System Development Engineer, Fleet Infrastructure Engineering

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.

You will be joining the Fleet Infrastructure Engineering (FIE) team to build and manage key infrastructure systems. We power global operations for Alphabet, from physical security and badge access control to IoT monitoring and data center operational technology. We are currently moving beyond manual, reactive alerting toward proactive, AI-driven, self-healing ecosystems. You will apply systems engineering to solve issues from smart surveillance to advanced radio systems.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $116000 - $166000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

Provide technical expertise to support projects, with the goal of improving efficiency, scalability, and reducing manual effort.

Leverage coding, scripting, and systems engineering skills to automate system administration tasks and eliminate repetitive work. Review code developed by other developers and provide feedback to ensure best practice.

Implement automated self-healing workflows by developing and deploying configuration orchestration agents that execute remediations based on automated ML recommendations.

Track fleet health and anomaly feature attributions via operational dashboards to assist in-depth engineering debugging during critical service outages.

Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Minimum qualifications:

Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience.

2 years of experience with systems automation.

2 years of experience with technical infrastructure (e.g., deployment, maintenance, troubleshooting).

Preferred qualifications:

3 years of experience with Production IT experience with evidence of system administration or Enterprise on-prem or cloud services.

Experience in at least two of the following areas: Operating Systems, Networking, Scripting and Automation.

Knowledge of Windows and Linux operating systems.

Exposure to Machine Learning Operations (MLOps) practices, such as staging telemetry data, tracking anomaly detection models, or configuring performance monitoring dashboards.

Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience.

2 years of experience with systems automation.

2 years of experience with technical infrastructure (e.g., deployment, maintenance, troubleshooting).