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Xsight Labs

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QA & Automation Engineer

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Summary

Build and maintain test automation infrastructure for embedded systems at Xsight Labs: develop automation libraries in Python/PyTest on Linux, create test plans and end-to-end test cycles, and integrate automated tests into CI/CD pipelines. Based in Haifa/Tel Aviv area, on-site.

LI-DNI

Location – Haifa / Tel Aviv

About the Role

  • As a QA & Automation Engineer in our growing Automation & QA team, you will define, design and implement test automation infrastructure. Develop and maintain automation libraries the supports tests. Create and maintain test plans, test cases, and validation procedures. Support and resolve automation execution issues and bugs


Position Scope

Collaborate with stakeholders to collect automation and test requirements. Integrate automated tests into CI/CD pipelines and ensure reliable execution.

Improve automation infrastructure, tools, and processes. Reuse smartly existing infrastructure and codebase

Requirements

LI-DNI

Required Experience

  • 2+ years’ experience.
  • Experience with building and maintaining automation infrastructure in embedded environment.
  • Experience with complex embedded setups that include multiple devices and embedded DUT.
  • Good familiarity with Linux, Python, Automation tools specifically PyTest
  • Proven experience in developing test plans and executing end-to-end test cycles.
  • Previous work with Atlassian (JIRA, Confluence) – Advantage
  • Previous work with git, Jenkins, dockers, containers – Advantage
  • Previous experience with REST API client / server, DBs - Advantage

Required Skills

  • Good communication skills, structured and detailed.
  • Excellent technical problem-solving and debugging abilities
  • Self-driven, fast learner comfortable working in complex, low-level systems
  • Ownership mindset with ability to drive issues from root cause to resolution
  • Support oriented, collaborative.
  • A team player - sharing knowledge and supporting cross functional partners to ensure high quality product delivery

Education

  • Bachelor’s degree in computer science, Software Engineering, or a related technical field.

Skills

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