About The Position
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.
Requirements
- 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
- Hands-on experience applying Generative AI or Agentic AI (e.g., LangChain, AutoGPT, custom agents) to Infrastructure lifecycle management
- Hands-on experience applying Generative AI or Agentic AI (e.g., LangChain, AutoGPT, custom agents) to Observability and anomaly detection
- Hands-on experience applying Generative AI or Agentic AI (e.g., LangChain, AutoGPT, custom agents) to 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
- 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
- Advanced competency in CI/CD pipelines (Jenkins, Kubernetes)
- Infrastructure as Code (Terraform)
- Observability tools (Prometheus, Grafana)
- Strong focus on automation-first operations
- Proficiency in Data Warehousing platforms (e.g., Vertica, Snowflake)
- Experience with ETL frameworks and large-scale data processing
- Understanding of columnar storage systems
- Experience supporting or integrating BI tools (Tableau, Power BI, Oracle Analytics)
- Strong proficiency in Python, Java, or Go
- Experience with Docker, Kubernetes, and shell scripting
- Strong troubleshooting skills with ability to perform root-cause analysis
- Experience resolving complex production issues in distributed systems
- 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
Responsibilities
- Design, build, and operate highly reliable, scalable infrastructure and data pipelines that power mission-critical analytics globally
- Contribute to the next evolution of cloud operations by advancing automation, observability, and AI-assisted reliability practices
- Explore the use of Generative AI and intelligent automation to improve incident response, system resilience, and operational efficiency
- Deliver robust solutions that handle massive datasets with precision and performance
- Continuously improve system reliability and operational excellence
Benefits
- Competitive benefits that support our people with flexible medical, life insurance, and retirement options
- Employee volunteer programs
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
