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Quality Assurance Tester (Dx Tester) Job in Mendota Heights, MN

Job in Saint Paul, Dakota County, Minnesota, 55120, USA
Listing for: Robert Half
Full Time position
Listed on 2026-08-17
Job specializations:
  • Quality Assurance - QA/QC
    IT QA Tester / Automation
  • IT/Tech
    IT QA Tester / Automation
Job Description & How to Apply Below
Position: Quality Assurance Tester (Dx Tester) Job in Mendota Heights, MN | Robert Half
Location: Saint Paul

Quality Assurance Tester

We are looking for an experienced Quality Assurance Tester to support enterprise application quality efforts. This position will focus on building confidence in new and updated system capabilities through thoughtful test planning, hands-on validation, and close coordination with cross-functional teams. The role is well suited for someone who can assess risk, uncover defects early, and help ensure stable releases across integrated business systems.

Responsibilities:

  • Drive end-to-end quality activities for enterprise systems, from initial test approach through final release verification and post-deployment follow-up.
  • Develop and maintain organized test assets in Azure Dev Ops, including test scenarios, detailed cases, execution records, and traceability to requirements.
  • Work closely with product, business, and technical teams to turn functional needs into practical, risk-based test coverage.
  • Execute a range of testing efforts such as functional, integration, regression, smoke, exploratory, end-to-end, and user acceptance validation.
  • Record, prioritize, and retest defects using Azure Dev Ops, Jira, or comparable tools while partnering with developers to confirm root causes and fixes.
  • Evaluate APIs, data flows, reporting outputs, security access, workflows, and system dependencies to confirm reliable performance across connected platforms.
  • Contribute to Agile planning sessions, release readiness reviews, and go/no-go recommendations by providing clear quality metrics and risk insight.
  • Support test data preparation, environment readiness, and release validation activities to help ensure smooth deployment outcomes.
  • Help strengthen regression coverage and contribute to automation planning for high-value business processes.
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