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Senior QA / Test Engineer - Cloud + AI Platform

Epitec

Dearborn · On-site Contract Senior 3d ago

About the role

Position Title

Senior QA / Test Engineer – Cloud & AI Platform

Location:

Dearborn, MI-Hybrid – 4 Days Onsite

Employment Type

W2 Contract – Long-Term

Benefits

Medical Benefits & PTO Included

Work Environment

Hybrid (4 days onsite / 1 remote)

Position Description

Epitec is seeking to support the largest global U.S. automaker in hiring a Senior QA / Test Engineer to support a cutting-edge Telemetry & Observability Platform (TOP).

This role is responsible for owning end-to-end quality validation across vendor deliverables, AI-driven services, APIs, and cloud-native data pipelines. You will drive both manual and automated testing strategies while ensuring adherence to strict acceptance criteria, cloud architecture standards, and SLA requirements.

Key Responsibilities • Own vendor deliverable acceptance process (SOW validation + defect documentation) • Validate containerized deployments and SBOM alignment • Ensure AI model deployments align with cloud architecture (GCP / Vertex AI standards) • Build and maintain automated API and backend test frameworks • Develop AI output evaluation frameworks (accuracy & regression validation) • Lead User Acceptance Testing (UAT) with business stakeholders • Manage Jira defect workflows (triage, prioritization, SLA tracking) • Perform regression and integration testing across platform releases • Define and maintain cloud-based test environments (GCP) • Produce QA metrics reporting for leadership (defects, SLA, coverage)

Required Qualifications • 4+ years of software QA experience (cloud-native systems required) • Strong API testing and automation experience • Hands-on experience testing containerized applications in cloud (GCP preferred) • Experience executing formal acceptance testing against defined criteria • Proven UAT leadership with real end users • Strong Jira experience managing defects and workflows • Ability to write clear, actionable defect reports

referred Qualifications • AI / ML testing or LLM output validation • Dynatrace or observability tools • Performance and load testing experience • Automotive or manufacturing environment • ISTQB or formal QA certification

#INDOEM #QAEngineer #TestAutomation #GCP #APITesting #CloudQA #SDET #AutomationTesting #UAT #Jira #IntegrationTesting

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