Leading the quality engineering discipline into the AI era is the core of this Director-level role. 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 role is not about maintenance; 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.
Responsibilities
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
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
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
Lead and grow teams of automation engineers, performance engineers, and architects
Set technical direction, OKRs, and career ladders for the quality engineering organization
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
Requirements
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 have 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
Millions of jobs, with real people getting hired every day
200,000+
New jobs added daily
7,000,000+
Verified job listings
1,000,000+
Tailored applications submitted
Prior success managing multi-team organizations 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)
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)
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 organization
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
Benefits
Endless internal career opportunities across multiple roles, disciplines, domains, and locations
Important Details
Work format: 2 days working from the office and 3 days of remote work, each week
About the Company
NiCE Ltd. software products are used by over 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 over 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 more than 30 countries.
