Job Description

Minimum qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Systems Engineeting, or a related field, or equivalent practical experience.
• 3 years of experience with systems automation, design, and implementation.
• 3 years of experience managing Cloud infrastructure (e.g., deployment, maintenance, and troubleshooting).

Preferred qualifications:

• 3 years of experience working with vendors or customers.
• 1 year of experience with observability tools (Grafana, Prometheus or similar).
• Experience with containerized workloads Kubernetes (GKE/EKS).
• Production experience in Linux administration.
• Experience writing code to automate monitoring or data analysis (Python, Shell, Go, etc.).
• Familiarity with CI/CD processes, tools & best practices.

About the job

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.

Quantum AI’s quantum computers are operated and monitored by a fleet of “classical” computers. These classical computers are where all the software, firmware, configuration and data live. We need to support our own observability and telemetry solutions, which will be designed from scratch by adopting modern solutions and standards.

This role will primarily focus on designing and building systems that will improve reliability of deployed quantum computers.

The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.

The US base salary range for this full-time position is $138,000-$198,000 + 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.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google

Responsibilities

• Work with other team members to ensure we gain the necessary information to keep our clusters healthy.
• Use various configuration management tools to maintain highly reliable services.
• Solve problems by digging deep into Linux internals or cloud APIs.
• Work closely with various network, security, and software engineering teams.
• Manage hybrid Cloud infrastructure.