Top Remote QA Jobs in Greensboro, NC

Own release quality through manual and automated testing of complex 3D and geospatial features. Maintain test suites in a TypeScript/Playwright framework, verify fixes, run regressions, approve builds, and use AI tools to accelerate test creation and bug investigation. Collaborate with engineers and test across multiple platforms and devices.

Design, develop, and execute manual and automated test plans for Salesforce applications. Build automation frameworks (Selenium, Playwright, Provar, Apex), perform API, regression, performance, smoke, and accessibility/Section 508 testing, track defects in JIRA, and collaborate with cross-functional Agile teams to ensure high-quality deployments and updated test documentation.

The Senior Testing/QA Specialist will design and manage testing strategies, develop testing architecture, execute test plans, and collaborate with developers to improve software quality.

Build and maintain automated test suites for smart contracts and UIs, integrate testing into development, track bugs, improve frameworks, and ensure test coverage for new features.

Lead POS QA within a scrum team by defining test strategy, building and maintaining automation (UI, API, integration), expanding regression suites, integrating tests into CI/CD, analyzing distributed-system failures, tracking defects, and mentoring QA engineers to ensure high-quality releases.

Test frontend dApps and trading platforms through manual and automated UI tests. Build and maintain Playwright/Typescript automation, validate APIs and blockchain integrations, investigate issues across stacks, analyze logs/metrics, support releases and incident investigations, and collaborate with engineering and product teams to improve quality.

Perform manual and automated testing across web, mobile, APIs, backend services, and blockchain integrations. Build and maintain Python-based test frameworks, investigate issues across distributed systems, analyze logs/metrics/network traffic, contribute to release validation and automation, and collaborate with product, engineering, and DevOps. Use AI tools to accelerate testing, support incident analysis, and proactively improve testing coverage and product reliability.