QA Manager jobs in Israel

Description Join the future of mobility. Help build the platform that's changing how cities move. NoTraffic is the world’s leading mobility platform, transforming intersections into connected infrastructure that improves flow, boosts safety, and prepares cities for the autonomous era. We're looking for a Head of QA to own software quality across NoTraffic. Our platform runs live traffic signals at thousands of intersections, spanning edge devices in the field, cloud services, and web applications, so a bug that reaches the field can affect public safety and the trust our customers place in us. You'll lead the QA team and own QA strategy, people, and releases. We're moving R&D to an agent-driven development model, and you'll decide how we test software that humans and AI agents write together. Your day to day will look like: • Own software quality end to end. You're accountable for the quality of everything R&D ships, from the edge fleet to the cloud platform and applications. Set the QA strategy across test coverage, environments, and quality gates, and own the QA roadmap. You'll measure success in fewer escaped bugs and faster, safer releases. • Lead and grow the team. Run 1:1s, performance reviews, and career growth for the QA team. Build a team that automates by default and that developers trust. • Hire. Shape the team's profile and hire for it, as more of the testing shifts to developers and agents and QA's role moves toward strategy, infrastructure, and verification. • Run release quality and timelines. Own release management from QA's side: plan QA timelines, track readiness, and drive go/no-go decisions against clear quality gates. Coordinate with Product, DevOps, and Operations so releases land on time and land safely in the field. • Make quality visible. Define and report quality metrics such as coverage, escaped defects, and release health, and track how they change over time. Represent QA in management forums and give leadership an honest read on where quality stands. • Put AI to work. Use AI and agentic tools in your own work, and lead their adoption across QA: agents that generate and maintain tests, automate triage, and expand coverage well past what the team could do by hand. Help define how quality is verified when agents write a growing share of our code. Requirements • 8+ years in software QA, including 3+ managing QA teams • Experience managing senior individual contributors • A track record of managing large automated test suites • Enough technical depth to challenge a test strategy, review an automation framework, and judge coverage gaps • Experience owning release quality and QA timelines in a CI/CD environment • Experience testing products that combine hardware and software, or edge devices and cloud • Hands-on with AI and agentic tools, with a record of building them into real workflows • Strong communication skills, and comfort presenting data-driven quality reports to management Nice to have: • Experience in safety-critical or critical-infrastructure products • Experience with hardware-in-the-loop testing, simulation, or physical lab environments • Background in transportation, ITS, or public-sector products • Experience building a QA function at a growing startup

Own end-to-end quality across Sidelines products, including web and mobile applications, backend services, embedded partner integrations, tracking systems and data flows. Define and continuously improve the QA strategy, including regression coverage, release gates, risk assessment and production validation. Architect, develop and maintain scalable test automation across UI, API and end-to-end system workflows. Establish quality processes that identify defects and requirement gaps early in the development lifecycle. Collaborate closely with Engineering, Product and DevOps to improve testability, CI/CD integration, deployment reliability and release readiness. Analyze product requirements, challenge assumptions and proactively identify edge cases, dependencies and technical risks. Lead, mentor and develop QA engineers while remaining deeply involved in hands-on automation and technical problem-solving. Drive continuous improvements in automation effectiveness, test stability, defect prevention and overall delivery quality. Take ownership of quality-related technical decisions, tooling and release recommendations. Requirements 6+ years of QA experience across complex, production-grade systems, including frontend, backend, APIs and third-party integrations. 4+ years of hands-on test automation experience, including designing, building and maintaining automation frameworks. 2+ years of experience leading QA engineers, with end-to-end ownership of quality and release readiness. Strong programming skills in JavaScript/TypeScript or a comparable language, with experience in modern automation tools. Playwright is a significant advantage. Solid understanding of API testing, databases, CI/CD pipelines, debugging and distributed system interactions. Proven ability to design risk-based testing strategies, prioritize automation coverage and improve release confidence. Strong analytical thinking, technical independence, ownership and cross-functional communication skills. Ability to balance technical execution (approximately 70%) with team leadership and strategic quality initiatives.

Elspec Engineering Ltd. is a leading company in the development, manufacturing, and marketing of advanced systems for monitoring and improving power quality for industrial and international markets. The company operates two sites: Beit She’an and Caesarea. We are seeking an experienced QA Manager to lead the quality assurance domain and implement advanced standards throughout the product lifecycle, with an emphasis on electronics manufacturing processes. Job description Lead all quality assurance activities across the company Manage the QA and oversee test planning, execution, and control Define and implement quality procedures, processes, and methodologies Establish and maintain a Quality Management System (QMS) Supervise development, manufacturing, and testing processes Analyze quality reports, identify trends, and drive continuous improvement Manage CAPA processes (Corrective and Preventive Actions) Handle quality issues and customer complaints Conduct and lead internal and external audits Work with suppliers to improve material and product quality Collaborate closely with Engineering, Production, and Operations teams Provide regular reports to senior management and the CEO Reporting line: CEO Requirements Bachelor's degree in Electrical Engineering / Electronics / Industrial Engineering or a related field – Must At least 5 years of experience in QA, including managerial experience Experience in an industrial/manufacturing environment Proven experience leading quality processes and implementing QA methodologies Familiarity with quality standards (e.g., ISO) Experience conducting quality audits Background with experience working on electronic boards and components – a significant advantage. Experience in the field of electricity / electronics / energy systems- Advantage Experience working with international suppliers- Advantage High level of English (spoken, written, and reading) Willing to travel to Beit Sean and Caesarea sites. Application form

