QA Lead (Automation)

Veriforce

9h•Hybrid

About The Position

Veriforce is seeking a hands-on QA Lead to advance Quality Engineering for its SaaS platform and service integrations. The role combines technical leadership with practical delivery: designing AI-assisted test strategies, building and reviewing automation, strengthening CI/CD quality controls, and helping teams diagnose failures and prevent defects. Working closely with Engineering, Product, and DevOps, the QA Lead makes quality a shared responsibility throughout the SDLC, improving testability, shortening feedback cycles, and providing clear evidence for release decisions.

Requirements

7+ years of experience in QA, Quality Engineering, or SDET roles, including demonstrated technical leadership.
Strong hands-on experience with Playwright, including building, maintaining, and debugging automation beyond test scripts alone.
Practical use of AI coding assistants and agents, including evaluating generated code and measuring workflow improvements.
Experience with TestRail or an equivalent test-management platform, including traceability and execution reporting.
Experience with performance, accessibility, security, and other non-functional testing.
Experience integrating automated testing into CI/CD pipelines using tools such as Jenkins, GitHub Actions, or GitLab.
Experience assessing release readiness, managing quality risks, and providing evidence-based go/no-go recommendations.
Proven ability to mentor, coach, and develop team members, fostering technical excellence and professional growth.

Nice To Haves

Ability to design and evolve automation frameworks, not just write scripts.
Understanding of code quality, APIs, architecture, CI/CD, and technical trade-offs.
Understanding of how AI can improve test design, execution, and analysis.
Accountability for product quality across the entire SDLC.
Ability to use meaningful quality metrics to drive engineering improvements.
Understanding of multi-tenant SaaS platforms, integrations, role-based access, and configurable workflows.

Responsibilities

Define and own QA strategy, quality standards, testing methodologies, and governance frameworks across projects and products.
Define risk-based testing across UI, API, integration, end-to-end, regression, and production validation; partner with Engineering and Product to clarify acceptance criteria, improve testability, and communicate coverage gaps and release risks.
Develop and drive automation-first practices, scalable automation frameworks, and continuous testing throughout the CI/CD pipeline.
Embed approved AI tools into test design, automation development, code analysis, failure triage, and maintenance, with validation, review, and data-protection controls; measure resulting improvements.
Own test organization, traceability, regression selection, and execution reporting; lead evidence-based defect triage and root-cause analysis.
Strengthen API contracts, authentication, authorization, multi-tenant access, configurable workflows, and cross-service data validation, including coverage for downstream failures.
Track actionable quality metrics and mentor QA/SDET engineers through test planning, code reviews, debugging, and test-architecture guidance.
Work with cross-functional leadership to communicate quality risks, provide release recommendations, and drive informed decisions.