Software Test Engineer, Google Cloud Infrastructure

Google
Full_timeTaipei, Taiwan

📍 Job Overview

  • Job Title: Software Test Engineer, Google Cloud Infrastructure
  • Company: Google
  • Location: Taipei, Taiwan
  • Job Type: On-site
  • Category: Quality Assurance & Testing
  • Date Posted: June 23, 2025
  • Experience Level: Mid-level (2-5 years)

🚀 Role Summary

  • Develop and implement test strategies for Google Cloud Infrastructure projects.
  • Automate test procedures and improve testing processes.
  • Collaborate with cross-functional teams to ensure software product design, testability, and usability.
  • Define test plans, manage test execution, and analyze results.
  • Identify gaps, risks, and suggest process improvements in data center workflows guided by software systems.

📝 Enhancement Note: This role focuses on test automation and process improvement, making it ideal for experienced test engineers seeking to grow their careers in a dynamic, large-scale environment.

💻 Primary Responsibilities

  • Test Strategy & Planning: Define test strategies, lead test plan development, and manage test execution.
  • Process Improvement: Identify gaps and risks in data center workflows, suggest improvements, and advocate for best practices.
  • Test Automation: Develop and maintain automated test procedures and scenarios using tools like Selenium, pytest, and JUnit.
  • Collaboration: Work with technical and non-technical stakeholders to influence software product design, testability, and usability.
  • Quality Analysis: Analyze test results, communicate findings to stakeholders, and contribute to product deployment.

📝 Enhancement Note: This role requires strong collaboration skills, as you'll work with various teams to ensure the quality and usability of Google Cloud Infrastructure products.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Electrical Engineering, or a related field. Preferred: Master's or PhD degree.

Experience: 3+ years of experience in coding, developing test methodologies, writing test plans, creating test cases, and debugging. Preferred: Experience working on data center products and software systems.

Required Skills:

  • Proficiency in at least one programming language (Python, Java, C++).
  • Experience with test automation frameworks and tools (Selenium, pytest, JUnit).
  • Strong debugging and troubleshooting skills.
  • Knowledge of software development lifecycle and different testing methodologies.

Preferred Skills:

  • Experience with data center products and software systems.
  • Understanding of interconnected software systems that interact with hardware.
  • Ability to work with stakeholders in a fast-paced environment.
  • Passion for quality and automation, demonstrated by a record of helping deliver software product features/consumer devices.

📊 Web Portfolio & Project Requirements

  • Test Automation Projects: Demonstrate experience in creating and maintaining automated test scripts using relevant tools and frameworks.
  • Test Plans & Documentation: Showcase your ability to define test strategies, plans, and cases for various projects.
  • Collaboration & Communication: Highlight your experience working with cross-functional teams and stakeholders to ensure software quality and usability.
  • Problem-Solving: Provide examples of identifying gaps, risks, and suggesting process improvements in testing workflows.

📝 Enhancement Note: As this role focuses on test automation and process improvement, your portfolio should emphasize your technical skills and problem-solving abilities in testing scenarios.

💵 Compensation & Benefits

Salary Range: NT$700,000 - NT$1,200,000 per year (Based on market research and Glassdoor data for Software Test Engineer roles in Taipei, Taiwan)

Benefits:

  • Competitive health, dental, and vision insurance.
  • Generous retirement plan with company match.
  • Free meals, snacks, and beverages on-site.
  • On-site gym, fitness classes, and wellness programs.
  • Generous time-off policies, including vacation, sick leave, and holidays.
  • Maternity and paternity leave policies.
  • Tuition reimbursement and professional development opportunities.
  • Employee discounts on Google products and services.

Working Hours: Full-time (40 hours/week) with flexible working hours and occasional overtime as needed for project deadlines and maintenance windows.

📝 Enhancement Note: Salary and benefits information is based on market research and may vary depending on the candidate's experience and qualifications.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, with a focus on cloud computing and data center infrastructure.

Company Size: Large (over 100,000 employees worldwide), with a decentralized team structure and a strong emphasis on collaboration and innovation.

Founded: 1998, with a rich history of technological advancements and industry disruption.

Team Structure:

  • Large, cross-functional teams consisting of software engineers, test engineers, product managers, and designers.
  • Flat hierarchy with a focus on agile methodologies and self-organizing teams.
  • Strong emphasis on collaboration, communication, and continuous learning.

