Top QA Jobs in Minneapolis, MN

Coordinates requirements, test data, test planning, automation, execution, defect retesting, triage, and production validation. Mentors onshore and offshore QA teams, leads grooming and design discussions, creates traceability matrices and effort estimates, participates in peer reviews, and collaborates with business and engineering stakeholders. The role supports U.S. healthcare applications and applies Selenium, Java, TestNG, Jenkins, Robot Framework, and AI-driven testing methods within Agile and Scrum environments.

Leads the design, development, testing, deployment, and support of sophisticated trading software. Integrates real-time market data, ensures high performance and reliability for high-frequency trading, develops comprehensive test plans, conducts code reviews, debugs complex issues, mentors engineers, supports live systems, and drives continuous improvement, documentation, and disaster recovery planning.

Develop and maintain UVM-based SystemVerilog verification environments and Python testbenches for advanced ASIC and SoC designs. Define and execute block- and system-level verification plans, debug functional and integration issues, drive coverage closure, and improve verification quality. Collaborate with design and post-silicon validation teams while evaluating AI-assisted techniques to increase verification productivity and debugging efficiency.

Provides technical leadership for electronics troubleshooting, data acquisition system installation, system testing, data analysis, and technical reporting. Leads product assurance initiatives, supports audits, and resolves customer technical challenges. The role requires work in manufacturing and fabrication environments, including PPE use and confined-space access, plus field assignments and 20–30% travel.

Support enterprise customers and partners integrating applications with Wasabi Cloud. Diagnose, research, reproduce, and report defects; test storage services with third-party applications; validate interoperability using APIs and SDKs; investigate S3 protocol behavior; and collaborate with sales, development, QA, product, and support teams.

Leads QA strategy and testing for Adobe Experience Manager projects, including functional, automation, API, accessibility, UI/UX, integration, regression, and release testing. Manages test planning, case reviews, defect lifecycle, quality metrics, and release sign-offs while mentoring QA engineers. Validates AEM Sites, Assets, Forms, workflows, Dispatcher, integrations, and responsive experiences. Integrates automated testing into CI/CD pipelines and collaborates with developers, designers, architects, and stakeholders to improve product quality and compliance.

Leads end-to-end quality assurance for Workday implementations, upgrades, and enhancements. Defines testing strategies, plans, frameworks, and risk mitigation; oversees functional, integration, regression, and UAT testing across Workday modules. Manages defects, test data, environments, release validation, reporting, and stakeholder sign-off. Coordinates QA activities among business teams, developers, system integrators, vendors, and delivery partners while ensuring adherence to quality standards and governance.

Supports test engineering activities by preparing and executing test plans, gathering and analyzing test data, troubleshooting issues, improving test processes, and documenting results. Collaborates with engineering teams to support product testing, quality assurance, system integration, and delivery of high-quality aerospace products.

Configures and tests clinical platform requirements for healthcare clients, defines test scenarios and success criteria, troubleshoots technical issues, and supports implementations. Serves as a configuration subject-matter expert for client-facing teams, collaborates with Product, Development, Design, and Engineering, and helps develop scalable configuration management tools.

Designs and maintains automated test frameworks and exploratory suites for products, APIs, SDKs, AI models, and data platforms. Develops functional, integration, end-to-end, regression, API, browser, load, and reliability tests; creates datasets, evaluation pipelines, dashboards, and CI/CD release gates. Partners across Engineering, Research, Product, Data, and Infrastructure to validate model behavior, data quality, performance, and production readiness. Documents reproducible defects, supports triage, and communicates risks.