About the job
At Oracle Health, we’re building the next generation of reliable, AI-powered healthcare infrastructure. Our Clinical AI Assistant platform supports healthcare professionals operating in real-world clinical environments where reliability, scalability, and operational excellence are critical. We’re looking for experienced Site Reliability Engineers who want significant ownership, difficult technical challenges, and the opportunity to influence how large-scale AI systems are operated. This is a hands-on engineering role focused on solving hard distributed systems problems, improving platform resilience, and building intelligent operational capabilities at scale.
Responsibilities
Lead reliability engineering efforts for large-scale cloud-native healthcare platforms
Design and operate highly available distributed systems supporting AI-driven services
Build automation, self-healing systems, and intelligent operational tooling
Drive improvements across scalability, observability, deployment safety, and incident response
Lead complex production investigations and engineer durable long-term fixes
Develop AIOps capabilities including anomaly detection, predictive scaling, and automated remediation
Partner with software and platform teams to improve architecture, resiliency, and operational readiness
Influence engineering standards across Kubernetes, CI/CD, infrastructure as code, and cloud operations
Mentor engineers and help raise operational engineering maturity across the organization
Qualifications
Minimum
7–10+ years of experience in Site Reliability Engineering, DevOps, Production Engineering, or related infrastructure roles
Strong experience operating large-scale production systems with high availability requirements
Deep understanding of distributed systems, reliability engineering, and cloud infrastructure
Hands-on experience with Kubernetes and containerized workloads
Strong automation and software engineering skills
Experience improving operational excellence through tooling and engineering rigor
Strong troubleshooting and performance optimization skills in Linux-based environments
Experience with observability systems, monitoring, tracing, and alerting
Ability to lead technical initiatives and drive cross-team reliability improvements
U.S. citizenship required
Ability to obtain and maintain a federal security clearance
Preferred
AI/ML or LLM infrastructure in production
AIOps or intelligent operational automation
Experience in healthcare or other regulated environments
High-throughput, low-latency distributed systems
Experience with Java, Python, C++, or similar languages