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Google Automation Engineer Jobs (NOW HIRING)

C5T Corporation

IL · On-site

$75K - $85K/yr

Software Test Automation Engineer The Opportunity This role works directly with USTRANSCOM ... Perform Section 508 accessibility testing using Accessibility Developer Tools (ANDI), Google ...

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Google Automation Engineer information

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$37K

$107.1K

$163K

How much do google automation engineer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for google automation engineer in the United States is $107,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $123,500.00 per year, depending on experience, location, and employer.

What is a Google Automation Engineer job?

A Google Automation Engineer is responsible for designing, developing, and maintaining automated solutions to streamline processes, improve efficiency, and reduce manual effort. They work with programming languages, scripting, and automation tools to optimize workflows in areas like testing, infrastructure management, and deployment. This role requires strong problem-solving skills, knowledge of cloud computing, and expertise in automation frameworks. Automation Engineers collaborate with various teams to ensure scalable, reliable, and secure automated systems.

What are the key skills and qualifications needed to thrive in the Google Automation Engineer position, and why are they important?

To thrive as a Google Automation Engineer, you need expertise in programming, scripting languages (like Python or Java), and a solid understanding of automation frameworks and software development principles, typically supported by a relevant bachelor's degree. Hands-on experience with tools such as Selenium, Jenkins, Google Cloud Platform, and CI/CD systems, as well as certifications like Google Professional Cloud DevOps Engineer, are highly valued. Strong problem-solving, teamwork, and effective communication skills help engineers collaborate successfully across cross-functional teams. These abilities ensure efficient automation solutions, streamlined workflows, and continued innovation in dynamic tech environments.

What are typical challenges faced by Google Automation Engineers in their daily work?

Google Automation Engineers often encounter challenges such as ensuring their automation scripts scale efficiently as products evolve, troubleshooting complex system integrations, and keeping pace with the latest tools and technology updates. The role also involves frequent collaboration with developers, testers, and product managers, which requires strong communication skills and adaptability to shifting project priorities. Staying proactive in learning and leveraging new automation practices is key to succeeding and advancing in this dynamic role. This makes the work both stimulating and an excellent opportunity for professional growth within Google’s innovative environment.

More about Google Automation Engineer jobs
What cities are hiring for Google Automation Engineer jobs? Cities with the most Google Automation Engineer job openings:
What states have the most Google Automation Engineer jobs? States with the most job openings for Google Automation Engineer jobs include:
What job categories do people searching Google Automation Engineer jobs look for? The top searched job categories for Google Automation Engineer jobs are:
Google Automation Engineer jobs near you
Infographic showing various Google Automation Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $107,126 per year, or $51.5 per hour.

QA Automation Engineer_C2C/W2

Aziro Technologies LLC

San Jose, CA • On-site

Other

Posted 21 days ago

Job description

Job Title: Senior QA Automation Engineer

Location: San Jose, CA - Hybrid

Duration: Contract

 W2/C2C can work

About the Role

We are seeking a highly skilled Senior QA Automation Engineer to join a fast-paced, startup-oriented team building a next-generation Revenue Intelligence Platform. The platform centralizes, cleans, and enriches revenue data from multiple sources to enable strategic decision-making across Sales, Finance, and RevOps teams.

The ideal candidate will have strong experience in both manual and automation testing, with expertise in distributed systems, microservices architectures, API testing, and cloud-native environments.

 

Key Responsibilities

  • Design, develop, and maintain automated test frameworks for web applications, APIs, and microservices.
  • Perform end-to-end testing across distributed systems running on Kubernetes and Google Cloud Platform.
  • Validate integrations with Salesforce, HubSpot, Google/Outlook Calendar, Slack, and third-party APIs.
  • Develop and execute API test suites using Postman, Python, and automation frameworks.
  • Collaborate with Product, Engineering, and DevOps teams to ensure high-quality releases.
  • Participate in Agile ceremonies, including sprint planning, stand-ups, retrospectives, and backlog refinement.
  • Create and maintain test plans, test cases, test data, and automation scripts.
  • Perform integration, regression, smoke, and performance testing.
  • Identify, troubleshoot, and resolve issues related to microservices, APIs, databases, and distributed systems.
  • Contribute to CI/CD pipelines and shift-left testing initiatives.
  • Support AI feature validation and testing for native AI-powered capabilities.

 

Required Qualifications

  • 5+ years of experience in QA engineering with strong manual and automation testing expertise.
  • Experience testing web-scale distributed systems and microservices architectures.
  • Hands-on experience with Selenium and test automation frameworks.
  • Strong API testing experience using Postman and Python.
  • Experience testing REST, SOAP, GraphQL, and third-party APIs.
  • Experience with Kubernetes, MongoDB, Temporal, and Google Cloud Platform (Google Cloud Platform).
  • Strong understanding of integration testing methodologies and test data management.
  • Experience working with Salesforce and/or HubSpot integrations.
  • Familiarity with CI/CD pipelines and Agile/Scrum environments.
  • Experience working in startup environments and building products from 0-to-1.

 

Preferred Qualifications

  • Experience with AI/ML feature validation.
  • Experience testing Slack, Google Workspace, Outlook, and call recording integrations.
  • Knowledge of performance testing and database optimization.
  • Familiarity with Golang-based applications.
 
 

Apply