Software Test Engineer with Clarity CRM

Shree Narayani Networking Solutions•Atlanta, GA
•Hybrid

About The Position

We are seeking an experienced Software Test Engineer with strong expertise in telecommunications BSS/OSS systems and hands-on experience with Clarify CRM. The role focuses on functional, integration, regression, interface, and API testing in telecom environments, including validating end-to-end order journeys and workflows within Amdocs Clarify CRM. Candidates must be willing to work onsite in Atlanta, Georgia, at least three days per week. The posting states a maximum rate of $50 per hour on C2C, potentially more for an exceptional candidate.

Requirements

  • At least 7 years of experience in software testing.
  • Mandatory hands-on experience with Clarify CRM.
  • Strong understanding of Telecom BSS/OSS architecture and business processes.
  • Proficiency in SQL and database validation.
  • Experience in API, interface, integration, and regression testing.
  • Experience preparing test plans and test strategy documents.
  • Strong analytical, troubleshooting, and communication skills.
  • Practical experience using AI tools in software testing.
  • Willingness to work onsite in Atlanta, Georgia, at least three days per week.

Nice To Haves

  • Experience with test automation frameworks.
  • Experience in telecom CRM migration or modernization projects.
  • Familiarity with Agile methodologies.

Responsibilities

  • Design, develop, and execute test plans, test strategies, and test cases for BSS/OSS applications.
  • Validate end-to-end order journeys and workflows within Amdocs Clarify CRM.
  • Perform functional, integration, regression, interface, and API testing.
  • Use SQL queries to identify, validate, and troubleshoot migrated test data.
  • Collaborate with development teams to understand requirements and ensure comprehensive test coverage.
  • Conduct root cause analysis and log analysis to identify system defects.
  • Track, document, and manage defects using Jira, HP QC, or similar tools.
  • Prepare detailed test execution reports and quality metrics.
  • Use AI-powered testing tools to improve testing efficiency and quality.
  • Contribute to continuous improvement of QA processes and methodologies.
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