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

Google
Bengaluru, IND
Senior · 5+ years experience
Onsite
Discovered 1 weeks ago
javalinuxopentelemetryprometheuspythonrust

Full Job Posting

Responsibilities

  • 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.

Minimum qualifications:

  • 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.

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).

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