Senior Systems Development Engineer, Silicon Infrastructure (google)

Qualifications

Minimum qualifications:

• Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience.
  
• 5 years of experience with systems automation, and with systems design and implementation.
  
• 5 years of experience with Linux operating systems internals and administration, technical infrastructure (e.g., deployment, maintenance, troubleshooting), and with reliability of technical infrastructure.
  

Preferred qualifications:

• Experience with Linux systems, networking, and security.
• Experience writing code to automate monitoring or data analysis (e.g., Python, Bash).
• Experience with infrastructure-as-code (e.g., Terraform provisioning).
• Experience with configuration-as-code (e.g., Puppet configuration management).
• Knowledge of silicon design tools and methods (e.g., electronic design automation), and RTL to GDS workflows and FlexLM license servers.

Summary

• Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience.
  
• 5 years of experience with systems automation, and with systems design and implementation.
  
• 5 years of experience with Linux operating systems internals and administration, technical infrastructure (e.g., deployment, maintenance, troubleshooting), and with reliability of technical infrastructure.
  

Description

Systems Development Engineering (SDE) at Google is a role where you manage services and systems at scale. SDEs creatively put their engineering discipline to use automating the mundane and reducing toil. We don’t just write code to fix bugs, but emphasize the development of tools and solutions that fix classes of problems. We know it’s hard to control what you can’t measure – so we focus on observability: instrumenting first, then turning data into knowledge, and finally knowledge into action. We know that the operational efficiency of Google systems, services, virtual compute environments and the operating systems that power them impact the environment, not just the bottom line. We know that working together we can do more, and that community matters.

Google brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.

Together we engineer and build the infrastructure, tools, access and telemetry for systems that enable orchestration of Google-scale services. Come build things that matter.

The team is responsible for the computing infrastructure that the silicon design teams use to deliver products, including compute, data storage, networking, and security. As a Senior Systems Development Engineer, you will help maintain and improve existing systems, while helping develop next-generation solutions for future projects.

The US base salary range for this full-time position is $142,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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.

Responsibilities

• Architect, implement, and maintain computing infrastructure for use by Google’s silicon design teams.
• Create new, and improve existing, Linux computing, storage, and networking environments running on Google Cloud Platform.
• Troubleshoot technical issues within the Linux computing environment.
• Streamline operations work and reduce support toil by proposing and implementing automation and process improvements.
• Participate in on-call rotation and monitoring of production distributed computing infrastructure.