QA Manager jobs in Ra'anana

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.

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.