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QE​/SDET - QSR Intelligence RMT

Job in Saint Paul, Ramsey County, Minnesota, 55199, USA
Listing for: Turnberry Solutions
Full Time position
Listed on 2026-05-10
Job specializations:
  • Software Development
    DevOps, Software Testing, Software Engineer
Salary/Wage Range or Industry Benchmark: 105000 - 150000 USD Yearly USD 105000.00 150000.00 YEAR
Job Description & How to Apply Below

Duration: 6+ Months

Location: MN-St. Paul, Hybrid 1-2 days onsite

Overview

Every Turnberry consultant belongs to a practice, an internal group of consultants and leaders with shared experience and expertise. Each of these practices aligns to one of the core services Turnberry offers to clients. As a QE/SDET - QSR Intelligence RMT, you will join Turnberry's Digital Modernization practice, where technology and strategy combine to deliver exceptional digital experiences, empowering organizations to thrive in today's digital market.

Responsibilities
  • Own the test automation strategy across unit, integration, API, and end-to-end layers in a greenfield Azure-hosted application
  • Design, build, and maintain a Playwright-based end-to-end test suite covering critical user journeys and regression scenarios
  • Write API-level tests against .NET Web API endpoints, validating request/response contracts, error conditions, and edge cases
  • Collaborate with developers during story refinement to define testable acceptance criteria and establish test coverage expectations before development begins
  • Integrate automated test execution into Azure Dev Ops CI/CD pipelines, including gate configuration and failure triage ownership
  • Develop and maintain test data strategies that support repeatable, deterministic automated test execution across environments
  • Contribute to shift-left quality practices: participate in design reviews, flag testability gaps in proposed architectures, and influence how features are structured for observability
  • Perform exploratory testing on new features prior to sprint completion, surfacing defects that automated suites do not yet cover
  • Maintain test reporting and communicate quality metrics to the team and stakeholders in a format that supports informed release decisions
  • Evaluate and introduce AI-assisted tooling for test generation, coverage gap analysis, or defect pattern identification where it adds measurable value
Qualifications
  • 7 or more years of professional quality engineering or SDET experience in an application development environment
  • Hands‑on proficiency with Playwright for end‑to‑end browser automation, including test architecture, fixture management, and CI integration
  • Demonstrated ability to write and maintain API‑level tests against RESTful services, with an understanding of HTTP contracts, status codes, and response validation
  • Working familiarity with C# and .NET sufficient to read, understand, and contribute to unit and integration test code in a .NET codebase
  • Familiarity with Angular application architecture sufficient to write stable, resilient UI tests that are not brittle to implementation changes
  • Experience integrating automated test suites into CI/CD pipelines, including Azure Dev Ops Pipelines or equivalent
  • Experience designing test data strategies for automated testing across multiple environments, including approaches to setup, teardown, and isolation
  • Understanding of test pyramid principles and the ability to make deliberate trade‑offs between unit, integration, and end‑to‑end coverage
  • Comfort working in a small, cross‑functional Agile scrum team with shared ownership of quality as a team responsibility
  • Experience with Git‑based source control and pull request workflows, including peer review of test code
Preferred Qualifications
  • Experience with performance and load testing tooling (k6, Azure Load Testing, or equivalent) integrated into a CI/CD pipeline
  • Familiarity with accessibility testing practices and tooling within a web application context
  • Exposure to contract testing patterns (e.g., Pact) for validating API consumer and provider compatibility
  • Experience with Azure‑native monitoring and observability tooling (Application Insights, Azure Monitor) as a complement to test coverage
  • Active use of AI‑assisted tooling in a quality engineering context, such as AI‑assisted test case generation, coverage analysis, or natural language to test script workflows
  • Experience contributing to a quality engineering practice definition, including documentation of standards, tooling decisions, and onboarding guidance for engineering teams

The salary range for this role is $105,000 to $150,000 or the hourly…

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