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# System Development Engineer, Fleet Infrastructure Engineering

- **Company:** Google LLC
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $116,000.0 - $166,000.0
- **Contract:** Permanent contract
- **Skills:** Systems Engineering, Code Review, Software Debugging, Linux, Systems Development Life Cycle, Cloud Services, Information Technology, Performance Monitor, Machine Learning Operations
- **Published:** July 11, 2026
- **Apply:** https://dejobs.org/x/x/F29FCCF8E79F434692C3ED2A990DEEA3/job/

## About the Role

Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes., * 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)., * 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.

## Description

* 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.


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