Remote AI-Native QA Automation Engineer — Evidence-Driven Testing

Zenara Health; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Fully remote work

Equipment allowance

Direct access to the founder and Head

Job summary

Zenara Health is seeking an AI-native Software Engineer focused on QA Automation. This remote, full-time role overlaps US Pacific Time via IST hours, with ~50 hours per week.

You will design and operate a QA platform, build test harnesses, and drive agent-driven tests that prove product quality with real evidence. You will collaborate with engineering and product to set quality gates across critical journeys, reduce flaky tests, and deliver reliable release evidence.

Qualifications

• Strong software engineering ability: design, write, debug, and maintain code.

Responsibilities

• 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 help 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.

Skills

Software engineering

Test automation

Playwright

Cypress

API testing

CI/CD

AI agents

Debugging flaky tests

Tools

Playwright

Cypress

Job description

Zenara Health is seeking an AI-native Software Engineer focused on QA Automation. This remote, full-time role overlaps US Pacific Time via IST hours, with ~50 hours per week.

You will design and operate a QA platform, build test harnesses, and drive agent-driven tests that prove product quality with real evidence. You will collaborate with engineering and product to set quality gates across critical journeys, reduce flaky tests, and deliver reliable release evidence.