Principal AI Site Reliability Engineer (US REMOTE)

Join Oracle's Health Data Intelligence (HDI) team as a Software Engineer 4, focused on Site Reliability Engineering for large-scale healthcare analytics platforms. In this role, you will design, build, and operate highly reliable, scalable infrastructure and data pipelines that power mission-critical analytics globally.
You will also contribute to the next evolution of cloud operations by advancing automation, observability, and AI-assisted reliability practices. This includes exploring the use of Generative AI and intelligent automation to improve incident response, system resilience, and operational efficiency.
You will work within a collaborative team to deliver robust solutions that handle massive datasets with precision and performance, while continuously improving system reliability and operational excellence.

U.S. citizenship is required for this position, as the successful candidate will be required to obtain (and maintain) a U.S. government security clearance after hire.

Required Skills

Infrastructure & Reliability

• Experience building and operating high-availability, fault-tolerant systems
• Strong understanding of distributed systems, performance monitoring, and resiliency patterns
• Experience with incident response, root-cause analysis, and production troubleshooting

AI-Native Engineering (NEW)

• Hands-on experience applying Generative AI or Agentic AI (e.g., LangChain, AutoGPT, custom agents) to:
  • Infrastructure lifecycle management
  • Observability and anomaly detection
  • Incident response and remediation automation
• Ability to design or integrate AI-driven workflows for operational efficiency and reliability
• Familiarity with building or integrating autonomous agents for DevOps/SRE use cases

Cloud & Multi-Cloud Ecosystems

• Strong experience with multi-cloud environments (OCI, AWS/Azure)
• Deep understanding of cloud infrastructure design, deployment, and resource optimization
• Experience managing hybrid or cross-cloud architectures

DevOps/SRE Practices

• Advanced competency in CI/CD pipelines (Jenkins, Kubernetes)
• Infrastructure as Code (Terraform)
• Observability tools (Prometheus, Grafana)
• Strong focus on automation-first operations

Data Technologies

• Proficiency in Data Warehousing platforms (e.g., Vertica, Snowflake)
• Experience with ETL frameworks and large-scale data processing

• Understanding of columnar storage systems

BI & Reporting

• Experience supporting or integrating BI tools (Tableau, Power BI, Oracle Analytics)

Programming & Tools

• Strong proficiency in Python, Java, or Go
• Experience with Docker, Kubernetes, and shell scripting

Problem-Solving

• Strong troubleshooting skills with ability to perform root-cause analysis
• Experience resolving complex production issues in distributed systems