QA Engineer - Zenara Health (Remote) at 2070Health

, , India -

Full Time

Start Date

Immediate

Expiry Date

15 May, 26

Salary

0.0

Posted On

14 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Manual Testing, Automated Testing, AI-Accelerated QA, Bug Tracking, Test Design, Documentation, Cross-Team Influence, Performance Testing, Regression Testing, HIPAA Compliance, Process Improvement, Selenium, Cypress, Playwright, API Testing, Jira

Industry

Venture Capital and Private Equity Principals

Description

**This is not a role with 2070 Health** Role Title: QA Engineer — Zenara Health Location: Remote across India (works US Pacific hours) Type: Full-time About the Company: Zenara Health is a technology-driven mental health care company dedicated to transforming access and quality of mental wellness services. The company combines AI-powered platforms with expert clinical care to deliver personalized, effective mental health solutions. Zenara Health strives to innovate and improve mental health outcomes by connecting patients and providers through a seamless digital experience. The Role This is partnership, not just testing. Be the guardian of quality across our software. Own QA — manual, automated, AI-assisted, and process-driven — so every release is reliable, performant, and secure. You'll turn complex requirements into test plans, enforce standards, leverage AI to move faster without cutting corners, and prevent defects before they reach clinicians and patients. We don't want someone who runs tests. We want someone who thinks about quality — and uses every tool available, including AI, to guarantee it. A Day in Flow (The Feel, Not a Script) Two-minute check-in — tests executed, defects found, one risk escalated. During sprints: convert feature specs into test plans + actionable results before the day ends. Use AI tools to generate initial test cases from requirements, then refine with your expertise. After: bugs logged and tracked, regression suites updated, CI/CD pipelines verified, polite reminders sent. Quiet confidence, zero drama. What You'll Own Manual & Automated Testing — Develop and execute test plans for web and mobile applications. Build and maintain automated test suites that scale. AI-Accelerated QA — Use AI tools (GitHub Copilot, Claude, Codium/CodiumAI, Testim, Katalon, or similar) to generate test cases from specs, auto-generate edge-case scenarios, accelerate test script creation, and reduce repetitive manual effort. Continuously evaluate new AI-powered QA tools and bring recommendations to the team. Bug Tracking & Resolution — Log, track, and verify defects using Jira, Azure DevOps, or similar. Prioritize ruthlessly. Test Design & Documentation — Maintain scripts, test cases, and reports that the whole team can understand and trust. Cross-Team Influence — Collaborate with developers, product managers, and security teams to reproduce, troubleshoot, and resolve issues. Be the quality voice in every sprint. Performance & Regression Testing — Ensure reliability under normal and peak conditions. Continuously expand regression coverage through automation. Compliance & Standards — HIPAA, security best practices, and healthcare regulations. Ensure audit readiness is a default state, not a scramble. Process Improvement — Advocate for quality across teams, drive continuous improvements, and champion AI adoption in the QA workflow. Authority (Ramped on Purpose) You'll set quality standards from day one. Scope ramps as you deliver: approve or decline release readiness, enforce testing guidelines, and escalate risks early — with our full backing. What Success Looks Like Defects caught before production — consistently. Regression coverage is high, with AI-assisted and automated tests measurably reducing manual workload. QA processes adopted across the team without slowing feature delivery. AI tools integrated into the QA pipeline, with demonstrable time savings. Compliance and audit readiness ensured at all times. Schedule Daytime hours with 4–8 hours of overlap to US Pacific, with flexibility for critical releases or audits. Values & Vibe (Who You Are) Meticulous, collaborative, and proactive — who also ships results. You enforce quality with kind authority, make testing practices accessible, and help the team deliver software they can trust. You're the amplifier for a creative engineering team that never compromises patient safety or reliability. You're also curious about how AI is reshaping QA. You don't use AI as a buzzword — you use it as a lever. You've already experimented with AI-powered test generation, copilot-assisted scripting, or intelligent defect triage, and you're looking for a team that wants to go further. What You've Done Required: 2–4+ years in software QA (manual and automated). Strong understanding of SDLC, testing methodologies, and defect tracking. Hands-on experience with test automation frameworks — Selenium, Cypress, or Playwright. Demonstrated use of AI tools to accelerate testing — whether that's AI-generated test cases, copilot-assisted test scripting, intelligent test maintenance, or AI-driven exploratory testing. We want to see that you've actually used these tools, not just read about them. Familiarity with REST APIs and API testing tools (Postman, etc.). Excellent attention to detail and structured problem-solving. Preferred: Healthcare IT experience or understanding of HIPAA/compliance requirements. Cloud familiarity (Azure). CI/CD pipeline knowledge — you understand where QA fits in the deployment flow. Performance and load testing experience (JMeter, k6, or similar). ISTQB or other QA certifications. Experience evaluating and rolling out new QA tools or processes across a team. Benefits Remote-first Equipment stipend Local holidays (India) Learning budget (QA, security, cloud, AI tools)

Responsibilities

The QA Engineer will own quality across software, encompassing manual, automated, and AI-assisted testing to ensure reliability, performance, and security in every release. This involves translating complex requirements into test plans, enforcing standards, leveraging AI tools, and preventing defects before they reach end-users.