Job description
At Oracle Health, we’re building the cloud platform behind AI-assisted clinical systems used by healthcare professionals around the world. We’re looking for engineers who enjoy solving production problems at scale, improving system reliability through automation, and building infrastructure that directly supports patient care.
This is an opportunity to work on modern cloud-native systems inside a fast-growing organization with real technical challenges and meaningful impact.
What You’ll Work On
Operate and improve large-scale distributed systems powering Clinical AI Assistant services
Build automation that improves reliability, scalability, and operational efficiency
Improve observability across metrics, logging, tracing, and alerting
Participate in production operations, incident response, and root-cause analysis
Help build self-healing infrastructure and operational tooling
Support Kubernetes-based services and cloud-native infrastructure
Partner with software engineers to improve reliability before systems reach production
Contribute to CI/CD pipelines, infrastructure as code, and platform engineering standards
Learn and apply modern SRE practices for AI-powered healthcare systems
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.