Oracle cloud

At Oracle Health, we're transforming healthcare administration through Oracle Health Insurance (OHI), a cloud-native payer platform supporting enrollment, billing, benefits administration, provider payments, and claims adjudication. 

As Oracle expands Oracle Health Insurance capabilities globally, including support for U.S. Medicare, Medicaid, commercial insurance programs, and AI-enabled claims processing, we're investing in engineers who are passionate about building the next generation of healthcare payer solutions.

As an IC3 Software Development Engineer, you will contribute to the design and development of scalable cloud services, healthcare business workflows, and AI-powered capabilities that improve operational efficiency for health plans and government programs.

Responsibilities

As a member of the software engineering division, you will assist in defining and developing software solutions associated with Oracle Health Insurance products. You will design, develop, test, and deploy software components while collaborating with cross-functional teams across product management, architecture, QA, and customer implementations.

Key Responsibilities

• Develop and enhance OHI modules supporting enrollment, benefits, claims, and payments. 
• Build scalable microservices and APIs supporting payer workflows. 
• Contribute to healthcare payer platform capabilities and country-specific configurations. 
• Participate in AI and automation initiatives leveraging LLMs and agent-based solutions. 
• Develop integrations using healthcare standards and EDI transactions. 
• Troubleshoot production issues and support continuous improvement initiatives. 
• Collaborate with distributed engineering teams to deliver high-quality software. 

Mandatory Qualifications

• BS/MS in Computer Science or related field. 
• 4-6 years of software engineering experience. 
• Strong programming skills in Java and/or Python. 
• Experience with REST APIs and distributed systems. 
• Strong SQL and database fundamentals. 
• Experience with cloud technologies (OCI, AWS, or Azure). 
• Knowledge of software design patterns and object-oriented design. 
• Experience working in Agile development environments. 
• Familiarity with CI/CD pipelines and automated testing. 
• Experience leveraging AI-assisted software development tools and modern developer productivity technologies. 

Preferred Qualifications

• Healthcare payer domain knowledge. 
• Exposure to claims processing, enrollment, benefits administration, or provider payments. 
• Familiarity with Medicare, Medicaid, or commercial insurance workflows. 
• Experience with GenAI, prompt engineering, or AI agents.

At Oracle Health, we’re building the future of healthcare

At Oracle Health, we’re building the future of healthcare—cloud-native healthcare solutions with AI at their core, designed to operate at nation-scale. Our mission is to transform how hospitals and physicians work, enabling better patient care while ensuring accurate, timely reimbursement.

We are modernizing Electronic Health Record and Clinical Analytics systems using LLMs and AI agents, helping clinicians focus more on patients and less on administrative burden.

We’re looking for highly skilled AI engineers to design and build high-scale, cloud-based data processing pipelines that ingest, transform, and analyze massive volumes of healthcare data with low latency, powering business insights and analytics across EHR and RCM systems.

You will leverage LLMs, AI agents, and modern data platforms to solve problems like clinical decision support, revenue optimization, and workflow automation while using AI-assisted development tools to accelerate delivery.

Responsibilities

Key Responsibilities

• Build and enhance data pipelines, ETL workflows, and transformations.
• Contribute to LLM/agent-based features and analytics use cases.
• Work with EHR/RCM datasets and support KPI/dashboard development.
• Learn and apply best practices in cloud, data engineering, and LLMOps.

Mandatory Qualifications

• BS/MS in Computer Science or equivalent.
• 4+ years of relevant software engineering experience.
• Strong software engineering skills in Python/Java.
• Strong knowledge of SQL.
• Deep expertise in data engineering: ETL, data transformation, data modelling (Spark, SQL), hands-on experience in BI.
• Experience building high-scale distributed data systems.
• Cloud experience (OCI/AWS/Azure).
• Experience with creating major new functionality in a software system all the way from design, through development and testing to production deployment.
• Experience with collaborating across multiple functional areas to develop components that are part of a larger system.
• Experience with LLMs, prompt engineering, and agent frameworks.
• Experience with blending hands-on coding with smart adoption of AI-driven solutions to rapidly prototype, test, iterate, and deliver reliable code.
• Experience using ChatGPT, Claude, or similar models on a routine basis to improve productivity.

Preferred Qualifications

• Experience with agentic architectures or GenAI platforms.
• Background in healthcare or digital health systems.
• Understanding of EHR systems and RCM workflows.
• Familiarity with healthcare coding standards (ICD/CPT).