QA Manager jobs in Israel

Description Founded in 2002, AU10TIX is the global leader in AI driven identity verification and management, protecting the world’s largest brands against advanced fraud. The company’s future-proof product portfolio helps businesses provide frictionless customer onboarding and verification in 4-8 seconds while staying ahead of emerging threats and evolving regulatory requirements. We are looking for a talented and experienced QA Manager to lead our QA team and drive quality excellence across our products and platforms. In this role, you will be responsible for shaping and executing the company's strategy, managing a team of QA professionals, and ensuring the delivery of high-quality, scalable, and reliable solutions. Key Responsibilities • Lead, manage, and develop a team of QA engineers and professionals. • Define and drive QA strategies, methodologies, processes, and best practices. • Ensure high-quality software releases through effective planning, testing, and quality control. • Work closely with the R&D teams, Product, DevOps, and other teams within the organization to ensure quality is embedded throughout the development lifecycle. • Oversee test planning, execution, automation, regression testing, and defect management. • Establish and monitor quality KPIs and continuously improve QA processes and efficiency. • Support the team in resolving complex quality and technical challenges. Requirements • 7+ years of experience in QA / Software Testing, including significant experience in a leadership or management role. • Proven experience managing and developing QA teams. • Strong understanding of software testing methodologies, processes, and best practices. • Experience working closely with Software Development and Product teams in an Agile environment. • Strong understanding of the software development lifecycle. • Experience with test automation and modern QA tools and frameworks. • Strong analytical and problem-solving skills. • Excellent communication and interpersonal skills, with the ability to work effectively with multiple stakeholders.

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. Job Summary: What You'll Do: • Build, lead and mentor the ACO E2E QA team; own the quality of every ACO release from test planning to Go/No-Go sign-off. • Define the E2E test strategy, test plans (STP/STD/STR) and acceptance criteria for ACO features based on requirements and design documents, and present them to R&D and Product. • Lead manual end-to-end testing of 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. • Own and maintain the QA lab environments: AI fabric topologies (leaf-spine, DNOS and multi-vendor switches), GPU servers, NetBox/SLURM/Kubernetes integrations and the ACO deployments themselves (single server, HA cluster, cloud). • 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 AI/HPC benchmarks (RDMA, NCCL/RCCL, MPI, RoCE, training/inference, storage) on GPU and CPU clusters through ACO's benchmarking engine; compare results against established baselines and report deviations. • Validate telemetry collection (gNMI/OpenConfig, syslog, GPU and NIC exporters) for accuracy, consistency and reliability against device state and live traffic. • Drive the defect lifecycle: reproduction with evidence, prioritization, root-cause investigation with developers, fix verification and regression; publish clear quality reports and release-readiness metrics. • Define and execute the automation roadmap, moving the team from manual E2E testing to automated API, UI and device-level test suites integrated into CI. • Make AI agents part of the team's daily work (test design, execution, evidence collection, reporting) and set the practices for AI-assisted QA. • Represent QA in planning, agile ceremonies, customer escalations and field deployments. Requirements What We're Looking For: • 3+ years of experience leading QA engineers (hiring, mentoring, planning, delivery) on top of 5+ years of hands-on QA. • 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. • 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). 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: • Proven leadership: builds a team, sets priorities, makes decisions and owns outcomes. • Excellent interpersonal and communication skills with R&D, Product, Support and customers. • 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? • Build the QA team of a new product – 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! •

