Qtest technical product consultant

Qtest technical product consultant
Fulltime
Remote (United States)
Role summary
We are seeking a senior qTest Technical Product Consultant to drive the adoption, integration, and optimization of qTest as the core test management platform. The role ensures seamless interoperability with upstream and downstream systems, including Quality API, Test Harness, and Azure DevOps (ADO). The consultant will act as the platform authority, owning admin standards and making sound architectural decisions where qTest interacts with multiple tools.
Key responsibilities
Lead adoption and optimization of qTest as the enterprise test management platform
Design, implement, and support integrations between qTest and Quality API, Test Harness, ADO, and other connected tools
Own qTest administration: user/project/role setup, configuration, and governance
Define and enforce standards for API usage, webhook configuration, and data synchronization between qTest and connected systems
Assess qTest infrastructure and capacity (scalability, performance, API rate limits, data volumes) and recommend improvements
Make and defend design decisions on integration patterns, i.e., what works well when qTest interacts with multiple systems
Partner with EQE+ teams to troubleshoot integration issues, optimize data pipelines, and ensure data integrity across systems
Drive change management with stakeholders, including those resistant to the transformation
Produce documentation, runbooks, and best-practice guides; mentor admins and teams
Required skills
8+ years in QA/test management, with 4+ years of hands-on qTest (Tricentis) administration and product consulting
Deep knowledge of qTest architecture, infrastructure, and capacity planning
Strong experience with qTest APIs, webhooks, and Quality API integrations
Hands-on integration experience with Azure DevOps (work items, pipelines, defect sync)
Experience with Test Harness or similar execution and results-reporting frameworks
Strong working knowledge of data synchronization, ETL/data pipelines, and data integrity validation
Scripting skills (Python, JavaScript, or PowerShell) and REST/JSON expertise
Proven ability to troubleshoot complex multi-tool integration issues
Excellent communication