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QE Engagement Lead

InfiCare Technologies

 

Charlotte, NC, USA

Posted On: 3 days ago
Experience: 12+ years
Availability: Onsite
Openings: 1
Category: QE Lead
Tenure: Contract - Corp-to-Corp
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Description

Key Responsibilities


 

  • Act as the primary QA point of contact for client leadership; own weekly reporting and the escalation path
  • Establish coverage truth by assessing the existing test estate against real business processes and quarantining flaky or stale tests
  • Own the pre-migration baseline — full execution on the legacy platform with results, configuration, and data snapshots frozen
  • Own source-to-target data validation: record counts, schema mapping, transformation rules, referential integrity, null handling, stored procedure logic, and incremental loads
  • Extend the client's existing Azure DevOps CI/CD pipeline rather than standing up a parallel one
  • Design and execute functional, integration, API, and end-to-end test scenarios across Angular front ends, .NET services, and downstream integrations
  • Direct an offshore pod and review all output before it reaches the client
  • Apply AI-assisted QE with human-in-the-loop discipline

Required Skills


 

  • 12+ years in Software Testing / Quality Engineering, including 3+ years leading a client-facing QE engagement onsite
  • Demonstrable experience validating a platform or database migration (baseline establishment and parity proof)
  • Strong SQL — hands-on with SQL Server and PostgreSQL, including dialect differences (T-SQL vs PostgreSQL)
  • Hands-on ETL / source-to-target data reconciliation and complex validation SQL authoring
  • Test automation depth: Playwright, Selenium, or Cypress; API automation with REST Assured, Karate, Postman, or equivalent
  • Experience testing .NET / .NET Core back ends and Angular front ends
  • Hands-on Azure DevOps CI/CD pipeline integration and troubleshooting
  • Strong written communication skills — able to produce executive-level status reports
  • Eligibility and willingness to work onsite in the US

Preferred Skills


 

  • AWS experience including RDS, Lambda, S3, ECS/EKS, API Gateway, and CloudWatch
  • Exposure to AI-assisted testing tools: Kiro, GitHub Copilot, Claude Code, or similar
  • Familiarity with Tosca or other legacy commercial test tools
  • Observability tooling: Datadog, Splunk, CloudWatch
  • Performance, security, accessibility, and resilience testing experience
  • Domain exposure to food service, procurement, supply chain, or retail
  • Experience running a distributed onsite/offshore delivery model

Education

Any Gradute

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