Lead Principal Systems Software Engineer

Oracle•United States,

4d•$146,300 - $306,400

About The Position

Serve as the senior technical engineer and hands-on architect for Oracle’s Cloud Infrastructure and Services platform, spanning physical provisioning, virtualization, Kubernetes, and platform services. This individual-contributor role designs and implements reliability, observability, and security improvements while collaborating with distributed teams on delivery, operational readiness, and complex customer escalations. The role provides technical leadership across platform architecture, infrastructure provisioning, serviceability, device-side security, incident response, and AI-assisted operations. It also includes planning high-impact technical work, mentoring engineers, sharing expertise, partnering across functions, and driving continuous improvement. Success includes delivering platform releases with measurable reliability, security, and serviceability improvements and reducing recurring escalations through systemic engineering fixes.

Requirements

Experience serving as a senior technical individual contributor in infrastructure engineering, with deep expertise in systems architecture, implementation reviews, and technical incident resolution.
Deep understanding of on-premises cloud systems spanning compute, networking, storage, virtualization, and Kubernetes.
Strong software engineering background in Java, Python, or comparable languages, with distributed services and platform automation experience.
Experience designing observability, serviceability, production security, and resilient lifecycle workflows for enterprise infrastructure.
Demonstrated delivery of complex infrastructure initiatives, clear technical communication, and effective collaboration across distributed teams.
Relevant education in computer science, engineering, or a related discipline, or equivalent practical experience.

Nice To Haves

Cloud Infrastructure and Services platform ownership.
GPU provisioning experience.
Experience with Prometheus, Grafana, Loki, or Elasticsearch.
Experience with MCP, RAG, and on-premises AI platform evaluation.

Responsibilities

Define platform architecture and integration contracts across servers, switches, storage, KVM, Kubernetes, and shared services, aligning technical roadmaps with product priorities.
Lead bare-metal and GPU rack provisioning, service hosting, and lifecycle automation, including upgrades, backup, and operational readiness.
Own observability and serviceability capabilities covering metrics, logs, audit events, support bundles, fault reporting, and alerting.
Guide device-side security architecture, system hardening, certificate and secrets management, vulnerability remediation, and FedRAMP-related engineering.
Lead cross-layer incident investigations and develop reviewed AI-assisted operations capabilities, including MCP integrations and runbook automation with appropriate access controls.
Own design documentation, code reviews, and functional, integration, and failure testing; improve observability, secure development, and lifecycle compatibility.
Partner with support, operations, security, and engineering teams to resolve customer issues, document recovery procedures, and prevent recurrence.
Plan and deliver high-impact technical work, assessing dependencies, design trade-offs, technical risk, and operational requirements with engineering partners.
Mentor engineers through code reviews, design feedback, and knowledge sharing; contribute technical expertise to interviews and onboarding.
Drive cross-functional problem solving and continuous improvement using evidence, customer feedback, and agreed engineering metrics.
Manage and provide direction on timelines, deliverables, and budgets when applicable for critical, high-impact projects or initiatives; anticipate resource or timeline changes as business priorities shift.
Influence cross-functional leaders and external stakeholders, build partnerships with business leaders and customers, and incorporate diverse perspectives.
Lead advanced problem-solving efforts as an escalation point for complex issues; guide data-driven root-cause analysis and implementation of preventive solutions.
Share industry knowledge and thought leadership, monitor emerging trends and standards, promote continuous learning, and mentor others.
Develop and evaluate innovative process improvements and metrics that measure their effectiveness and alignment with organizational goals.
Contribute subject-matter expertise to talent strategy, interviews, candidate assessment, and hiring decisions.
Deliver coherent platform releases with measurable reliability, security, and serviceability improvements, share platform expertise through mentoring, and reduce recurring escalations through systemic engineering fixes.