Director, AI Quality & Automation Performance

Nice-0a1ef543; Sandy (UT); In loco; USD 180.000 - 260.000; Tempo pieno

Descrizione del lavoro

NiCE is seeking a visionary Director of Engineering to architect and lead the quality engineering discipline into the AI era in Sandy, UT. You will own automation infrastructure, performance engineering, and AI-driven quality initiatives, building and mentoring high-performing teams that set the standard for how software is validated at scale.

You will disrupt legacy testing paradigms, champion agentic test generation, and embed AI-quality thinking across the SDLC, bridging engineering velocity

Competenze

• 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.
• 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 quality challenges they introduce.

Mansioni

• Define AI Quality Strategy and lead AI-augmented quality initiatives across the org.
• Own automation strategy across UI, API, and integration layers; architect scalable frameworks.
• Lead performance testing strategy at enterprise scale; define SLOs/SLAs with SRE partner.
• Hire, grow, and mentor teams of engineers and architects; foster ownership and learning.

Conoscenze

Test automation architecture

Performance engineering

AI/ML systems

Executive communication

Leadership at director level

Multi-team leadership

CI/CD tooling

Strumenti

k6

JMeter

Gatling

APM tools

Descrizione del lavoro

NiCE is seeking a visionary Director of Engineering to architect and lead the quality engineering discipline into the AI era in Sandy, UT. You will own automation infrastructure, performance engineering, and AI-driven quality initiatives, building and mentoring high-performing teams that set the standard for how software is validated at scale.

You will disrupt legacy testing paradigms, champion agentic test generation, and embed AI-quality thinking across the SDLC, bridging engineering velocity