Every nation has data. Few can protect it. Fewer still can act on it. Dream is the sovereign AI and national cyber-defense company for governments. We help nations secure their most critical systems, connect fragmented information at a national scale, and turn their most sensitive data into decisions, all fully sovereign. This is more than a job. It's a Dream job, where you'll work at a global scale alongside some of the best AI researchers, cyber operators, and government experts in the world. We defend nations against the most advanced threats in the world with a national security suite that offers AI-native resilience against APTs with visibility, insights and mediation across Posture, CTI, and Detection & Response, all fully sovereign. The Dream Job We are looking for a technically strong, hands-on QA Team Lead to lead a team of approximately five QA engineers and drive the quality of our cybersecurity product. In this role, you will combine people management with technical leadership, guiding the team's manual, exploratory, and API testing efforts. You will own QA delivery from initial planning through production release, working closely with development, product, and automation teams to align priorities, resolve dependencies, and deliver high-quality releases. You will also help the team use AI tools effectively in everyday work, improving test coverage, investigation, and efficiency while applying sound technical judgment. The Dream-Maker Responsibilities Lead, mentor, and develop a team of approximately five QA engineers through regular feedback, coaching, and professional development. Own QA planning and delivery across multiple features, balancing team capacity, release timelines, and product risks. Drive testing activities end to end, clarify requirements, define scope, coordinate dependencies, track execution, and ensure completion. Partner with development, product, and automation leads to align expectations, surface risks early, and resolve blockers. Participate in feature kickoff and design discussions, identifying testing needs, environment and dataset requirements, and potential coverage gaps. Define and review test strategies and test plans, ensuring meaningful coverage of functional, exploratory, regression, integration, end-to-end, and API scenarios. Remain hands-on with complex testing and technical investigations, using APIs, logs, and system behavior to isolate failures and support root cause analysis. Lead defect triage and communicate release readiness, outstanding risks, and QA recommendations clearly to stakeholders. Collaborate with automation engineers to prioritize automation coverage and maintain an effective balance between manual and automated testing. Establish practical AI workflows for test planning, edge-case discovery, log analysis, and defect investigation; coach the team to validate outputs and assess their value. Improve QA processes, testing standards, and documentation, using coverage gaps, escaped defects, and testing bottlenecks to guide priorities. Support production issue investigations and ensure lessons learned are reflected in future testing. The Dream Skill Set 5+ years of experience in software quality assurance, including at least 3 years of direct team management. Strong hands-on background in manual and exploratory testing of complex web applications, REST APIs, client-server systems, and distributed applications. Proven ability to lead testing efforts, from planning through release, managing priorities, dependencies, and delivery across multiple stakeholders. Experience mentoring QA engineers, reviewing their work, providing actionable feedback, and developing their technical capabilities. Strong understanding of testing methodologies, risk-based testing, and the software development lifecycle. Strong API testing experience using Postman, Swagger/OpenAPI, or similar tools, with a solid understanding of HTTP/HTTPS and networking concepts. Experience troubleshooting in Linux and Kubernetes environments, including inspecting pods, collecting logs, and investigating system behavior. Familiarity with CI/CD workflows and tools such as Jenkins, along with test management and issue-tracking tools. Practical experience using AI tools in QA workflows, with the ability to critically evaluate outputs and guide effective team adoption. Strong analytical and problem-solving skills, with the ability to turn ambiguous requirements into clear, actionable testing plans. Excellent communication and collaboration skills, with a strong sense of ownership and the ability to drive work across teams. Ability to balance thorough testing with delivery needs in a fast-paced Agile environment. Nice to Have Experience with cybersecurity, networking, or security-related products. Experience with scripting or test automation using Python, TypeScript, Playwright, or similar tools. Experience with SQL or other database querying tools for data validation and troubleshooting. Familiarity with cloud platforms such as AWS or Azure and observability tools such as Grafana, Kibana, or Datadog. Experience testing performance, scalability, and reliability in distributed systems. Never Stop Dreaming... If you think this role doesn't fully match your skills but are eager to grow and break glass ceilings, we'd love to hear from you!

Job Description ... Qualifications ...

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!

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.

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.

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.

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.