Development Methodology:

  • Agile/Scrum methodologies with sprint planning, daily stand-ups, and regular retrospectives.
  • Code reviews, testing, and quality assurance practices to ensure software reliability and performance.
  • Deployment strategies, CI/CD pipelines, and automated testing for efficient and secure software delivery.

Company Website: Google Careers

📝 Enhancement Note: Google's company culture emphasizes innovation, collaboration, and user-centric design, making it an ideal environment for test engineers seeking to grow their careers in a dynamic, large-scale environment.

📈 Career & Growth Analysis

Web Technology Career Level: Mid-level (2-5 years) test engineer role, with opportunities for growth into senior roles, technical leadership, or specialized testing domains.

Reporting Structure: Typically reports to a Test Manager or Engineering Manager, with opportunities to collaborate with various teams, including software engineers, product managers, and designers.

Technical Impact: This role has a significant impact on the quality, reliability, and performance of Google Cloud Infrastructure products, ensuring that they meet the high standards expected by Google's global user base.

Growth Opportunities:

  • Technical Growth: Deepen your expertise in test automation, software quality assurance, and data center infrastructure.
  • Leadership Growth: Develop your leadership skills by mentoring junior team members, driving process improvements, and influencing cross-functional teams.
  • Specialization Growth: Explore specialized testing domains, such as security testing, performance testing, or accessibility testing.

📝 Enhancement Note: As a test engineer at Google, you'll have ample opportunities to grow your technical skills, leadership capabilities, and expertise in specialized testing domains.

🌐 Work Environment

Office Type: Modern, collaborative workspaces with an emphasis on employee well-being, comfort, and productivity.

Office Location(s): Taipei, Taiwan, with opportunities for remote work and collaboration with global teams.

Workspace Context:

  • Open, collaborative workspaces with ample natural light, comfortable seating, and modern amenities.
  • Access to multiple monitors, testing devices, and development tools for efficient work.
  • Regular team-building activities, social events, and wellness programs to foster a strong company culture.

Work Schedule: Full-time (40 hours/week) with flexible working hours and occasional overtime as needed for project deadlines and maintenance windows.

📝 Enhancement Note: Google's work environment emphasizes collaboration, comfort, and employee well-being, creating an ideal setting for test engineers to thrive and grow their careers.

📄 Application & Technical Interview Process

Interview Process:

  1. Phone Screen: A brief conversation with a hiring manager or recruiter to discuss your qualifications and fit for the role.
  2. Technical Phone Screen: A technical assessment focused on your problem-solving skills, debugging abilities, and knowledge of testing methodologies.
  3. On-site Interview: A series of interviews with team members, including a technical deep dive, behavioral questions, and a case study presentation.
  4. Final Interview: A conversation with the hiring manager or a senior team member to discuss your fit for the role and the team.

Portfolio Review Tips:

  • Highlight your experience in test automation, process improvement, and collaboration with cross-functional teams.
  • Showcase your ability to define test strategies, plans, and cases for various projects.
  • Demonstrate your problem-solving skills and ability to identify gaps, risks, and suggest improvements in testing workflows.

Technical Challenge Preparation:

  • Brush up on your debugging skills and knowledge of testing methodologies.
  • Practice coding challenges and problem-solving exercises to hone your technical skills.
  • Familiarize yourself with Google's products, services, and company culture to demonstrate your enthusiasm and cultural fit.

ATS Keywords:

  • Test Automation, Debugging, Test Methodologies, Test Plans, Test Cases, Selenium, Pytest, JUnit, Python, Java, C++, Software Development Lifecycle, Quality Assurance, Data Center Products, Stakeholder Communication, Process Improvement.

📝 Enhancement Note: The interview process for this role focuses on assessing your technical skills, problem-solving abilities, and cultural fit, with a strong emphasis on test automation and process improvement.

🛠 Technology Stack & Web Infrastructure

Testing Tools:

  • Selenium, pytest, JUnit, and other relevant testing frameworks and tools.
  • Google's internal testing tools and platforms.

Programming Languages:

  • Python, Java, C++, and other relevant programming languages.

Infrastructure Tools:

  • Google Cloud Platform (GCP) tools and services for data center infrastructure management.
  • Google's internal tools and platforms for software development, testing, and deployment.

📝 Enhancement Note: As a test engineer at Google, you'll work with a diverse set of testing tools, programming languages, and infrastructure tools to ensure the quality and reliability of Google Cloud Infrastructure products.

