[Remote] Principal Software Engineer – Agent Toolkits & Cloud Infrastructure, Healthcare AI

Oracle is a leading company in AI and cloud solutions, dedicated to empowering innovation. They are seeking a Principal Software Engineer to develop and maintain software toolkits for applied scientists, design cloud-based services, and collaborate with teams to enhance model experimentation and deployment.

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

Requirements:

• 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)
• Hands-on experience with Docker and deploying containerized applications in Kubernetes environments (strongly preferred)
• Experience developing enabling tools, frameworks, or APIs for applied scientists, data scientists, or machine learning practitioners (highly desirable)
• 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 is a plus