AI-Native Software Engineer, QA Automation

This is a fully remote position, open to applicants in India.

📋 Description

• Develop and manage the QA automation framework across browser, API, data, and workflow layers.

• Implement automated checks that execute with every significant change.

• Generate synthetic test data and create isolated testing environments.

• Oversee the UAT/QA automation pipeline from requirements gathering to test planning, execution, and evidence collection.

• Leverage AI agents to produce, execute, enhance, and troubleshoot tests.

• Create independent agent-driven QA processes that evaluate the output of code-writing agents.

• Validate test effectiveness by reintroducing known bugs and demonstrating their failure appropriately.

• Minimize flaky tests and differentiate genuine product failures from environmental inconsistencies.

• Provide trustworthy QA evidence for software releases.

• Collaborate with engineering and product teams to establish quality gates for essential user journeys.

• Assist in the design and operation of browser/API test runners, synthetic data systems, isolated environments, workflows from requirement to test, automated checks, agent-driven QA paths, evidence generation, failure routing, and quality metrics.

• Assess the current QA infrastructure and identify high-risk user journeys within the first 30 days.

• Implement an automated end-to-end QA process that runs with every code change and detects a known bug within the first 30 days.

• Ensure that key Assess and Zenflow journeys are automatically covered, and every release has QA evidence within the first 90 days.

• Track and enhance the rate of flaky tests and their runtime.

⛳️ Requirements

• Mid to senior-level proficiency in software engineering.

• Capability to design, write, debug, and maintain software code.

• Experience with test automation utilizing Playwright, Cypress, API testing frameworks, or comparable tools.

• Familiarity with CI/CD processes and integrating tests into build and release pipelines.

• Hands-on experience employing AI agents to develop or refine tests.

• Strong discernment regarding the validity of test outcomes.

• Ability to introduce a bug, execute a test, and demonstrate the test's capability to catch the failure.

• Proficiency in troubleshooting flaky tests, environmental challenges, and test data issues.

• Critical, evidence-driven mindset.

• Effective communication regarding risk, coverage, and confidence in releases.

• Skill in utilizing agents to generate test concepts, test code, and edge cases.

• Capability to critically evaluate tests produced by agents.

• Ability to construct workflows where agents conduct tests independently from code-writing agents.

• Proficient in using AI to analyze failures and suggest debugging strategies.

• Ability to establish repeatable quality gates that adapt to the speed of development.

• Capability to assess the usefulness of AI-generated tests.

• Ability to avoid misplaced confidence from tests that pass without demonstrating behavior.

• Prior experience in healthcare or regulated software is a plus.

• Familiarity with testing AI-driven features is a plus.

• Experience in building testing environments and synthetic data is a plus.

• Background in performance or load testing is a plus.

• Attendance required for meetings and live collaboration typically between 6:00 PM–12:00 AM IST.

• Commitment of approximately 50 hours per week.

🏝️ Benefits

• Fully remote working arrangement.

• Equipment allowance provided.

• Direct access to the founder and Head of Engineering.

• Opportunity to establish the QA function as an engineering platform from the ground up.

• Competitive salary, based on demonstrated skills and experience.