Role Summary
Oracle Health Platform Engineering delivers foundational platform capabilities that enable secure, compliant, and highly reliable services across Oracle Health. We operate with an AI-first engineering culture, and we expect senior technical leaders to shape not just systems, but also how teams build them—using AI responsibly to increase quality, reduce risk, and accelerate delivery.
We are seeking a Senior Principal Software Developer (IC5) to provide broad technical leadership across multiple platform domains and teams. You will shape architecture, influence engineering strategy, and deliver foundational capabilities that improve security, developer experience, and operational excellence at scale.
Location / Work Authorization / Clearance
• Role is based in the United States.
• U.S. citizenship required due to security clearance requirements.
• No visa sponsorship available.
• Must be able to obtain and maintain the required security clearance.
Key Responsibilities
- Define and drive platform architecture across multiple services/teams; ensure cohesive, scalable, secure designs.
- Lead strategic initiatives spanning platform security, reliability, and developer productivity (multi-quarter impact).
- Establish and enforce engineering standards (architecture patterns, secure-by-design requirements, operational readiness).
- Anticipate systemic risks (security, scalability, resiliency, compliance) and lead cross-team mitigation.
- Drive an engineering culture of operational excellence (SLOs, error budgets, incident learning, automation).
- Mentor principal/senior engineers; raise the bar through design reviews, technical deep-dives, and hands-on contributions.
- Partner with product, security, and operations leadership to align roadmaps and deliver outcomes.
AI-First Engineering Expectations
- Set the technical vision for AI-first software delivery across platform engineering: how AI is used in design, coding, testing, reviews, release, and operations—at scale and with measurable outcomes.
- Define and drive standards/guardrails for AI-assisted development (quality gates, review requirements, testing expectations, documentation, and operational readiness), aligned with enterprise security/privacy/compliance needs.
- Lead adoption of AI-assisted methods that materially improve reliability, security, and developer productivity (e.g., automated test expansion, safer refactoring, operational diagnostics, policy-as-code generation with validation).
- Partner with Security, Compliance, and Engineering leadership to ensure responsible AI usage and to reduce risk associated with AI-generated artifacts.
Minimum Qualifications
- BS in Computer Science or related field (or equivalent practical experience).
- 10+ years of professional software development experience with significant architecture ownership.
- Proven track record delivering large-scale, mission-critical distributed systems in production.
- Strong security mindset and demonstrated ability to influence across organizations.
- Excellent communication skills; ability to drive alignment among technical and non-technical stakeholders.
Preferred Qualifications
- Deep expertise in identity architecture and authorization: policy models, zero trust/service identity, federation patterns.
- Experience designing user provisioning platforms (workflow/orchestration, reconciliation, event-driven provisioning, auditability).
- Experience with compliance-oriented engineering: audit logging, retention, access reviews, segregation of duties.
- Cloud experience preferred (OCI and cloud platform building strongly desired), including large-scale distributed systems and container platforms.