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Director of Quality Assurance at Walker Digital Table Systems, LLC - QATestingJobs.com
Director of Quality Assurance
Walker Digital Table Systems, LLC • Gurugram, Haryana, India
hybridfull-time
Posted Feb 24, 2026Apply by Mar 26, 2026
Role & seniority
Director of Quality Engineering; senior technology leader responsible for product quality, release confidence, and quality risk across the WDTS platform.
Stack/tools
AI-first QE: agent-driven test generation, governance for AI-generated tests, risk-based quality governance.
Test architecture and automation: end-to-end test strategies across embedded RFID hardware, firmware, real-time back-end systems, data integrity, UI/UX, and integrations.
Define and own the Quality Engineering operating model across all release types; scale with architecture change; shift to risk-based, preventative quality.
Lead AI‑First QE transformation; establish governance for AI tests; champion agentic testing workflows as a core QE capability.
Own release readiness and compliance; partner with Compliance/regulators; ensure quality decisions are risk-based and clearly communicated to executives.
Must-have skills
10+ years in Quality Engineering with 5+ years in senior leadership.
Proven experience in quality for complex, distributed, high‑reliability systems; release management and regression strategy.
Expertise in automation frameworks, CI/CD integration, and architecture‑driven quality risk.
Ability to operate credib
Full Description
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
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
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.
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.
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.
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.
