Principal Software Developer - Oracle Health

Oracle -
United States

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Job Details

Full-time

Qualifications

Data model design
Software engineering
Data modeling projects
Team leadership
Improving system uptime or availability
System design for system development
Developing and maintaining backend systems
Cross-functional collaboration
Design (software development lifecycle)
Web services design

Full 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.

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 operational tasks).

Minimum Qualifications

BS in Computer Science or related field (or equivalent practical experience).
7+ years of professional software development experience.
Demonstrated experience building and operating distributed services in production.
Strong system design skills, including data modeling, API design, and performance/reliability tradeoffs.
Demonstrated ability to drive technical alignment across teams and deliver results in ambiguous problem spaces.

Preferred Qualifications

Strong IAM-related service design experience: token-based auth, service-to-service auth, authorization enforcement, policy design.
Experience building or integrating user provisioning and entitlement services, lifecycle workflows, and audit logging.
Experience with secure platform patterns: secrets management, key rotation, secure defaults, defense-in-depth.
Cloud experience preferred (OCI strongly desired; AWS/Azure/GCP acceptable), including containerization and orchestration.

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