Automation Engineer Python, Bash shell, Git

Thiết Kế Hệ Thống Corsair · Hồ Chí Minh

Loại hình

Toàn thời gian

Hình thức

Tại văn phòng

Cấp bậc

Nhân viên

Ngành nghề

Kỹ thuật / Cơ khí

Mức lương

Từ 13tr

Địa điểm

Quận 3, Hồ Chí Minh, Hồ Chí Minh

Tổng quan

As an Automation Engineer, your mission is to support the team in completing test automation scripts for app and web applications, which could be simplified in some words:
Develop Test script and execute test script for levels under Test.
Collaborate with the team to organize data, maintain ongoing projects, and keep documentation clear and up to date.
Support the team in completing automation test scripts for application (app) and web testing.
Expectations:
Experience in software testing (e.g., using tools such as Selenium, Postman, TestRail/Qase, or Jenkins/GitLab CI).
Strong knowledge of PCs (especially gaming peripherals).
Proficiency in English communication.
Work with cross functional teams (in US and Taiwan).
Experience with mobile/web automation frameworks such as Appium or Playwright is a plus.
Responsible for:
Develop new Automation scripts for new and upcoming software projects.
Improve/update software automation test cases to current standards.
Able to handle project independently.

Not all skills below are required — we value strong fundamentals and a willingness to learn.
Technical Skills:
Comfortable scripting with Python and/or bash shell scripting.
Familiar with version control (git) and bug tracking tools (Jira, Qase).
Exposure to automation frameworks (Appium, Playwright, Selenium) or AI/ML libraries/APIs is a plus.
Soft Skills:
Problem-solving and attention to detail.
Strong collaboration and communication skills.
Adaptability and ownership in handling tasks independently.
Experience:
Experience in software testing or automation projects (academic, personal, or professional).
Nice-to-Have:
Familiarity with AI coding assistants (e.g., Claude, Gemini, Codex/Copilot) to write, review, or debug scripts.
Using AI to assist with test case generation, test data creation, or analyzing test logs/results.
Basic knowledge of AI models or local/on-device AI.
Applying AI to hardware-based testing (e.g., Arduino, STM32, Raspberry Pi).
Awareness of responsible/ethical AI use.
Python, Appium, Jira, Git, Automation Test, Bash Shell, Fresher Accepted

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