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# Principal Software Developer - Oracle Health

- **Company:** Oracle
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Salary:** $114,600.0 - $234,600.0
- **Contract:** Permanent contract
- **Skills:** Cerner, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Audit Trail, Microsoft Azure, Cloud Computing, Code Review, Identity and Access Management, Key Management, Service Design, Software Engineering, Systems Integration, Strategies of Testing, User Provisioning Software, Containerization, Information Technology, Api Design, Oracle Cloud Infrastructure
- **Published:** July 4, 2026
- **Apply:** https://www.juju.com/job/00000000gdv3ke

## About the Role

* 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.

## Description

* 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).


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