Principal Systems Software Engineer

Oracle•Seattle, WA

19d•$102,300 - $209,500

About The Position

Designs and delivers features for provisioning, onboarding, and platform services, owning small-to-medium components end-to-end. Performs cross-layer debugging spanning kernel and user space, firmware interfaces, and hardware signals to identify mitigations and root causes. Monitors and tunes performance, capacity, and error budgets for owned services or drivers, adding observability and guardrails. Enhances automation for fleet operations and improves CI/CD, validation, and conformance tests. Participates in schematic and board reviews to surface firmware and software implications, and supports early bring-up with targeted diagnostics. Designs, develops, and maintains standard and non-standard system software modules for managing, monitoring, and provisioning computer servers, storage, networking, and GPU subsystems in a hyperscale environment. Independently develops and deploys software layers and tooling to automate hardware provisioning and server onboarding to a large-scale fleet. Integrates and validates system firmware with hardware components and collaborates on platform bring-up, firmware updates, diagnostics, and cross-layer debugging. The role diagnoses and resolves issues across software, firmware, and hardware layers, working within DevOps and incident-response practices to maintain reliability and availability. It works closely with platform engineering, operations, firmware development, silicon and board vendors, and data center teams to support and troubleshoot hardware bring-up, provisioning, and lifecycle operations. The engineer designs software solutions, contributes to requirements, develops and tests features, leads code reviews in designated areas, performs performance profiling and optimization, and supports secure, reliable systems and software architecture. The position also includes customer issue and defect collaboration, system maintenance, independent project execution, cross-team partnership, problem solving, continuous learning, and process improvement.

Responsibilities

Design, develop, and maintain software modules for managing, monitoring, and provisioning servers, storage, networking, and GPU subsystems in a hyperscale environment.
Independently design, develop, and deploy software layers and tooling to automate hardware provisioning and onboarding servers to a large-scale fleet.
Integrate and validate system firmware with hardware components; support platform bring-up, firmware updates, diagnostics, and cross-layer debugging.
Diagnose and resolve issues across software, firmware, and hardware layers to maintain reliability and availability.
Collaborate with platform engineering, operations, firmware development, silicon and board vendors, and data center teams on hardware bring-up, provisioning, and lifecycle operations.
Design software solutions, analyze requirements, and develop features and enhancements in line with design specifications.
Follow and suggest improvements to the software development lifecycle; document software designs and code.
Lead code reviews in designated areas and develop fixes for identified software issues.
Implement functional and non-functional testing, quality assurance, error logging, monitoring, and observability.
Conduct performance profiling and optimization; troubleshoot API functionality and integration, and implement API versioning, lifecycle, and interoperability strategies.
Design and develop software, systems, and services aligned with the defined system architecture; implement performance and scalability strategies.
Collaborate across teams to understand customer issues, guide customer support, advocate for customer interests, and resolve product defects and maintenance issues.
Follow development practices and coding standards, maintain code quality, apply industry best practices, and implement secure coding practices.
Perform periodic system maintenance and testing, including upgrades and patching; improve automation, testing, and debugging to support availability, health, and reliability.
Independently manage work, timelines, and deliverables; prioritize and adapt plans when resources or timelines change.
Analyze information from multiple sources to troubleshoot issues, escalate more complex issues as appropriate, and contribute to knowledge sharing.
Recommend process, protocol, and workflow improvements and seek input on alternative approaches.