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Software Engineer in Test Automation / QE Engineering

Openkyber

 

Austin, TX, USA

Posted On: 30+ days ago
Experience: 10+ years
Availability: Onsite
Openings: 1
Category: Software Engineer In Test
Tenure: No Preference/Any
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Description

You design, build, and maintain scalable automation frameworks for UI, API, integration, regression, and smoke testing. You own critical-path UI automation for key agent workflows while prioritizing API and integration layer coverage for speed and signal quality. You integrate automated tests into CI/CD pipelines to improve deployment safety and release confidence.

This role is hybrid.

Responsibilities

  • Build automated validation coverage for backend services, APIs, and end-to-end workflows supporting CS Tech experiences.
  • Debug failures and product issues across UI interactions, network calls, APIs, and dependent services.
  • Improve test reliability, suite execution time, and automation maintainability through strong engineering practices.
  • Partner with engineers and product managers to define practical test strategy early in the delivery lifecycle.
  • Support release validation, defect prevention, and root-cause analysis for complex quality issues.

Required Skills

  • 4-7 years of experience in test automation, quality engineering, or SDET roles.
  • Strong programming skills in Java, Python, JavaScript, TypeScript, or Go.
  • Experience building and maintaining UI automation for modern web applications.
  • Strong experience testing backend APIs, including request/response and integration validation.
  • Experience developing automation frameworks and integrating them into CI/CD workflows.
  • Strong understanding of integration testing, regression strategy, and smoke coverage.
  • Experience working in Agile environments with Git-based workflows and code reviews.
  • BS/MS in Computer Science, Engineering, or equivalent practical experience.

Preferred Skills

  • Experience with customer support systems, workflow orchestration, or enterprise integrations.
  • Experience with cloud-native systems, Kubernetes, Docker, and distributed environments.
  • Familiarity with observability platforms using logs, metrics, traces, and alerting.

Education

Any Graduate

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