Quality Architect

This is a fully remote position, open to applicants in Utah.

📋 Description

• Create architecture, establish standards, and develop tools for AI-enhanced end-to-end test execution and infrastructure.

• Design quality solutions for complex, cross-domain enterprise scenarios and integrations across multiple systems.

• Establish and uphold an enterprise testing roadmap.

• Assess quality tools and platforms that incorporate AI-driven test generation and autonomous execution.

• Set data quality standards for test datasets, ensuring referential integrity, coverage, and representation of edge cases.

• Influence LLM-assisted scenario generation, agentic test runners, and AI-generated execution reports.

• Suggest tools for autonomous test execution, defect categorization, and integrations for observability.

• Develop test data pipelines that support autonomous regression execution.

• Create AI-enhanced quality intelligence for defect analysis, risk identification, and readiness for release.

• Collaborate with enterprise architecture to advocate for testability in system design.

• Ensure data visibility throughout business workflows and verify data integrity during downstream transitions.

• Conduct impact assessments for changes in source schemas and maintain valid test data catalogs and integration scenarios.

• Work alongside platform engineering to design environment architecture, integrate CI/CD, and provision testing infrastructure.

• Establish quality standards, reusable patterns, and enable self-service provisioning capabilities.

• Build and manage centralized test data catalogs.

• Represent the end-to-end testing practice in architecture, platform, security, and release readiness discussions.

• Define and uphold organizational standards for load testing.

⛳️ Requirements

• Over 7 years of experience in software engineering, data engineering, or quality engineering.

• Minimum of 3 years dedicated to quality management or data architecture within enterprise settings.

• Proven experience in designing testing solutions across intricate, multi-system integrations.

• Practical experience with relational databases, APIs, and data provisioning in CI/CD environments.

• Background in designing synthetic test data pipelines when production data is not directly applicable.

• Awareness of security engineering principles, encompassing access controls, audit requirements, and data identification in non-production systems.

• Experience collaborating as a technical peer with architecture, platform engineering, or security teams.

• Understanding of AI and automation tools within quality or data engineering.

• Capability to influence technical direction across teams without direct authority.

• Proficient in conveying technical architecture decisions through actionable documentation and standards.

• Familiarity with Salesforce, Workday, or other enterprise SaaS solutions is desirable.

• Experience with LLM-assisted test generation, agentic test execution, or AI-enhanced quality intelligence tools is a plus.

• Background in microservices, event-driven architecture, or API-layer integration testing is advantageous.

• Experience in an agile, squad-based engineering environment is preferred.

🏝️ Benefits

• 401(k) retirement plan with company matching.

• Comprehensive medical and dental coverage.

• Onsite health centers available.

• Corporate wellness initiatives.

• Complimentary behavioral health appointments.

• Flexible work schedules, including remote work options.

• Recognition programs that offer rewards such as trips, cash bonuses, and paid time off.

• Paid parental leave policy.

• Coverage for fertility treatments.

• Adoption assistance provided.

• Marriage counseling services.

• Free access to LinkedIn Learning courses.

• Volunteer time off available.

• Employee-driven matching grants.

• Tuition reimbursement programs offered.

• Short-term incentives through various bonus plans.