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Jobs in Singapore   »   Jobs in Singapore   »   Quality Assurance / Control Job   »   Test Automation Engineer
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Test Automation Engineer

Elliott Moss Consulting Pte. Ltd.

Elliott Moss Consulting Pte. Ltd. company logo
  • Develop and maintain automated test scripts using Selenium or Cypress frameworks.
  • Collaborate with software development and QA teams to understand testing requirements and develop appropriate test strategies.
  • Execute automated tests to validate software functionality, identify defects, and ensure high-quality deliverables.
  • Enhance automation frameworks to improve test coverage, efficiency, and reliability.
  • Analyze test results and provide meaningful insights to stakeholders regarding software quality.
  • Participate in code reviews, contribute to the improvement of coding standards, and share best practices with the team.
  • Stay updated on industry trends and advancements in automation technologies, incorporating relevant tools and practices into our testing processes.
  • Contribute to the continuous improvement of the software development lifecycle by advocating for automation and implementing efficient testing methodologies.
  • Knowledge of API testing and tools such as Postman or Swagger.
  • Familiarity with containerization technologies like Docker.
  • Experience working in Agile/Scrum environments.


Requirements:

  • Preferably more than 5 years of experience as a automation testing using Selenium and Cypress frameworks.
  • Strong proficiency in programming languages such as JavaScript, or Python.
  • Experience with web technologies including HTML, CSS.
  • Familiarity with version control systems (e.g., Git) and continuous integration tools (e.g., Jenkins).
  • Solid understanding of software testing principles, methodologies, and best practices.
  • Excellent problem-solving skills and attention to detail.
  • Effective communication skills with the ability to collaborate and coordinate with cross-functional teams.
  • Self-motivated with a passion for continuous learning and improvement.


Preferred Qualifications:

Bachelor's degree in Computer Science, Engineering, or related field.

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