Sigi embeds QA engineers who support manual testing, automation, regression control, and quality reporting in your sprint cadence. Related quality work also lives on Manual Testing and Automation Testing. This guide is about when a dedicated QA seat belongs on a product that is already in production.
Signals that QA is late
Teams typically hire QA when the same failures keep showing up, testing piles up near launch, developers are the only people exercising their own work, velocity is rising while hotfixes rise with it, automation exists but is flaky, or nobody can say what is covered before production. Those are the conditions listed on Hire QA Engineers—not a claim about any one client.
What dedicated QA does in the sprint
Manual QA plans tests against acceptance criteria, covers happy paths and edge cases, and writes reproduction steps with evidence. Release validation includes sanity checks and, where the product needs it, cross-browser passes before deployment.
Regression suites protect the flows that must not break. Coverage is risk-based: critical journeys and smoke checklists first, not an infinite catalog of low-value cases. The point is fewer repeat defects, not more tickets.
Automation belongs where it adds confidence. UI automation for critical workflows and API tests for service contracts are the usual pair. Suites should run in CI with test data that does not flake. A suite people ignore is not coverage.
Reporting is part of the job: sprint-aligned status, failure risk, and defect patterns that help developers fix the cause. QA collaborates during development so stories are validated while they are still cheap to change.
Dedicated, specialist, or pod
A dedicated QA engineer is the model for continuous coverage and ongoing regression control. A specialist is the right ask when you need immediate manual capacity or someone to stabilize automation that already exists. A small delivery pod—developer plus QA, or QA plus DevOps, or UI/UX plus QA—fits when you want a module to ship with validation already in the cadence.
Tooling follows the stack you already run. We staff manual and automation QA, and we staff against common ecosystems: Selenium, Cypress, Playwright, Appium where mobile is in scope, and API testing with the tools your team already uses.
How the engagement starts
QA works in your Jira, Linear, or Azure DevOps workflow and in Slack or Teams with developers and product. Quality expectations stay tied to your definition of done. Many teams start with one QA engineer and expand as coverage grows. The focus is repeatable, risk-based validation—not running more tests for their own sake.
If you also need safer deploys, pair this seat with Hire DevOps Engineers so pipeline gates and test execution stay in the same release path.