Senior Software Engineer, Hardware Management and AI-Driven Fleet Reliability
Google · Posted Oct 15
Search engine, cloud computing, software, hardware, and artificial intelligence services
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About the role
Google Cloud's software engineering organization builds the next-generation technologies and enterprise-grade cloud solutions used by customers in more than 200 countries and territories. The team works across distributed computing, large-scale system design, networking and data storage, security, and artificial intelligence. This role focuses on bare-metal hardware lifecycle management for Google Cloud VMware Engine, building provisioning, observability, SLO-driven alerting, and recovery orchestration systems, and applying AI/ML anomaly detection and agentic root cause analysis to predict hardware failures across large server fleets.
What you will do
- Own end-to-end, state-motivated workflows for bare-metal server provisioning, independent hardware/firmware bundle rollouts and secure physical hardware decommissioning.
- Build end-to-end hardware and infrastructure observability pipelines and design high-signal, low-noise alerting and Service Level Objective (SLO) dashboards that drive sub-30-minute incident detection.
- Design and build seamless software integrations and abstraction layers between Google Cloud VMware Engine (GCVE) bare-metal infrastructure and Google's first-party hardware lifecycle, provisioning, repair, fleet management platforms.
- Design and implement high-reliability recovery orchestration including one-click staggered rack/row power-up, automated thermal protection shutdowns, and deterministic host/cluster restoration.
- Apply Artificial Intelligence/Machine Learning (AI/ML) models, time-series anomaly detection, and agentic Root Cause Analysis (RCA) workflows over hardware telemetry, system logs, and crash dumps to predict imminent hardware failures.
Skills used in this role
Preferred qualifications
- Master’s degree or PhD in Engineering, Computer Science, a technical related field, or equivalent practical experience.
- Experience integrating multi-generation bare-metal server fleets (e.g., Dell PowerEdge, Google Compute Engine (GCE) Bare Metal, SmartNICs/DPUs, rack Power Distribution Units (PDUs)) with large-scale cloud or first-party fleet management, provisioning, and repair platforms.
- Experience architecting high-scale telemetry, monitoring, and alerting pipelines (e.g., Prometheus/OpenTelemetry exporters, time-series databases, SLO-motivated alerting, automated triage) for physical infrastructure and virtualization stacks.
- Experience designing state-machine or workflow-orchestrated machine management pipelines.
- Experience with enterprise virtualization stacks (e.g., VMware vSphere/ESXi, vSAN, NSX, VCF).
Benefits and support
- Compensation and benefits are detailed in the job posting
About Google
Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.
- Industry
- Internet
- Company size
- 180000+ employees
- Founded
- 1998-09-04
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25M raised
- 1999-06-07Series A$25M
Leadership
Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President and Chief Business Officer
Chief Executive Officer, Google Cloud
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