We are a SaaS company reworking our QA process to fit a faster, more AI-driven way of building software. We are looking for a **senior QA / Quality Engineering consultant** to review our current process and help us design a more modern quality model. This is **not** a traditional manual QA role. We want someone who understands how QA should evolve when developers are using AI tools more heavily in design, coding, testing, and iteration. This will start as a **paid consulting engagement** focused on assessment and recommendations, with potential follow-on work if there is a fit. **What we want help with** * Review our current QA and release process * Identify bottlenecks, weak points, and outdated practices * Recommend how QA should evolve in an AI-assisted SaaS environment * Advise on the right mix of: * manual exploratory testing * automated UI testing * API/integration testing * regression strategy * release validation * production monitoring / observability * Help define what developers should own vs what QA should own * Recommend tools, workflows, and operating practices that improve speed and release confidence * Suggest practical uses of AI for: * test case generation * acceptance criteria expansion * bug reproduction * failure triage * test maintenance * Provide a practical roadmap for implementation **Ideal background** * Strong senior experience in QA, SDET, or Quality Engineering * Experience with SaaS product teams * Experience modernizing QA processes and improving release quality * Strong knowledge of Playwright, Cypress, API testing, CI/CD, and modern QA workflows * Able to think strategically, not just execute tests * Comfortable advising leadership, product, and engineering teams **Initial engagement** * 1 discovery / consulting call * Review of our current QA setup * Written recommendations on process, tooling, and ownership * Suggested future-state QA model * Practical next-step roadmap **To apply, please include** 1. A short note on how you think QA is changing because of AI 2. Examples of SaaS teams or QA functions you have helped improve 3. Your preferred testing/tooling stack and why 4. How you would approach redesigning QA for a team shipping faster with AI-assisted development 5. Any relevant case studies, frameworks, or sample deliverables **Preferred** We are looking for someone practical, opinionated, and experienced enough to challenge old assumptions and help us build a stronger QA model for the next stage of growth. --- I’d also recommend these **Upwork settings**: * **Project type:** Hourly * **Experience level:** Expert * **Project length:** Less than 1 month to start * **Hours:** Less than 30 hrs/week initially * **Category:** DevOps / QA / Automation Testing or Software QA Testing * **Most relevant skills:** QA Strategy, Test Automation, Playwright, Cypress, API Testing, CI/CD, SaaS, Quality Engineering If you want better candidates, I would actually rename it from **QA Consultant** to: **Senior Quality Engineering Consultant for AI-Driven SaaS** That title tends to attract stronger people. Here’s an even **shorter Upwork version** if you want something tighter: --- **Title:** Senior Quality Engineering Consultant for AI-Driven SaaS We are a SaaS company redesigning our QA process for a faster, more AI-assisted development environment. We are looking for a senior consultant who can assess our current QA model and help us define a modern quality strategy. We want guidance on process, tooling, ownership, and practical implementation. **We need help with:** * Reviewing our current QA and release process * Recommending the right mix of manual, automated, API, UI, and regression testing * Defining QA vs developer ownership * Improving release confidence while moving faster * Identifying practical ways to use AI in testing and QA workflows * Providing a future-state recommendation and action plan **Ideal candidate:** * Senior QA / SDET / Quality Engineering background * Strong SaaS experience * Experience modernizing QA processes * Strong with Playwright, Cypress, API testing, CI/CD, and testing strategy * Able to provide both strategic advice and practical recommendations **Initial scope:** * Paid consulting call * QA process review * Written recommendations and roadmap Please apply with: * Relevant SaaS / QA modernization experience * Your view on how AI is changing QA * Your preferred stack and methodology * Examples of similar work