Related skills
azure aws sql python kubernetesπ 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.
π― Requirements
- 6β10 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 2β7 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.
π 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.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest β finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!