Role Summary
Oracle Health 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.
- U.S. citizenship is required for this position, as the successful candidate will be required to obtain and maintain a U.S. government security clearance after hire.
Internal 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 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.
• Cloud experience preferred (OCI strongly desired; AWS/Azure/GCP acceptable), including containerization and orchestration.
External 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 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.
• Cloud experience preferred (OCI strongly desired; AWS/Azure/GCP acceptable), including containerization and orchestration.