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. Responsibilities: • Build, lead and mentor the DNOS-SAI SIT team; own the quality of DNOS-SAI releases on Broadcom Tomahawk (TH5/TH6) platforms. • Learn, investigate and write test plans for AI data-center use cases: leaf-spine and rail-optimized Clos fabrics, lossless Ethernet (PFC/ECN/DCQCN), ECMP, eBGP underlay, EVPN/VXLAN and multi-tenancy. • Simulate and validate the integration between routing, switching and QoS features in complex environments: BGP, EVPN/VXLAN, ECMP, QoS/PFC/ECN, LACP, BFD, LLDP, ACLs, telemetry, ZTP/upgrades, port breakout and 400G/800G/1.6T optics. • Run testing scripts and traffic scenarios in the lab (Spirent/Ixia, RDMA and collective traffic) and analyze counters, drops, latency and congestion at the switch and at the GPU NIC. • Validate GPU clusters and AI workloads end to end: RoCEv2/RDMA performance, NCCL/RCCL benchmarks and training/inference jobs under SLURM or Kubernetes. • Lead defect investigation with R&D (reproduce, isolate ASIC/SAI vs DNOS behavior, verify fixes, run regression) and be an integrated part of network design and bring-up for our AI customers. Requirements • 3+ years leading a QA/SIT team on top of 5+ years of hands-on system/integration testing of networking products. • Deep knowledge and experience in data-center routing and switching: BGP, EVPN/VXLAN, ECMP, VLANs, IP addressing, MTU and L2/L3 troubleshooting. • AI networking: hands-on experience with AI/HPC fabrics – RoCEv2/RDMA, lossless Ethernet (PFC/ECN/DCQCN), rail-optimized Clos designs, 400G/800G/1.6T optics. • GPU clusters and AI workloads: running and monitoring NCCL/RCCL, RDMA and MPI benchmarks and training/inference jobs on NVIDIA/AMD GPU servers (SLURM or Kubernetes). • Knowledge and experience with Linux systems. • Knowledge with services such as LLDP, LACP, BFD, SNMP, TACACS/RADIUS, QoS and gNMI telemetry. • Hands-on use of AI agents in daily engineering work (skills, rules files, MCP tools; e.g., Claude Code, Codex, Cursor). • Able to work in complex environment/tasks; self-learning and issue solving. • Good communication skills, worldwide customer facing, good English. Advantage: • CCNP, CCIE certificate or equivalent knowledge. • Experience with white-box switches and SAI/SONiC-based network operating systems on Broadcom Tomahawk ASICs. • Service-provider technologies such as IS-IS/OSPF, MPLS/Segment Routing, L3VPN, SR-TE and multicast (PIM, MVPN). • Testing tools such as Ixia or Spirent, and RDMA/collective tools (perftest, NCCL/RCCL tests, OSU benchmarks). • Automation scripts in Python, Bash or Java and CI pipelines; Kubernetes, containers and cloud deployments (AWS/Azure/GCP). • QA methodologies (HLD/LLD-based test plans) and tools such as Jira and TestRail.

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. We are seeking a Scale Test Team Leader to lead our newly Scale Testing team, responsible for validating the iBox under maximum real-world scale. combining features, protocols, capacity, and traffic simultaneously to expose issues that only emerge at the limits of the system. This role sits at the intersection of functional testing, performance testing, and customer-representative system design, ensuring the iBox holds up not just to isolated stress, but to the full complexity of production-scale deployments. The role is expected to be approximately 75% hands-on, directly involved in test design, execution, and investigation alongside the team. Responsibilities • Form and Lead a team of scale test engineers, hiring and guiding them through complex, large-scale test design, execution, and root-cause analysis • Design and execute tests that combine multiple features, protocols, and workloads concurrently at maximum scale (pools, volumes, snapshots, replication, etc.) • Build and maintain customer-representative testbeds that mirror real-world production configurations at scale • Drive high-volume, sustained traffic scenarios alongside feature and capacity scaling to surface interaction effects and edge-case failures • Investigate and analyze complex, multi-variable system issues that arise only under combined scale conditions • Participate in technical reviews — requirements, design, test design, and field reports — bringing a scale/system-limits perspective • Set up and maintain long-running, large-footprint hardware and software test environments • Collaborate closely with Performance, System Test, Interoperability, R&D, Product Management, and Support to ensure scale considerations are built into product design early • Define and evolve the team's scale testing methodology, tooling, and metrics Requirements • Proven experience as a Team Lead including hiring and building a team. • 5+ years of experience testing complex systems at scale • Strong Linux knowledge • Experience designing and running large-scale, multi-feature test scenarios (not just single-feature or single-metric testing) • Strong analytical skills — able to isolate root cause across many interacting variables • Ability to translate customer production patterns into representative test setups Preferred Qualifications • Solid understanding of storage architectures (SAN and NAS) and protocols (FC, NFS, S3, SMB, iSCSI) • Bachelor’s degree in computer science 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 did Infinidat win over 40 awards in 2025, but was named a Gartner® Peer Insights™ Voice of the Customer Award for Primary Storage for the 7th time!