QA Lead / Quality Engineering Lead - AI-Native Quality Systems
Zenara Health
| Company | Zenara Health |
| Category | Engineering |
| Location | India |
| Remote | Remote |
| Employment | Full-time |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | 25 Feb 2026 |
| Last verified | 10 Aug 2026 |
| Source | Employer ATS (workable) |
Description
About the Company Zenara Health is a technology-driven mental health care company dedicated to transforming access and quality of mental wellness services. We combine AI-powered platforms with expert clinical care to deliver personalized, effective mental health solutions — connecting patients and providers through a seamless digital experience. We're building multiple products across the clinical workflow — from AI-driven evaluations to care coordination — and moving fast. This is a startup, not a department. About the Role Read this carefully. If you're a manual tester looking for a comfortable QA role, stop here. We're building AI-powered clinical software, and our quality function needs to operate at the same level of intelligence and autonomy as the products it tests. We don't need someone who writes test cases from Jira tickets. We need someone who designs quality systems. Our QA function is ready to scale from strong foundations to systematic automation. You'll be the person who architects that scaling — building the test infrastructure, automation frameworks, and AI-augmented QA workflows that let quality grow without linear headcount. The person we're looking for has probably managed a team of 3-8 QA testers at some point and had this thought: "Half this team could be replaced by good automation and smart test design." You're tired of babysitting manual testers. You want to build the machine instead of being the machine. We're paying significantly above market for QA in India because we're not hiring a typical QA person. We're hiring someone who thinks about quality the way a systems architect thinks about infrastructure. This Is Not a Traditional QA Role This is a quality engineering role. You will: - Architect test automation from zero — Playwright-based E2E, API, and integration test suites across multiple healthcare products - Build AI-augmented QA — use Claude, Copilot, and AI tools to generate test cases, identify edge cases, and create self-healing test suites - Integrate QA into AI-assisted development workflows — shift-left testing that catches defects at the source, not the gate - Own the quality gate — if you don't trust it, it doesn't ship. You have release authority. - Design regression automation that maintains coverage as multiple products evolve simultaneously - Establish quality engineering culture — documentation, runbooks, test plans that aren't in anyone's head What Your First 90 Days Look Like Week 1-2: Audit all products. Map coverage gaps. Identify the highest regression risks. Pair with the current QA team to absorb domain knowledge and institutional context. Month 1: Build the Playwright automation scaffold — CI-integrated, parallel execution, covering critical paths. Establish the QA runbook: how we test, when we test, what blocks a release. Month 2-3: Attach AI-driven test generation to the framework. Build autonomous QA loops that feed back into development. Get to the point where coverage grows without linear human effort. Ongoing: Own quality across everything. Context-switch between products in the same week. Pair with engineering on testability. Work directly with the founder and clinical team on healthcare-specific edge cases — billing, HIPAA compliance, clinical workflow validation. What You'll Own (End-to-End) 1. Test Automation Architecture — Playwright (preferred) or Cypress E2E suites. API test automation (REST Assured, Postman-based, or custom). CI/CD pipeline integration. Parallel execution. Containerized test environments. Custom reporters. 2. Regression Automation — Systematic regression suites, versioned and updated every sprint. Not a spreadsheet. Not tribal knowledge. A living, automated safety net. 3. AI-Augmented Quality Engineering — Using AI tools to generate tests, create test data, identify edge cases from specs, and accelerate coverage. We're an AI-native company — o