Director Engineering - Automation, Performance and AI Quality

Nice-0a1ef543; Sandy (UT); Vor Ort; USD 180.000 - 260.000; Vollzeit

Zusammenfassung

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

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Test automation architecture

Performance engineering

AI/ML systems

Executive communication

Leadership at director level

Multi-team leadership

CI/CD tooling

Tools

k6

JMeter

Gatling

APM tools

Jobbeschreibung

Director Engineering - Automation, Performance and AI Quality

USA - Sandy, UT

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.

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
• 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&Dleadership

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

About NiCE

NICELtd. (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 crimeand ensure public safety.Every day, NiCE software managesmore than120 million customer interactions and monitors3+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.