Senior Platform Software Engineer- Oracle Health

Oracle•United States,

8d•$87,800 - $209,500

About The Position

Oracle Health is seeking a Senior Platform Software Engineer to build and support mission-critical, cloud-native EHR applications used by clinicians. The role focuses on backend development, distributed systems, and scalable platform architecture, particularly for clinical inbox, messaging, and provider workflow experiences. The engineer will also develop full-stack solutions while primarily focusing on backend architecture, performance, reliability, and scalability. The position involves owning services and applications across the full development lifecycle, from requirements gathering through deployment and production support. The engineer will partner with product managers, architects, TPMs, stakeholders, and cross-functional engineering teams to shape technical solutions and contribute to long-term platform strategy. The role also includes troubleshooting production issues, improving observability and operational readiness, and using AI-assisted development tools thoughtfully to increase productivity while retaining strong engineering fundamentals and independent problem-solving. The role is based in the United States. Visa or work permit sponsorship is not available. The U.S. hiring range is $87,800 to $209,500 per annum, with possible bonus and equity eligibility. Oracle offers a comprehensive benefits package. Certain U.S.-based or customer-facing roles may have immunization, occupational health, or drug testing requirements. U.S.-based employees must complete identity verification involving biometric information, with accommodations potentially available following an individualized assessment.

Requirements

Bachelor's degree in Computer Science, Software Engineering, or a related field.
At least 4 years of professional software engineering experience.
Strong experience developing enterprise-scale backend systems using Java, Python, or other object-oriented programming languages.
Deep understanding of distributed systems, microservices architecture, APIs, scalability, resiliency, and performance optimization.
Experience building and supporting cloud-native applications in modern engineering environments.
Strong understanding of software design principles, data structures, algorithms, and system architecture.
Excellent verbal and written communication skills, including the ability to explain technical concepts to technical and non-technical audiences.

Nice To Haves

Experience with cloud platforms, containerization, and modern DevOps practices.
Experience working in highly regulated environments requiring reliability, security, and compliance.
Familiarity with AI-assisted development tools such as GitHub Copilot, Codex, or similar engineering productivity platforms.

Responsibilities

Design, develop, and maintain cloud-native EHR applications supporting clinical inbox, messaging, and provider workflow experiences.
Build scalable backend services and distributed systems that power critical healthcare workflows.
Develop full-stack solutions, with a primary focus on backend architecture, performance, reliability, and scalability.
Partner with product managers, architects, and cross-functional engineering teams to translate business requirements into technical solutions.
Drive technical design discussions and contribute to long-term platform strategy.
Own services and applications throughout the development lifecycle, from requirements gathering through deployment and production support.
Troubleshoot complex production issues and lead root-cause analysis efforts.
Improve observability, reliability, operational readiness, and system performance.
Collaborate with TPMs, product managers, and stakeholders to clarify requirements and deliver solutions.
Use AI-assisted development tools and prompt-driven engineering workflows to improve productivity and development efficiency.
Work with teams building AI-powered healthcare capabilities while focusing on application engineering and platform delivery.
Apply AI tools responsibly while maintaining sound engineering fundamentals, architecture expertise, and independent problem-solving.
Communicate technical challenges, tradeoffs, and solutions clearly; contribute collaboratively and mentor others while remaining hands-on.