Director of Quality Assurance

About Walker Digital Table Systems (WDTS) Walker Digital Table Systems (WDTS) is the global leader in smart table gaming technology. Our patented

PJM3.0™ RFID platform , combined with real-time software, analytics, and AI-driven capabilities, transforms live casino table games into secure, data-rich environments. Our products —

Perfect Pay™, Perfect Table™, and Perfect Cage™

— are deployed in high‑volume, regulated casino environments worldwide. These systems operate in mission‑critical conditions where

accuracy, reliability, and release confidence are non‑negotiable .

Role Purpose The Director of Quality Engineering is a

senior technology leader accountable for product quality, release confidence, and quality‑related risk across the WDTS platform . This role exists to address

systemic quality challenges and scale quality through platform evolution and AI‑driven automation , not to manage test execution alone. The Director defines and leads a

modern Quality Engineering operating model

that: scales with architectural change, supports complex release types (major releases, feature sets, patches, hotfixes), and treats quality as a

business and operational risk , not merely a testing activity. A

core mandate of this role

is to transform Quality Engineering into an

AI‑first discipline , where intelligent agents generate the majority of automated test cases, and QE leadership focuses on

risk modeling, test intent, governance, and release decisioning . The Director partners closely with

Architecture, Engineering, Product, DevOps, PMO, and Support

to ensure quality readiness is

designed in, measured consistently, and clearly communicated at release decision points .

Key Responsibilities 1. Quality Strategy, Operating Model & Governance Define and own the

Quality Engineering operating model

across all release types, ensuring it scales with architectural change and platform evolution. Establish a shared, defensible definition of

quality readiness , incorporating change impact, regression risk, defect exposure, environment readiness, and architectural dependencies. Shift quality from reactive testing to a

risk‑based, preventative discipline , treating quality as a business and operational risk. What success looks like: Quality decisions are predictable, risk‑informed, and consistently understood across the organization. 2. AI‑First Quality Engineering Transformation Lead the transformation of QE into an

AI‑first discipline , with agent‑driven test generation producing the majority of new automated coverage. Define where AI is trusted end‑to‑end versus where

human oversight and explicit quality gates

remain required. Establish governance standards for AI‑generated tests, including framework conformity, correctness, coverage, stability, and maintainability. Champion

agentic testing workflows

(planning, generation, execution, healing) as a first‑class QE capability. What success looks like: QE effort shifts from test execution to

test intent, risk analysis, and quality governance , while automation scales sustainably. 3. Test Architecture, DevOps & Continuous Quality Define and oversee

end‑to‑end test strategies

spanning embedded RFID hardware, firmware, real‑time backend systems, data integrity, UI/UX, and cross‑system integrations. Ensure test architecture is

stable, scalable, and agent‑friendly , with automation treated as a platform capability rather than a coverage metric. Embed quality into

CI/CD pipelines , defining release‑readiness standards, quality KPIs, and regression frameworks. Own production quality feedback loops, including observability, post‑release metrics, incident RCA, and continuous improvement. 4. Release Readiness, Compliance & Executive Leadership Act as the

single accountable leader for quality readiness at release time , ensuring decisions are driven by risk and impact rather than test counts. Identify and escalate quality risks early, clearly articulating

business, customer, and operational impact . Partner with Compliance and Regulatory teams to ensure readiness for

gaming lab certifications and regional regulatory requirements , with full traceability from requirements to validation. Lead and develop the Quality Engineering organization as a

strategic partner , representing quality and release risk credibly at senior leadership and executive forums.

What This Role Is Not: Not a manual testing manager role Not a tooling‑only automation lead Not a role measured by test counts alone This role is accountable for: quality outcomes, AI‑first QE transformation, automation as an engineering system, and release confidence.

Ideal Candidate Profile Required Experience 10+ years in Quality Engineering, with 5+ years in senior leadership roles. Proven experience leading quality in

complex, distributed, high‑reliability systems . Strong understanding of: release management and regression strategy automation frameworks and CI/CD integration architecture‑driven quality risk Experience operating credibly with architects, senior engineers, and executives. Strongly Preferred Experience operationalizing

AI‑assisted or agent‑driven test generation

beyond experimentation. Experience defining

governance and evaluation frameworks

for AI outputs. Background in regulated or high‑stakes environments (gaming, fintech, medical, aerospace, defense). Familiarity with embedded systems, real‑time transaction platforms, or hybrid edge environments.

Why This Role Exists WDTS is evolving its platform architecture while supporting complex, regulated deployments worldwide. This role ensures that

quality scales with that change , leveraging AI to improve coverage and speed

without increasing risk , and that release decisions are made with clarity, consistency, and executive confidence.