Senior Site Reliability Developer- Oracle Health
About The Position
Oracle Health is seeking a Senior Site Reliability Developer to help operate and improve the cloud platform behind AI-assisted clinical systems. The role focuses on large-scale distributed systems powering Clinical AI Assistant services, improving reliability through automation, and supporting infrastructure that contributes to patient care. The position involves production operations and incident response, observability, Kubernetes-based services, cloud-native infrastructure, self-healing systems, operational tooling, CI/CD, infrastructure as code, and platform engineering standards. The engineer will partner with software developers to improve reliability before systems reach production and apply modern SRE practices to AI-powered healthcare systems. The role requires U.S. citizenship and the ability to obtain and maintain a federal security clearance. Oracle lists a U.S. hiring range of $91,400–$187,000 per annum, with possible bonus and equity. Oracle describes growth opportunities in senior engineering, platform architecture, and reliability leadership.
Requirements
- 4–6 years of experience in Site Reliability Engineering, DevOps, Production Engineering, or related infrastructure roles.
- Experience supporting production systems in cloud or distributed environments.
- Strong Linux fundamentals and troubleshooting skills.
- Experience with Kubernetes, containers, or cloud-native infrastructure.
- Scripting or software development experience with Python, Bash, or similar languages.
- Familiarity with infrastructure as code and CI/CD workflows.
- Understanding of monitoring, alerting, and observability concepts.
- Curiosity, ownership, and a strong engineering mindset.
- U.S. citizenship.
- Ability to obtain and maintain a federal security clearance.
Nice To Haves
- Experience with cloud platforms such as OCI, AWS, or Azure.
- Exposure to large-scale distributed systems.
- AI/ML platform or observability tooling experience.
- Experience in regulated or high-availability environments.
Responsibilities
- Operate and improve large-scale distributed systems powering Clinical AI Assistant services.
- Build automation to improve 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.
Benefits
- Medical, dental, and vision insurance, including expert medical opinion.
- Short-term and long-term disability.
- Life insurance and AD&D.
- Supplemental life insurance for employees, spouses, and children.
- Health care and dependent care Flexible Spending Accounts.
- Pre-tax commuter and parking benefits.
- 401(k) Savings and Investment Plan with company match.
- Flexible or accrued vacation, depending on employee eligibility and position.
- 11 paid holidays.
- Paid sick leave.
- Paid parental leave.
- Adoption assistance.
- Employee Stock Purchase Plan.
- Financial planning and group legal benefits.
- Voluntary auto, homeowner, and pet insurance.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
