About the job
Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health & AI. This team will focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. This is a net new line of business, constructed with an entrepreneurial spirit that promotes an energetic and creative environment. We are unencumbered and will need your contribution to make it a world class engineering center with the focus on excellence.
Responsibilities
Develop and maintain robust software toolkits in Python and Java to support applied scientists in building, testing, and deploying machine learning models and agents.
Design, implement, and optimize cloud-based services for running applied science models, with an emphasis on scalability, reliability, and security in Oracle Cloud Infrastructure (OCI).
Collaborate closely with scientists and engineers to deliver user-friendly APIs, libraries, and documentation enabling effective model experimentation and deployment.
Build and support asynchronous communication patterns (user-agent, agent-agent and multimodal) using message queues and data streaming systems.
Use and extend containerization practices with Docker; deploy and orchestrate services via Kubernetes.
Produce well-structured sample code and reference implementations—including basic integration with LLM APIs—demonstrating toolkit best practices.
Apply strong knowledge of algorithms, data structures, concurrent programming, and distributed systems fundamentals (including asyncio and threading) in the development of performant and maintainable software.
Incorporate feedback, write comprehensive documentation, and contribute to code reviews to continuously improve quality and usability.
Monitor and instrument solutions for performance, debugging, and reliability in production environments.
Stay current with the latest software engineering and AI toolchain practices, advocating for adoption where appropriate.
Qualifications
Minimum
8-12 years of relevant software development experience, with a focus on backend and AI first applications.
BS/MS in Computer Science or a related field, or equivalent practical experience.
Proficiency in both Python and Java, with experience developing and maintaining production software in both languages.
Solid foundations in software engineering—especially concurrent and distributed systems, data structures, and algorithms.
Professional experience with asynchronous communications (e.g., message queues, pub/sub, data streaming platforms such as Kafka or OCI Streaming).
Preferred
Hands-on experience with Docker and deploying containerized applications in Kubernetes environments.
Experience developing enabling tools, frameworks, or APIs for applied scientists, data scientists, or machine learning practitioners.
Working knowledge of AI/LLM APIs and best practices, with the ability to create sample and reference code for scientific users.
Familiarity with Oracle Cloud Infrastructure, or other cloud platforms, with a willingness to specialize in OCI.
Strong communication skills; able to collaborate in a distributed and asynchronous team environment.
Track record of documentation, mentorship, or technical leadership.