AI-Native Software Engineer, QA Automation

🔥 12 hours ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⚙️ Software Development Engineer in Test (SDET)

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Logo of Zenara Health

Zenara Health

1 - 10 employees

Founded 2023

🏥 Healthcare

💼 Consulting

☁️ SaaS

Healthcare • Consulting • SaaS

Zenara Health is a SaaS platform for mental health clinics and providers that uses AI-driven assessments, workflow automation, and monitoring to streamline intake, documentation, care coordination, and billing. It generates clinician-informed, measurement-based care plans, integrates with EHRs (starting with Charm), captures timers and claims-ready artifacts to surface reimbursable work, and supports human-in-the-loop validation and continuous outcome tracking. The product emphasizes security and compliance (HIPAA/BAA, encryption, audit logs) and is targeted at clinicians, psychiatrists, and group practices looking to improve outcomes, reduce clinician burden, and increase revenue.

📋 Description

• Build and maintain the QA automation harness across browser, API, data, and workflow layers • Create automated checks that run on every meaningful change • Build synthetic test data and isolated test environments • Own the UAT/QA automation pipeline from requirement to test plan to run to evidence • Use AI agents to generate, execute, improve, and debug tests • Build independent agent-driven QA workflows that test the work of code-writing agents • Prove tests work by reintroducing known bugs and showing they fail correctly • Reduce flaky tests and distinguish real product failures from environment noise • Produce reliable QA evidence for releases • Work with engineering and product to define quality gates for critical user journeys • Help design and operate browser/API test runners, synthetic data systems, isolated environments, requirement-to-test workflows, automated checks, agent-driven QA workflows, evidence generation, failure routing, and quality metrics • Map the current QA setup and highest-risk user journeys during the first 30 days • Deliver an automated end-to-end QA lane that runs on every change and catches a known bug within the first 30 days • Ensure key Assess and Zenflow journeys are automatically covered and every release has QA evidence within the first 90 days • Measure and improve flaky-test rate and runtime

🎯 Requirements

• Mid to senior-level software engineering ability • Ability to design, write, debug, and maintain code • Experience with test automation using Playwright, Cypress, API testing frameworks, or similar tools • CI/CD experience and comfort wiring tests into build and release workflows • Practical experience using AI agents to create or improve tests • Strong judgment about whether a test actually proves anything • Ability to seed a bug, run a test, and demonstrate that the test catches the failure • Comfort debugging flaky tests, environment issues, and test data problems • Skeptical, evidence-driven thinking • Clear communication around risk, coverage, and release confidence • Ability to use agents to generate test ideas, test code, and edge cases • Ability to critically review agent-created tests • Ability to build workflows where agents test independently from code-writing agents • Ability to use AI to analyze failures and propose debugging paths • Ability to create repeatable quality gates that scale with development speed • Ability to measure whether AI-generated tests are useful • Ability to avoid false confidence from tests that pass without proving behavior • Healthcare or regulated-software experience is a nice to have • Experience testing AI-powered features is a nice to have • Experience building test environments and synthetic data is a nice to have • Performance or load testing experience is a nice to have • Attendance required during approximately 6:00 PM–12:00 AM IST for meetings and live collaboration • Approximately 50 hours per week commitment

🏖️ Benefits

• Fully remote work • Equipment allowance • Direct access to the founder and Head of Engineering • Opportunity to build the QA function as an engineering platform from the ground up • Competitive compensation, based on demonstrated ability and experience

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