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QA Automation Engineer – Selenium, API, Appium

@ Astra North Infoteck Inc.

Vancouver, British Columbia

Full-time7+ years experience
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Overview

Astra North Infoteck Inc. is hiring a QA Automation Engineer in Vancouver, BC, on a hybrid schedule with 3 days per week in the office. The role leads test automation strategy and framework design across web, API and mobile, and requires 7+ years of experience.

Responsibilities:

  • Own test automation strategy and framework design
  • Build and optimize automation scripts and frameworks
  • Adopt AI-assisted testing practices
  • Create standard frameworks for functional and performance testing
  • Work with QA and development teams to resolve technical issues

Requirements summary:

  • 7+ years of automation testing experience
  • Hands-on experience with Selenium, Playwright and Appium
  • Programming in Java, C#, Python or JavaScript
  • CI/CD experience with Jenkins, Azure DevOps or GitHub Actions
  • Experience with REST, SOAP, JSON and XML
  • Use of AI/GenAI tools for testing

Tools & skills

Source and dates

Source type not verified · zoho

Employer posting date
2026-09-27
First seen by our source
2026-10-11
Source record updated
2026-10-11

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentSoftware development
Experience7+ years
Hours per week40 (estimated)
Travelair: none · ground: none
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish

Summary and details written by AI from the posting; the employer’s posting is the authority.

Astra North Infoteck Inc.

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Job description

QA Automation Engineer – Automation Testing | API Testing | AI-Assisted Testing

Vancouver, BC - Hybrid (3 - Days WFO)

Experience Required: 7+ yrs

REQUIRED SKILLS:

• Thorough understanding and hands-on experience in developing and enhancing automation testing frameworks, including web, API, and AI-assisted test automation.

• Experience using mobile automation tools such as Appium, Robot framework, or similar platforms.

• Good knowledge of OOPS programming concepts and experience in Java, .NET, C#, Python, or JavaScript.

• Expertise in implementing QA CI/CD pipelines using Jenkins, Azure DevOps, GitHub Actions, or similar tools.

• Demonstrated skill in using coding standards and being an active participant in code reviews.

• Expert in automation frameworks such as JUnit, TestNG, Selenium, Playwright and API-level test automation.

• Experience with web service technologies such as XML, REST, SOAP, and JSON.

• Knowledge and practical experience leveraging AI/GenAI tools (e.g., GitHub Copilot, ChatGPT, Azure AI) to improve test design, test automation, defect analysis, and productivity.

• Experienced in implementing testing and QA frameworks using Agile methodologies.

ADDITIONAL SKILLS:

• Knowledge of Performance Testing, performance tuning, workload modelling based on requirements, and supporting performance testing initiatives.

• Understanding of testing AI-enabled applications, intelligent automation, and data-driven quality assurance practices.

• Strong troubleshooting and root cause analysis abilities.

• Knowledge of Cloud technologies and modern application architectures.

• Passion for achieving excellence in technical, process, product quality, and reliability.

• Must be highly detail-oriented, technology-focused, and possess excellent communication skills.

RESPONSIBILITIES:

• Own and lead the test automation strategy, framework design, test planning, and execution activities across products and platforms.

• Support automation script development, framework optimization, and adoption of AI-assisted testing practices.

• Recommend new tools, technologies, AI capabilities, techniques, and methodologies to enhance productivity and quality.

• Create and maintain standard frameworks for Functional Automation, Performance Testing, and intelligent test automation.

• Work with QA and development teams to resolve technical issues and improve overall product quality.

• Leverage AI-based tools and insights to improve test coverage, defect detection, regression efficiency, and reporting.

• Respond appropriately and competently to work challenges when confronted with changes, ambiguity, adversity, and other pressures.


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