and empower teams to deliver secure, high-quality SaaS services. Combining deep software engineering expertise with quality engineering leadership, you will own the automation architecture and influence best practices. Your work will significantly improve testability, reliability, and delivery velocity across our Identity and Access Management (IAM) platform. Your Impact • Define and execute the automation strategy for mission-critical Identity services and domains. • Design and maintain scalable automation frameworks for API, UI, integration, and end-to-end testing. • Own quality engineering infrastructure, providing development teams with optimized tools and frameworks. • Drive engineering excellence by improving test coverage, CI/CD integration, and quality gates. • Lead complex debugging and root-cause analysis across distributed, cloud-native environments. • Partner cross-functionally with Engineering, Product, and Security to enhance product quality and delivery. • Mentor engineers to foster a culture of automation, technical ownership, and continuous improvement. • Implement AI-driven approaches to optimize testing efficiency and overall engineering productivity. Qualifications Qualifications • 8+ years of experience in software engineering, SDET, or quality engineering roles. • Proven experience designing and building automation frameworks and infrastructure at scale. • Strong programming skills in Python, TypeScript/JavaScript, Java, C#, or similar languages. • Experience with cloud-native technologies such as Kubernetes, Docker, and distributed systems. • Experience with CI/CD pipelines and modern software development practices. • Strong understanding of software testing methodologies, automation architecture, and quality engineering principles. • Excellent technical communication, collaboration, and mentoring skills. Your Experience • Experience with AWS and cloud-native SaaS platforms. • Experience with Infrastructure-as-Code (AWS CDK, Terraform). • Experience with UI automation frameworks such as Playwright. • Experience with performance, scalability, and resilience testing. • Knowledge of Identity and Access Management concepts (SSO, OAuth2/OIDC, SAML, RBAC/ABAC). • Experience working in cybersecurity or enterprise SaaS environments. • Experience building end-to-end features using models from AI providers like OpenAI or Anthropic. Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at [email protected]. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

Description At CodeValue, we are looking for a System QA Engineer to join our team and work on complex, multidisciplinary systems. This role involves end-to-end system testing, including requirement analysis, test design, execution in lab environments, and validation of integrated systems. You will work closely with cross-functional teams and take part in system integrations and testing activities both in-house and occasionally at customer sites. Responsibilities: • Design and execute system-level tests for complex, multidisciplinary systems • Analyze system requirements and write detailed test specifications • Conduct test reviews and ensure coverage and quality • Execute tests in system labs and integrated environments • Analyze test results, report defects, and verify fixes • Participate in system integration activities and validation processes • Collaborate with development, product, and QA teams • Work with test management and defect tracking tools Requirements • Bachelor’s degree in Software Engineering / Computer Engineering • 3-4 Years Hands-on experience in system testing of complex systems • Strong understanding of system architecture and multidisciplinary environments • Experience in requirement analysis and test design • Experience writing formal test documentation • Experience with test and defect management tools (e.g., TFS, Jira) • Knowledge of communication protocols (e.g., TCP/IP, REST API, WebSocket, SNMP) • Familiarity with network monitoring and performance testing tools • Understanding of software testing methodologies and SDLC • Good English (reading and writing) • Strong analytical thinking and problem-solving skills • Ability to work independently and collaborate with multiple stakeholders

Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology. What We Offer Location: Rehovot,ISR You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits. Role Summary The Software Validation Engineer (QA Engineer) is responsible for ensuring high-quality delivery of complex software systems through feature testing, system and subsystem integration, regression testing, and analysis. The role works closely with development, integration, and field teams throughout the product lifecycle. Key Responsibilities • Partner with software development during design and implementation to provide risk assessment and ensure compliance with specifications. • Design, document, and execute test plans, test procedures, and qualification activities for features, and full systems. • Perform feature validation, regression testing, and system-level testing; analyze results and recommend corrective actions. • Lead and execute on‑tool and off‑tool system testing. • Investigate and drive resolution of regressions testing, using logs, traces, and system data. • Be a focal point for field issues and integration matters within the domain. • Provide ongoing quality and integration feedback to R&D; contribute to calibration, maintenance, and test utilities when required. Qualifications & Skills • B.Sc. in Computer Science, Software/Electrical Engineering, or equivalent practical experience. • 3+ years of experience in software validation, QA, or system testing of complex products. • Strong experience with feature testing, system integration, regression testing, and defect analysis. • Hands-on experience working in Windows environment (Hands-on with Linux – advantage). • Scripting or automation experience (Python preferred). • Ability to analyze logs, reproduce issues, and work closely with development teams to resolve defects. • Familiarity with test documentation, test management tools, and version control (e.g., Jira, Git). • Strong analytical skills, attention to detail, and clear technical communication. Soft Skills & Competencies • Solves complex problems using structured analysis and technical judgment. • Works independently with limited supervision and within broad guidelines. • Acts as a technical resource for peers and supports cross‑functional collaboration. • Clearly communicates technical issues and test results to diverse stakeholders. Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Relocation Eligible: No Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

Job Description We are looking for a passionate and skilled QA Engineer to join our Scalable Platforms Core. If you have a deep interest in Networking and Security and thrive on tackling high-end networking challenges with a proactive mindset, we invite you to be part of our innovative and collaborative team. Major Responsibilities • High-end products testing • Lead a testing cycles end to end • Understand complex customer environments • Get experience with QA testing, and have a great opportunity to grow and create impact. • Adapt and take on more responsibilities and own your share of the product • Engage in Automation procedures Qualifications • 2 years of experience in the networking field • TCP/IP, Networking, Bridging, Routing knowledge • Familiar with network equipment - Switches, Routers, Firewalls • A problem solver, capable of finding creative solutions and getting things done. It would be great if you also have: • CCSA / CCSE certification • CCNA/CCNP certification • Automation Experience (bash, python, robot framework, java) • Team player spirit! • Believe in learning new things every day.

Our Purpose At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here. About Us SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters. Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity. What Are We Looking For? We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes. As a Senior QA Automation Engineer - GenAI Endpoint Security, you will be tasked with building and maintain robust automated test suites in Python and Node.js while performing strategic manual QA for the Sensors team. You will ensure the bulletproof quality of endpoint agents and browser extensions designed to secure the industry’s leading Generative AI tools. By validating seamless compatibility and testing software distribution across various MDMs, you will provide comprehensive coverage for the critical components protecting the modern AI-driven enterprise. What will you Do? Primary responsibilities include: • Build and maintain automated tests across APIs, endpoint agents, and browser extensions • Validate Generative AI application compatibility with our security products • Perform manual QA with a clear, automation-first mindset • Test our software distribution across MDMs • Ensure strong coverage of critical components and close testing gaps • Work closely with development to continuously improve product quality and delivery What Skills and Knowledge Will You Bring? Ideal candidates will have: • Proven experience as a Senior QA Automation Engineer • Strong coding skills- Node.js/Python is our primary stack • Hands-on experience testing networking products with a balance of manual and automatic testings • Strong debugging skills and ability to triage complex issues • Experience building CI pipelines (e.g. GitHub Actions) • Self-driven, proactive, and curious with strong ownership and accountability • Experience testing Generative AI systems or agents • An AI engineering first approach • Background in OS internals (MAC, WIN), system administration • Experience testing endpoint agents and/or browser extensions Why us? AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place. We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family: Equity & Rewards • Restricted Stock Units (RSUs) • Employee Stock Purchase Plan (ESPP) Time Off & Wellbeing • Competitive leave benefits • Gender-neutral parental leave • Employee Assistant Program • Workout sessions and a Wellness App Insurance & Financial Security • Medical and insurance benefits • Pension • Employee Assistance Program (EAP) Work Perks & Flexibility • Global home office allowance • Mobile phone reimbursement • Study Fund SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. SentinelOne participates in the E-Verify Program for all U.S. based roles. To learn more about how we use AI in our hiring process, please review our AI in Hiring Candidate Disclosure.