Director Engineering - Automation, Performance and AI Quality
NICE · USA - Sandy, UT
About this role
**At NiCE, we don’t limit our challenges. We challenge our limits. Always.** ## Role: Director Engineering – Automation, Performance and AI Quality We’re looking for a visionary engineering leader to architect and lead our quality engineering discipline into the AI era. You’ll own automation infrastructure, performance engineering, and 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’ll disrupt legacy testing paradigms, champion agentic test generation, and embed AI-quality thinking across the SDLC—from the first commit to production monitoring. You’ll be the organizational bridge between engineering velocity and product reliability. --- ## How you’ll make an impact ### AI Quality Strategy - Define and lead 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 (e.g., 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 --- ## What you’ll bring - **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 (built frameworks from scratch) - Proven track record leading performance engineering at scale (10,000+ concurrent users; distributed systems; cloud-native) - Experience shipping or operating AI/ML systems and understanding their unique quality challenges - 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/limitations relevant to software testing (prompt engineering, RAG, agentic workflows) - Experience evaluating/integrating AI coding assistants (GitHub Copilot, Claude, Cursor, or equivalents) - Comfort with statistical testing concepts (model drift detection,
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