Lead Principal Application Software Engineer

Oracle•United States,

6d•$104,600 - $264,100

About The Position

Oracle Health is seeking an experienced lead engineer to modernize OHAI’s Revenue Cycle product portfolio with AI-powered applications. The role will architect, develop, and deploy cloud-native applications for the Revenue Cycle product suite, working with product managers, software engineers, and data scientists to incorporate machine-learning capabilities. The platform will be built on Oracle Cloud Infrastructure (OCI) using cloud-native principles and designed to scale globally with zero downtime. As a Lead Principal Member of the team, you will define, design, and deliver the platform using current OCI technologies. You will work with product teams to understand existing challenges and influence the product vision and direction. You will own the software lifecycle, including development, testing, CI/CD, and production operations. The work balances product feature development with operational responsibilities such as runbooks, operations automation, structured logging, and instrumentation for metrics and events using OCI tooling. This is a greenfield development environment with substantial autonomy to build and innovate. The team seeks an experienced cloud engineer who delivers high-scale, high-impact solutions, prioritizes customers, communicates complex technical concepts clearly, maintains high engineering standards, works effectively amid ambiguity, and is willing to defend technical opinions.

Requirements

Bachelor’s or master’s degree in computer science, or equivalent.
10 or more years of experience developing and shipping enterprise distributed and/or cloud-native systems.
Strong grasp of system design fundamentals and distributed-systems architectural best practices.
Demonstrated ability to write high-quality code in Java, Python, or similar object-oriented languages.
Experience developing web applications with microservices frameworks such as Helidon, Dropwizard, or Spring.
Experience with containers and container orchestration technologies such as Kubernetes and Docker.
Demonstrated ability to influence full-system architecture.
Strong desire to make an impact and thrive in collaborative, energetic environments.
Ability to communicate technical concepts effectively, verbally and through design artifacts.
Excellent communication skills and ability to explain complex technical concepts clearly.
Comfort with ambiguity in a chaotic and fluid environment.
Passion for technology and willingness to defend technical opinions or positions with peers and superiors.

Nice To Haves

Master’s degree in computer science.
Experience in a fast-paced startup environment.
Experience building control-plane/data-plane solutions for cloud-native companies.
Experience diagnosing, troubleshooting, and resolving performance issues in complex environments.
Deep understanding of Unix-like operating systems.
Production experience with cloud and machine-learning technologies.
Knowledge of data science and machine learning.

Responsibilities

Lead the effort to define, design, and deliver the platform using current technologies on OCI.
Partner with product teams to understand challenges and influence product vision and direction.
Architect, develop, and deploy cloud-native applications for the Revenue Cycle product suite.
Collaborate with product managers, software engineers, and data scientists to incorporate machine-learning capabilities into products.
Own the software lifecycle, including development, testing, CI/CD, and production operations.
Balance product feature development with production operations, including writing runbooks, automating operations, and implementing structured logging and instrumentation for metrics and events.
Build applications designed to scale globally with zero downtime.