SDET

About the role

About CertifyOS

CertifyOS is building the data infrastructure that powers modern healthcare.

Today, healthcare organizations rely on fragmented and outdated provider data. This creates unnecessary administrative work, regulatory risk, and higher costs across the system. We’re solving that problem.

Our API-first platform automates provider licensing, enrollment, credentialing, and network monitoring by connecting directly to hundreds of primary data sources. We help healthcare organizations maintain accurate, compliant, and reliable provider networks at scale.

Our vision is simple: One API. One provider ID. Frictionless provider data.

We’re backed by leading investors and built by a team with deep experience in provider data systems. At CertifyOS, we value authenticity, accountability, collaboration, results, and openness to feedback. We’re building a high-ownership team focused on solving real infrastructure problems that impact millions of patients.

ABOUT THE ROLE

We are looking for an AI-first Software Development Engineer in Test (SDET) to help us build reliable, scalable, and high-quality software.

This role goes beyond traditional QA and test automation. You will leverage AI-assisted engineering and agentic workflows to accelerate test development, improve test coverage, automate quality checks, and identify performance and scalability issues.

You will work closely with developers, product managers, and engineering leaders to embed quality throughout the software development lifecycle.

We expect you to think like a software engineer, automate like an SDET, and use AI as a force multiplier.

KEY RESPONSIBILITIES

1. AI-FIRST QUALITY ENGINEERING

- Adopt AI-assisted and agentic approaches across the testing lifecycle.

- Use AI coding agents to generate, execute, debug, and maintain automated tests.

- Build AI-assisted workflows for test case generation from product specifications and acceptance criteria.

- Explore agentic testing approaches that can independently execute workflows, identify failures, and report defects.

- Use AI to analyse test failures, identify patterns, and suggest potential root causes.

- Continuously identify opportunities to reduce manual effort through AI and automation.

2. TEST AUTOMATION

- Build and maintain scalable automation frameworks for UI, API, integration, and end-to-end testing.

- Develop reusable test components and automation libraries.

- Automate critical business workflows and regression suites.

- Integrate automated testing into CI/CD pipelines.

- Use Playwright, Cypress, Selenium, or equivalent frameworks.

3. PERFORMANCE & LOAD TESTING

- Design and execute load, stress, spike, and endurance tests.

- Simulate real-world traffic, concurrent users, and high-volume API requests.