Principal Platform Software Engineer

Oracle

Confirmed live today High trust

Quick summary

Work type: On-site
Location: —
Salary: $105,900–$234,600 / yr
Posted: 7 days ago
Freshness: Confirmed live today

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $176k

This role $170k

$89k $250k

below market most similar roles pay here above market

This role pays more than 65% of similar roles. Most pay $151,000–$201,825 — the blue band above. At the midpoint, this role pays about $170k versus about $176k for comparable roles.

Based on 240 similar postings.

Employer

About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 955 open roles on FindRole.

Listed pay typically runs $102,300–$234,600 across 790 roles with salary data.

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At a glance

TL;DR · Principal Platform Software Engineer

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The Principal Platform Software Engineer- Oracle Health joins the Oracle Health Platform Engineering team to build and operate shared platform services that ensure secure, reliable product delivery at scale. This role involves leading the architecture, design, and implementation of complex platform capabilities and shared components while improving reliability and security posture. Key responsibilities include driving technical decisions, establishing engineering standards for API consistency and observability, and mentoring engineers through code reviews. The position requires expertise in building distributed services, data modeling, and IAM-related service design, including token-based authentication and secrets management. Candidates should possess skills in cloud environments like OCI, AWS, or Azure, alongside containerization and orchestration. The work focuses on solving technical problems related to secure-by-design implementations, user provisioning, and AI-assisted engineering workflows.

Skills

OCI AWS Azure GCP Containerization API Design IAM Secrets Management SLOs SLIs Observability Data Modeling System Design

What you'll do

Lead architecture, design, and implementation for complex platform services and shared components.
Own key technical decisions to ensure solutions meet security, scalability, performance, and operability requirements.
Establish and improve engineering standards for API consistency, test strategy, deployment patterns, and observability.
Drive reliability improvements through SLO/SLI management, capacity planning, incident analysis, and automation.
Partner with Security and Compliance teams to ensure secure-by-design implementations and audit readiness.
Apply AI-assisted engineering to accelerate design, implementation, testing, and troubleshooting across multiple projects.
Establish and coach team patterns for AI-assisted development, including test generation and code review checklists.
Use AI to enhance operational excellence by automating repetitive tasks and improving incident triage workflows.

What we're looking for

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.
Strong IAM-related service design experience (preferred).
Experience building or integrating user provisioning and entitlement services (preferred).
Experience with secure platform patterns and cloud experience (preferred).

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