Senior Site Reliability Developer- Oracle Health
About The Position
At Oracle Health, the Senior Site Reliability Developer will help build and operate the cloud platform behind AI-assisted clinical systems used by healthcare professionals. The role focuses on solving production problems at scale, improving system reliability through automation, and supporting infrastructure that contributes to patient care. It involves modern cloud-native systems and opportunities to tackle technical challenges with meaningful impact. The developer will operate and improve distributed systems powering Clinical AI Assistant services; develop automation and self-healing infrastructure; strengthen observability; and support Kubernetes-based services and cloud-native infrastructure. The role also participates in production operations, incident response, and root-cause analysis, and partners with software engineers to improve reliability before systems enter production. The developer contributes to CI/CD pipelines, infrastructure as code, and platform engineering standards while applying modern SRE practices to AI-powered healthcare systems. Oracle describes the position as offering growth opportunities in senior engineering, platform architecture, and reliability leadership. U.S. citizenship is required, as is the ability to obtain and maintain a federal security clearance.
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 required.
- 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 insurance
- Dental insurance
- Vision insurance
- Short-term disability
- Long-term disability
- Life insurance and AD&D
- Supplemental life insurance for employee, spouse, or child
- Health care and dependent care Flexible Spending Accounts
- Pre-tax commuter and parking benefits
- 401(k) Savings and Investment Plan with company match
- Paid time off, including flexible or accrued vacation depending on eligibility
- 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
- May be eligible for bonus and equity
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
