Senior Software Engineer, Hardware Management and AI-Driven Fleet Reliability
Google (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 35–65 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Own and develop end-to-end hardware lifecycle workflows including server provisioning, firmware rollouts, and hardware decommissioning.
- Build and maintain hardware/infrastructure observability pipelines with alerting and SLO dashboards targeting sub-30-minute incident detection.
- Design integrations between Google Cloud VMware Engine bare-metal infrastructure and hardware lifecycle and fleet management platforms; implement AI/ML models for hardware failure prediction and recovery orchestration.
Minimum Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, or related technical field, or equivalent experience.
- Minimum 5 years software development experience with languages like Go, Python, C/C++, Java, or Rust.
- At least 3 years experience designing/building distributed infrastructure software related to bare-metal server automation, hardware management interfaces (Redfish, BMC/iDRAC, IPMI), or large-scale fleet monitoring.
- Experience with Linux systems programming, networking concepts, and container orchestration.
Ideal Candidate Profile
- Experienced in large-scale bare-metal server fleet management and hardware lifecycle automation, including multi-generation server integration.
- Skilled in building observability, monitoring, and AI/ML-based anomaly detection pipelines for physical infrastructure.
- Capable of designing reliable recovery orchestration workflows and integrating hardware telemetry with cloud fleet management platforms.