Top Remote QA Jobs in Albuquerque, NM

Perform foundational manual testing: write and execute test cases, run regression and exploratory tests, document bugs and test results, collaborate with cross-functional teams, update TestRail, and learn automation (Playwright) and AI-assisted testing tools.

The QA Engineer is responsible for test automation, software quality assurance, and platform reliability engineering, ensuring reliable and performant software delivery. They will design and maintain testing frameworks, validate AI workflows, and collaborate with multidisciplinary teams to uphold quality standards.

The Software Quality Assurance Engineer will lead development activities, support feature completion, and drive non-functional requirements in a team focused on the 7750 Service Router.

Join DemandPDX as a Senior QA Engineer for Salesforce Commerce Cloud. Responsibilities include testing SFCC implementations, creating test plans, executing manual tests, and ensuring quality before updates are deployed.

Oversee quality assurance activities for enterprise applications, including test planning, execution, defect management, and team coordination to ensure high-quality software delivery.

The Principal Engineer in QA Manual will lead initiatives in quality assurance, leveraging extensive IT experience and offering strategic insights within a collaborative and non-hierarchical environment.

The Associate Staff Engineer will lead automation testing efforts utilizing various tools and frameworks while mentoring teammates and implementing agile practices.

The Associate Engineer, QA Hybris will contribute to quality assurance processes, working with the latest technologies, and solving complex problems.

Perform manual testing for IAM workflows on the IBM Verify platform, validating SSO, MFA, OAuth/SAML/OpenID Connect, RBAC and identity provider integrations. Create and execute functional, regression, and integration tests across web and API layers, document defects with reproduction steps, support test data/environments, participate in Agile ceremonies, and gradually contribute to API/UI test automation.

Lead automation QA initiatives for a government client: design and maintain automated UI/server tests, perform performance/load testing, enforce SDLC/Agile QA practices, mentor engineers, and report test results and risks to stakeholders.

Support VBA COE contract by developing and executing manual and automated test strategies for SaaS/PaaS solutions. Create test plans, test cases, test data, and document results. Execute unit, functional, automation, regression, performance, scalability, and UAT testing. Use test management tools (Xray); Provar preferred. Ensure quality delivery and maintain required Public Trust eligibility. US Citizen required.

Lead QA for complex, multi-component systems by designing and implementing automated tests, performing system integration and performance testing, mentoring junior engineers, driving QA strategy, reviewing test code and PRs, and collaborating with product and engineering to integrate quality into the development lifecycle.

Remote QA Engineer responsible for manual testing and ensuring quality of web and mobile applications. Tasks include web application testing, using Linux command line, SQL queries, bug tracking, load testing, and writing automated tests in Java.

Design, implement, and maintain automated test suites validating frontend flows, backend APIs, and on-chain execution. Build deterministic tests for order lifecycle, slippage, fees, and state reconciliation; run tests in local chain/testnet environments; integrate with CI/CD; triage failures and collaborate with engineers to improve testability and ensure high-confidence releases.

The QA Engineer will enhance test automation frameworks, ensure smooth deployment of features, and evaluate ClickHouse's functionality while collaborating across teams.

As a QA Engineer, you will define and execute test plans, perform various types of testing, and collaborate with teams to ensure quality software releases.

The Principal Technology Architect - QA will design QA architecture for SaaS products, implement AI-driven testing, and mentor engineers. They will ensure quality practices are adopted across teams and represent the organization in the quality engineering field.

This role involves developing software interfaces and contributing to embedded system development using various technologies, while gaining experience in system validation and quality assurance.

Assist in developing management interfaces and embedded systems software while gaining experience in system validation and quality assurance.

Lead system analysis and QA for Agile projects by designing and executing manual and automated test strategies, managing regression suites, tracking defects in Azure DevOps, supporting automation frameworks, and facilitating Scrum ceremonies to ensure high-quality software delivery.

Test software products through manual and automated test cases, report and track defects, collaborate with developers to reproduce and resolve issues, and ensure product quality and performance.

Develop and maintain automated tests, analyze and record test run results, work with CI/CD, write tests in Java, use SQL and bug tracking systems, and support test process improvements.

Expand and own automated test coverage for the Kitchen Display System: design and execute UI, API, regression, and smoke tests; build scalable automation frameworks; maintain CI/CD test pipelines; investigate defects and improve test reliability; collaborate with developers, product, and QA; use AI-assisted tools to boost test design and engineering productivity.

Lead QA strategy and execution for ARBI and Athena: audit QA, define test architecture, build automated frontend/API/integration/regression suites, validate AI/LLM behaviors and data workflows, integrate tests into CI/CD, perform performance and reliability testing, and own release readiness, metrics, and QA operating rhythms across the product.

The QA Engineering Manager will lead a team in building and implementing AI-driven QA processes, focusing on automation, mentoring staff, and ensuring quality standards across product lifecycles.