The brief
Embed a full-time QA Automation engineer to own end-to-end quality assurance for Lucidity's cloud assessment (audit) tool and SaaS dashboard, covering multi-cloud functional testing (AWS, Azure, GCP), automation framework development, and CI/CD pipeline integration — ensuring product reliability as Lucidity scales its cloud storage optimization platform toward enterprise customers.
What we built
A comprehensive, multi-layered QA automation system for Lucidity's cloud storage optimization platform. This includes:
- A Gradle/Java E2E test framework for the desktop audit/assessment Electron app covering AWS, Azure, and GCP multi-cloud flows with column validation, delta value checks, and OS detail verification
- A Playwright UI automation framework for the Electron assessment app and SaaS web dashboard
- A Summary-Level Testing (SLT) framework for automated report sheet validation integrated into CI
- Visual regression automation for the dashboard, Scaler module, website, and mobile views
- Feature test suites for advanced infrastructure (AKS, EKS, ASR, clustered storage)
- Cross-OS compatibility testing across Windows Server 2020/2025 and Ubuntu 20.04/2024
- Jobs revamp, disk limit, CSV tag, and agent install search bar automation for the SaaS dashboard. All automation was PR-gated and CI-pipeline integrated via Bitbucket.



