Principal Software Developer, Backend Focus (Remote)

Oracle•United States,

1d•$109,700 - $234,600•Remote

About The Position

Oracle Health Platform Engineering builds core platform capabilities that enable Oracle Health teams to deliver secure, scalable, highly available services. We operate with an AI-first engineering culture—engineers are expected to use AI-assisted approaches to accelerate delivery and improve quality across system design, coding, testing, documentation, and operations. We are seeking a Principal Software Developer (IC4) to design, develop, and operate backend services and platform components that improve developer productivity and strengthen platform security and reliability.

Requirements

BS in Computer Science or related field (or equivalent practical experience).
7+ years of professional software development experience.
Proficiency in one or more languages (e.g., Java, C#, Go, Python) and experience building REST and/or gRPC services.
Working knowledge of data stores (RDBMS and/or NoSQL) and distributed systems fundamentals.
Experience with modern engineering practices: source control, code review, automated testing, CI/CD pipelines.
U.S. citizenship required due to security clearance requirements.
Must be able to obtain and maintain the required security clearance.

Responsibilities

Design and implement backend services and APIs used by Oracle Health product teams.
Deliver features end-to-end: requirements clarification, technical design, implementation, automated testing, deployment, and operational support.
Participate in code and design reviews; contribute to engineering best practices (testing, CI/CD, observability, security).
Diagnose and resolve production issues; participate in on-call and incident response and drive follow-up actions.
Collaborate with cross-functional stakeholders (SRE/Operations, Security, Product, and other engineering teams).
Produce and maintain documentation, runbooks, and operational playbooks.
Demonstrate practical experience using AI-assisted techniques/tools to improve developer productivity and quality (e.g., faster prototyping, stronger test coverage, safer refactoring, better documentation).
Apply an AI-first mindset to day-to-day work: generating and validating code suggestions, creating/maintaining tests, and improving observability and runbooks—while maintaining strong engineering judgment.
Understand and follow enterprise security and privacy requirements when using AI tooling (e.g., protect sensitive data, use approved tools/workflows).