A
Senior Quality Assurance Engineer Lead
Accepting applicationsAcadaca · United States
Full-Time Mid_senior AIaiaterf
Posted
28 May
Category
Test
Experience
Mid_senior
Country
United States
Department
Technology — Ecommerce Solutions
Reports To
Ecommerce Solutions Lead
Direct Reports
None (Individual Contributor)
Status
Open
Classification
Full-time, Exempt, Individual Contributor
The Seat
Own engineering-led quality across all Acadaca ecommerce deliverables—building automated testing infrastructure and CI/CD quality gates that let the team ship fast with confidence.
Accountabilities
Automated Testing Strategy: Design and implement the testing strategy across ECS projects: unit, integration, E2E, visual regression, and performance testing.
CI/CD Quality Gates: Build and maintain quality gates in the deployment pipeline. No code reaches production without passing automated checks.
Preview Deployment Validation: Create validation workflows for preview deployments so clients and PMs can review changes before release.
AI-Assisted QA: Build and operate AI agents for automated testing, regression detection, and bug triage. Replace manual QA workflows with intelligent automation.
Cross-Project Standards: Establish testing standards that work across multiple client codebases and the weekly focus calendar model.
Release Confidence: Own the release process quality. Every deployment should have a clear validation trail and rollback path.
AI Expectations
Build and operate AI agents specifically for QA automation: test generation, visual regression detection, accessibility scanning.
Use AI tools to generate test cases from requirements and user stories.
Automate bug triage and classification using AI-powered analysis.
Continuously evaluate AI testing tools and integrate the best into the pipeline.
Key Performance Indicators
Metric
Target
Automated test coverage
80%+ across active projects
Production bug escape rate
Decreasing trend, measured monthly
Release cycle time
From PR merge to production under 2 hours
AI-automated QA percentage
Increasing share of QA work handled by AI agents
Core Competencies
5+ years in software quality engineering with a strong automation focus.
Deep experience with testing frameworks (Playwright, Cypress, Jest, or equivalent).
CI/CD pipeline design and management (GitHub Actions, or equivalent).
Experience with visual regression testing, accessibility testing, and performance testing tools.
Shopify and ecommerce testing experience preferred.
AI tool proficiency for test generation and automation.
GWC Fit
An engineer who happens to focus on quality—not a manual tester. Gets excited about building systems that catch bugs before humans do. Wants to make QA invisible by embedding it into the pipeline so deeply that shipping with confidence is the default.
Growth Path
Path to Staff QA Engineer, Director of Quality Engineering, or transition into platform/infrastructure engineering.
Show more Show less
Technology — Ecommerce Solutions
Reports To
Ecommerce Solutions Lead
Direct Reports
None (Individual Contributor)
Status
Open
Classification
Full-time, Exempt, Individual Contributor
The Seat
Own engineering-led quality across all Acadaca ecommerce deliverables—building automated testing infrastructure and CI/CD quality gates that let the team ship fast with confidence.
Accountabilities
Automated Testing Strategy: Design and implement the testing strategy across ECS projects: unit, integration, E2E, visual regression, and performance testing.
CI/CD Quality Gates: Build and maintain quality gates in the deployment pipeline. No code reaches production without passing automated checks.
Preview Deployment Validation: Create validation workflows for preview deployments so clients and PMs can review changes before release.
AI-Assisted QA: Build and operate AI agents for automated testing, regression detection, and bug triage. Replace manual QA workflows with intelligent automation.
Cross-Project Standards: Establish testing standards that work across multiple client codebases and the weekly focus calendar model.
Release Confidence: Own the release process quality. Every deployment should have a clear validation trail and rollback path.
AI Expectations
Build and operate AI agents specifically for QA automation: test generation, visual regression detection, accessibility scanning.
Use AI tools to generate test cases from requirements and user stories.
Automate bug triage and classification using AI-powered analysis.
Continuously evaluate AI testing tools and integrate the best into the pipeline.
Key Performance Indicators
Metric
Target
Automated test coverage
80%+ across active projects
Production bug escape rate
Decreasing trend, measured monthly
Release cycle time
From PR merge to production under 2 hours
AI-automated QA percentage
Increasing share of QA work handled by AI agents
Core Competencies
5+ years in software quality engineering with a strong automation focus.
Deep experience with testing frameworks (Playwright, Cypress, Jest, or equivalent).
CI/CD pipeline design and management (GitHub Actions, or equivalent).
Experience with visual regression testing, accessibility testing, and performance testing tools.
Shopify and ecommerce testing experience preferred.
AI tool proficiency for test generation and automation.
GWC Fit
An engineer who happens to focus on quality—not a manual tester. Gets excited about building systems that catch bugs before humans do. Wants to make QA invisible by embedding it into the pipeline so deeply that shipping with confidence is the default.
Growth Path
Path to Staff QA Engineer, Director of Quality Engineering, or transition into platform/infrastructure engineering.
Show more Show less