Senior Software Developer - Oracle Health, Backend Focus

Oracle•United States,

8d•$89,200 - $209,500

About The Position

Oracle Health Platform Engineering builds core platform capabilities that enable Oracle Health teams to deliver secure, scalable, highly available services. The engineering culture is AI-first, and engineers are expected to use AI-assisted approaches to accelerate delivery and improve quality across system design, coding, testing, documentation, and operations. The Senior Software Developer (IC3) designs, develops, and operates backend services and platform components that improve developer productivity and strengthen platform security and reliability. U.S. citizenship is required, and the successful candidate must obtain and maintain a U.S. government security clearance after hire.

Requirements

BS in Computer Science or a related field, or equivalent practical experience.
At least 3 years of professional software development experience.
Proficiency in one or more programming languages, such as Java, C#, Go, or Python.
Experience building REST and/or gRPC services.
Working knowledge of RDBMS and/or NoSQL data stores and distributed systems fundamentals.
Experience with modern engineering practices, including source control, code review, automated testing, and CI/CD pipelines.
U.S. citizenship; ability to obtain and maintain a U.S. government security clearance after hire.

Responsibilities

Design and implement backend services and APIs used by Oracle Health product teams.
Deliver features end-to-end, including requirements clarification, technical design, implementation, automated testing, deployment, and operational support.
Participate in code and design reviews and contribute to engineering best practices in testing, CI/CD, observability, and security.
Diagnose and resolve production issues; participate in on-call and incident response and drive follow-up actions.
Collaborate with cross-functional stakeholders, including SRE/Operations, Security, Product, and other engineering teams.
Produce and maintain documentation, runbooks, and operational playbooks.
Use AI-assisted techniques and tools to improve developer productivity and quality, including prototyping, test coverage, refactoring, and documentation.
Apply AI-assisted approaches to generate and validate code suggestions, create and maintain tests, and improve observability and runbooks while exercising engineering judgment.
Follow enterprise security and privacy requirements when using AI tooling, including protecting sensitive data and using approved tools and workflows.