Principal Systems Software Engineer - Hyperscale Fleet

Oracle; Seattle (WA); On-site; USD 114,600 - 234,600; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with match

Paid time off

Paid holidays

Paid sick leave

Paid parental leave

Adoption assistance

Employee stock purchase plan

FSAs

Job summary

Oracle in Seattle, WA seeks a seasoned systems software engineer to own complex system modules, manage fleet automation, and drive provisioning pipelines at scale. You will collaborate with silicon, firmware, and OS teams, improve observability and security, and lead cross-domain debugging across software, firmware, and hardware layers in a high-availability environment.

This role emphasizes design, code quality, platform bring-up, and incident response to maintain reliability in hyperscale data

Responsibilities

• Design, develop, and maintain complex system software modules for managing, monitoring, and provisioning computer servers, storage, networking, and GPU subsystems in hyperscale environment.
• Utilizes advanced knowledge to design, develop, and deploy software layers and tooling to automate hardware provisioning and onboarding of servers to large-scale fleet.
• Play a significant role in platform bring-up, firmware updates, platform-level diagnostics, and complex cross-layer debugging.
• Diagnose and resolve complex issues across software, firmware, and hardware layers, working in DevOps and incident response paradigms to maintain reliability and availability.

Job description

Oracle in Seattle, WA seeks a seasoned systems software engineer to own complex system modules, manage fleet automation, and drive provisioning pipelines at scale. You will collaborate with silicon, firmware, and OS teams, improve observability and security, and lead cross-domain debugging across software, firmware, and hardware layers in a high-availability environment.

This role emphasizes design, code quality, platform bring-up, and incident response to maintain reliability in hyperscale data