Principal Software Engineer - Oracle Health

at Oracle in Boise, Idaho, United States

Job Description

Role Summary

Oracle Health Platform Engineering builds and operates shared platform services that power secure, reliable product delivery at scale. We are an AI-first engineering organization, using AI-assisted approaches to accelerate design and delivery while maintaining high standards for security, correctness, and operability.

We are seeking a Principal Software Developer (IC4) to lead design and delivery for complex platform capabilities, improve platform reliability and security posture, and mentor engineers through deep technical contributions and influence.

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.

Responsibilities

Key Responsibilities

- Lead architecture, design, and implementation for complex platform services and shared components.

- Own key technical decisions; drive design reviews and ensure solutions meet security, scalability, performance, and operability requirements.

- Establish and improve engineering standards across services ( API consistency, test strategy, deployment patterns, observability).

- Mentor engineers through design guidance, code reviews, and technical leadership.

- Drive reliability improvements (SLOs/SLIs, capacity/performance planning, incident analysis, automation).

- Partner with Security/Compliance to ensure secure-by-design implementations and audit readiness.

- Collaborate across organizations to align roadmaps and deliver cross-team platform initiatives.

AI-First Engineering Expectations

- Demonstrate a consistent track record of applying AI-assisted engineering to improve delivery speed and quality across multiple projects (design, implementation, testing, troubleshooting).

- Establish team patterns for AI-assisted development (e.g., test generation strategies, code review checklists for AI-generated changes, documentation/ ADR generation) and coach others on effective usage.

- Evaluate AI-assisted approaches with an enterprise mindset: security, privacy, IP, and compliance considerations; ensure usage aligns with company-approved tooling and policies.

- Use AI to enhance operational excellence (e.g., improved incident triage workflows, log/trace analysis approaches, automation of repetitive o