👥 Team Culture & Values

Testing Values:

  • Quality Focus: A strong commitment to ensuring the quality, reliability, and performance of Google's products and services.
  • Innovation: A passion for exploring new testing methodologies, tools, and techniques to improve software quality.
  • Collaboration: A dedication to working closely with cross-functional teams to ensure software testability, usability, and deployment.
  • Continuous Learning: A commitment to staying up-to-date with the latest testing trends, best practices, and emerging technologies.

Collaboration Style:

  • Cross-Functional Integration: Close collaboration with software engineers, product managers, and designers to ensure software quality and usability.
  • Code Review Culture: Regular code reviews and peer programming practices to ensure software reliability and performance.
  • Knowledge Sharing: Regular team meetings, workshops, and training sessions to foster a culture of continuous learning and improvement.

📝 Enhancement Note: Google's testing culture emphasizes quality, innovation, collaboration, and continuous learning, creating an ideal environment for test engineers to grow their careers and make a significant impact on Google's products and services.

⚡ Challenges & Growth Opportunities

Technical Challenges:

  • Scale & Complexity: Working with Google's massive codebase and complex infrastructure to ensure software quality and reliability at scale.
  • Speed & Agility: Balancing the need for thorough testing with the need to deliver software quickly and efficiently in a fast-paced environment.
  • Innovation: Staying up-to-date with the latest testing trends, tools, and techniques to drive continuous improvement in software quality.

Learning & Development Opportunities:

  • Technical Training: Access to Google's extensive library of technical training resources, including online courses, workshops, and webinars.
  • Conferences & Events: Opportunities to attend industry conferences, events, and meetups to network with other testing professionals and learn about emerging trends and best practices.
  • Mentorship & Coaching: Access to mentors and coaches within Google to help you develop your technical skills, leadership capabilities, and career growth.

📝 Enhancement Note: As a test engineer at Google, you'll face technical challenges related to scale, speed, and innovation, but you'll also have ample opportunities for learning, growth, and development in a dynamic and supportive environment.

💡 Interview Preparation

Technical Questions:

  • Problem-Solving: Be prepared to discuss your approach to debugging, troubleshooting, and problem-solving in testing scenarios.
  • Testing Methodologies: Demonstrate your knowledge of different testing methodologies, tools, and frameworks, and explain how you've applied them in previous roles.
  • Process Improvement: Showcase your ability to identify gaps, risks, and suggest improvements in testing workflows, and provide examples of successful process improvement initiatives.

Company & Culture Questions:

  • Google's Products & Services: Demonstrate your understanding of Google's products and services, and explain how you can contribute to their quality and reliability.
  • Testing Culture: Explain your approach to testing in a large-scale, dynamic environment, and how you've adapted your testing strategies to meet the needs of different projects and teams.
  • Collaboration & Communication: Describe your experience working with cross-functional teams, and provide examples of how you've influenced software design, testability, and usability through effective communication and collaboration.

Portfolio Presentation Strategy:

  • Test Automation Projects: Highlight your experience in creating and maintaining automated test scripts, and explain how you've used them to improve software quality and efficiency.
  • Test Plans & Documentation: Showcase your ability to define test strategies, plans, and cases for various projects, and explain how you've used them to ensure software quality and usability.
  • Problem-Solving & Process Improvement: Provide examples of identifying gaps, risks, and suggesting improvements in testing workflows, and explain how you've driven process improvement initiatives in previous roles.

📝 Enhancement Note: The interview process for this role focuses on assessing your technical skills, problem-solving abilities, and cultural fit, with a strong emphasis on test automation, process improvement, and collaboration with cross-functional teams.

📌 Application Steps

To apply for this Software Test Engineer, Google Cloud Infrastructure position:

  1. Resume Optimization: Tailor your resume to highlight your relevant testing experience, technical skills, and problem-solving abilities. Include specific examples of test automation, process improvement, and collaboration with cross-functional teams.
  2. Portfolio Preparation: Curate a portfolio that showcases your experience in test automation, process improvement, and collaboration with cross-functional teams. Include specific examples of test plans, test cases, and successful testing initiatives.
  3. Technical Interview Preparation: Brush up on your debugging skills, knowledge of testing methodologies, and problem-solving abilities. Practice coding challenges and prepare for technical deep dives, case study presentations, and behavioral questions.
  4. Company Research: Research Google's products, services, and company culture to demonstrate your enthusiasm and cultural fit. Prepare thoughtful questions to ask during the interview process.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and testing industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Application Requirements

Candidates must have a Bachelor's degree and 3 years of relevant experience, including coding and test automation. Preferred qualifications include advanced degrees and experience with data center products and software systems.