Technical Operations Engineer

Minimum qualifications:

• Bachelor’s degree in Computer Science, or equivalent practical experience.
• 3 years of experience in system administration.
• Experience with one or more scripting languages (e.g., Python or Go).
• Experience in managing operating system environments (e.g., Linux)

Preferred qualifications:

• Experience in pipeline management, docker, GKE networking, data center operations, and storage servers.
  
  

Technical support for a technology company is a big task. As the Corporate Operations Engineer within the IT Support Technician team, your mission is to enable the people and technology that keep Google running. Your team provides the front line user support for all of our internal tools and technologies. Beyond the day-to-day, the team will contribute to longer-term technical projects, process improvement and the documentation efforts that help make the Google magic happen.

For decades, the computing revolution has reshaped our world driven by breakthroughs in compute, connectivity, mobile, and now, AI. Google's Extended Reality (XR) team is at the forefront of the next major leap the convergence of AI and XR. This is more than just new devices it's about reimagining how we interact with the world around us. We're building a future where lightweight XR devices pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.

The US base salary range for this full-time position is $115,000-$166,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

• Manage a heterogeneous fleet of servers (RHEL/CentOS/Ubuntu and operating system server 2016/2019/2022/2025). Perform advanced troubleshooting on kernel panics, memory leaks, and I/O bottleneck.
• Architect and support Google Cloud Platform resources (compute engine, Google Kubernetes Engine (GKE), cloud storage).
• Lead the transition from manual configuration to infrastructure as code. Integrate ansible workflows with CI/CD pipelines (e.g., jenkins or cloud build) to automate the testing and deployment of infrastructure changes.
• Manage and troubleshoot synchronization between multiple identity providers, including bridging active directory, lightweight directory access protocol/red hat identity management and Google Cloud identity.