Is Your Test Automation Code Production-Ready?
SDET roles at Indian product companies pay ₹8-15 LPA at entry level with 10x fewer applicants than full-stack roles. We audit your test automation repositories against the criteria that SDET technical interviews actually test: test framework design, CI integration, mocking strategies, and test data management.
What SDET Interviews Actually Evaluate
SDET is the most under-targeted entry-level tech role in India. Every product company needs test infrastructure. Almost no bootcamp produces SDET graduates. The result is a 10:1 advantage in applicants-per-opening compared to full-stack roles. Our audit evaluates your test automation portfolio on four dimensions: unit testing fundamentals (coverage categories: happy path, edge cases, error paths), API testing patterns (request validation, response assertion, mock external dependencies, database state verification), end-to-end testing with Playwright or Selenium (browser automation, dynamic content handling, flaky test mitigation), and CI/CD integration (test execution on push, parallelization, reporting).
The most common failure pattern in SDET portfolios is testing the happy path exclusively. A test suite that verifies only correct-input scenarios provides zero evidence of defensive testing capability. Our audit evaluates your test coverage across three categories: happy path (expected input produces expected output), edge cases (empty input, boundary values, null/undefined, maximum-length strings), and error paths (invalid input produces correct error response, dependency failure handled gracefully). A test suite that covers all three categories signals professional testing competence. A test suite that covers only happy paths signals tutorial-level QA understanding.
CI/CD integration separates SDET portfolios from QA portfolios. An SDET is not someone who writes tests — that is a QA engineer. An SDET builds the infrastructure that runs tests automatically on every code change, reports results to the team, and blocks deployment when tests fail. Our audit verifies: does your GitHub Actions workflow run tests on every push? Are test results visible in the Actions UI or a reporting dashboard? Is the pipeline configured to block merges if tests fail? These three checks determine whether your profile reads as 'SDET' or 'tester who knows how to write test scripts.'
System Comparison
| EVALUATION CRITERIA | TYPICAL QA PORTFOLIO | ANVIL SDET DIAGNOSTIC |
|---|---|---|
| Test Coverage Categories | Happy path only. No edge cases. No error path testing. Zero negative testing. | Three-category audit: happy path, edge cases, error paths. Missing categories flagged with specific test scenarios to add. |
| Test Framework Design | Tests written ad-hoc with no shared utilities. Repeated setup code. No custom matchers. | Framework quality audit: setup/teardown patterns, custom matchers, page object model adoption, test data factory patterns. |
| Mocking Strategy | No mocking. Tests call real APIs and real databases. Tests fail when external services are down. | Mock completeness audit. External dependency isolation verified. Database test strategy evaluated (test DB with seeding vs mocking). |
| CI/CD Integration | Tests run only locally. No CI pipeline. No automated reporting. Manual execution required. | CI pipeline verification. Test result reporting audit. Merge-blocking configuration check. Parallelization opportunity analysis. |
Frequently Asked Questions
Do you audit both JavaScript/TypeScript and Java test frameworks?
Yes. For JavaScript/TypeScript: Jest, Vitest, Playwright, Cypress. For Java: JUnit, TestNG, Selenium, RestAssured. For Python: pytest, unittest, Selenium. Our audit adapts to your language and framework. The testing principles we evaluate are language-agnostic. The specific framework patterns we check are language-specific.
Is this different from just checking test coverage percentage?
Coverage percentage measures quantity, not quality. We have seen portfolios with 90% coverage where every test was a happy-path assertion that would pass against buggy code. We have seen portfolios with 40% coverage where each test was a carefully constructed edge-case or error-path scenario that provided genuine confidence in the code. Our audit evaluates test quality, not just quantity. Coverage percentage is a data point. Coverage category distribution is the signal.
Get Your Test Automation Portfolio SDET-Reviewed
Submit your GitHub repositories with test suites, CI configs, and framework code. Our SDET team audits your testing infrastructure against the criteria that product companies test in SDET interviews. Receive a 24-hour report with test coverage gap analysis and CI integration recommendations.
- Expert-verified in 24 hours
- Actionable learning paths