Added
18 days ago
Type
Full time
Salary
Salary not provided

Related skills

azure aws sql python kubernetes

πŸ“‹ Description

  • Automation strategy for API, service-layer, and data validation testing.
  • Expand backend automated regression for ingestion, normalization, and reporting accuracy.
  • Validation of multi-vendor discovery workflows (network + cloud).
  • Risk-based release readiness assessments.
  • Design and maintain lab environments (virtualized, hybrid, cloud).
  • Early engagement with Engineering to improve testability and prevent defects.

🎯 Requirements

  • 6–10 years of Quality Engineering in complex enterprise software.
  • Strong automation development experience (Python preferred).
  • Experience testing APIs, backend services, and data transformation pipelines.
  • Experience integrating automated tests into CI/CD workflows.
  • Solid networking fundamentals (Layer 2–7 protocols).
  • Comfortable validating data at the database level (SQL experience preferred).
  • Ability to trace data flows across services and diagnose inconsistencies.
  • Strong cross-functional collaboration skills.

🎁 Benefits

  • High-impact cybersecurity product work.
  • Clear ownership of a focused product domain.
  • Opportunity to shape automation strategy and quality maturity.
  • Remote flexibility and cross-functional visibility.
  • Technical depth without management overhead.
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