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Software QA Engineer

Artech · San Diego, CA

Strong hiring record · median 4 days open

100100

Hiring signal

Actively hiring

Posted 6 days ago · still listed on the employer's own board · How we score

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In its favour

  • Posted 6 days ago
  • Still listed on the employer's own board

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Software QA Engineer at Artech. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Our client in San Diego seeks a Test Engineer with 2+ years of manual and automated testing, strong Python scripting, hardware/software integration, E2E testing, exploratory testing, log analysis, debugging, data pipelines, and data validation experience.

For further details about the position please contact Lakshmi Rampally at lrampally@ryzen.com

Location

San Diego

Role

Software QA & Automation Engineer

Location

San Diego, CA

Key Qualifications

  • 2+ years of professional experience in hands-on manual and automated testing across software and/or hardware integration, with proven skill in designing and executing end-to-end test plans.
  • Strong hands-on testing intuition: Experience conducting exploratory, ad-hoc, and user-scenario testing directly on devices and test benches to surface subtle edge cases that automated tests miss.
  • 2+ years of coding and debugging experience in Python, with an emphasis on test automation, tooling, or data processing.
  • Demonstrated debugging & root-cause analysis skills: Skilled at parsing system logs, triaging regressions, and driving complex issues to resolution cross-functionally.
  • Experience with data pipelines and automation: Familiarity with building, maintaining, or validating automated workflows, test harnesses, or batch processing pipelines.
  • Exposure to data collection and curation: Experience executing data collection protocols, verifying data integrity, and curating technical/sensor datasets.
  • High autonomy and precision: Self-starter capable of managing competing priorities independently, with meticulous attention to detail and data integrity.
  • Strong communication skills: Ability to clearly document reproduction steps, triage findings, and present quality risks to engineering stakeholders.

Skills

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