Senior Software Engineer, Hardware Management and AI-Driven Fleet Reliability

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I korthet

Google Cloud is seeking a Senior Software Engineer to develop next-generation technologies for hardware management and AI-driven fleet reliability. This role involves designing and implementing scalable infrastructure solutions, focusing on bare-metal server lifecycle automation, fleet monitoring, and AI/ML for predictive failure analysis. The ideal candidate will have extensive experience in distributed systems, hardware integration, and observability pipelines.

Ansvarsområden

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.

Krav

Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience.
5 years of experience with software development in one or more programming languages (e.g., Go, Python, C/C++, Java, Rust, etc), and with data structures and algorithms.
3 years of experience designing and building distributed infrastructure software, bare-metal server lifecycle automation, hardware management integrations (e.g., Redfish, BMC/iDRAC, Intelligent Platform Management Interface (IPMI), UEFI/BIOS, firmware management), or large-scale fleet monitoring and alerting systems.
Experience with Linux systems programming, networking concepts, and container orchestration.

Önskade kvalifikationer

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).

Förmåner

Equity is granted exclusively and discretionarily by Alphabet Inc.
Google is proud to be an equal opportunity and affirmative action employer.
We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.
Accommodations for Applicants form available for those needing assistance.

Färdigheter

GoPythonC/C++JavaRustRedfishBMC/iDRACIPMIUEFI/BIOSLinuxPrometheusOpenTelemetryVMware vSphereESXivSANNSXVCF

#Software Engineering#Hardware Management#AI#Fleet Reliability#Distributed Systems#Infrastructure#Bare-metal Servers#Cloud#Observability#Monitoring#Alerting#Firmware

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