Software Quality Assurance Technician

Software Quality Assurance Technician – Cloud, API & AI Systems (Contract / Temporary)

Dearborn, MI (Hybrid – 4 days onsite) | $36.66/hour

We are seeking a detail-driven Software Quality Assurance Technician to support testing, validation, and vendor deliverable acceptance for cloud-native, API-driven, and AI-enabled platforms. This temporary role focuses on ensuring software quality, compliance, and performance across containerized services, data pipelines, and AI engine deployments within a Google Cloud Platform environment.

The ideal candidate has strong experience in API testing, automation, cloud infrastructure validation, and structured QA processes including UAT, regression testing, and defect management.

• Own vendor deliverable acceptance reviews against SOW acceptance criteria and issue formal defect reports
• Validate container images against SBOM requirements and cloud architecture standards
• Ensure AI model deployments comply with platform requirements (including Vertex AI registry validation)
• Design and maintain automated test suites for APIs, backend services, and data pipelines
• Execute regression, integration, and performance testing across cloud-native applications
• Lead UAT efforts with business stakeholders, including test design and feedback analysis
• Manage Jira defect workflows, prioritization, and SLA reporting
• Define and support GCP-based test environments with cloud engineering teams
• Develop QA metrics, dashboards, and test coverage reporting for leadership
• Evaluate AI/LLM outputs for accuracy, consistency, and regression performance

• 4+ years of software QA experience in cloud-native environments
• Strong API testing experience (Postman, REST, or equivalent)
• Experience with Google Cloud Platform (GCS, Pub/Sub, Big Query, Cloud Run)
• Experience with containerized application testing and CI/CD validation
• Strong Jira experience for defect tracking and reporting
• Experience executing UAT and writing structured test cases
• Knowledge of automation frameworks (pytest or equivalent)

• AI/LLM testing or output evaluation experience
• Dynatrace or APM monitoring tools
• Performance/load testing experience
• Automotive or enterprise-scale QA environments

• Medical, dental, vision, and pet insurance
• 401(k) Retirement Savings Plans
• Employee Assistance Program (EAP)
• Commuter/Parking Accounts
• People Perks
• Health Savings Account (HSA)
• AD & D Insurance

This role is ideal for candidates seeking QA engineer, test engineer, automation engineer, API testing, or cloud QA roles in a modern AI and cloud platform environment.