Senior AI Cloud SRE & Platform Engineer

Oracle; Oregon; Hybrid; USD 91.000 - 187.000; Vollzeit

Benefits dieser Stelle

Medical, dental, and vision insurance

Short term disability and long term 6

Life insurance and AD&D

401(k) Savings and Investment Plan

Paid time off

11 paid holidays

Paid parental leave

Employee Stock Purchase Plan

Pre-tax commuter and parking benefits

Zusammenfassung

Oracle Health seeks a Site Reliability Engineer to operate and improve large-scale distributed systems powering Clinical AI Assistant services. You will build automation, improve observability, and participate in production operations and incident response.

You will collaborate with software engineers to ensure reliability before production, support Kubernetes-based services, and contribute to CI/CD pipelines and infrastructure as code.

Qualifikationen

• 4-6 years in Site Reliability/DevOps or related roles.
• Production systems in cloud or distributed environments.
• Strong Linux fundamentals.
• Experience with Kubernetes, containers, or cloud-native infra.
• Scripting with Python or Bash.
• Familiarity with IaC and CI/CD workflows.
• Understanding of monitoring, alerting and observability concepts.
• Curious with strong engineering mindset.

Aufgaben

• 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.
• Collaborate with software engineers to improve reliability before production.

Kenntnisse

Linux fundamentals

Kubernetes

Python

Bash

CI/CD

Observability

Automation

Cloud-native

Tools

OCI (Oracle Cloud)

AWS

Azure

Kubernetes

Terraform

Jobbeschreibung

Oracle Health seeks a Site Reliability Engineer to operate and improve large-scale distributed systems powering Clinical AI Assistant services. You will build automation, improve observability, and participate in production operations and incident response.

You will collaborate with software engineers to ensure reliability before production, support Kubernetes-based services, and contribute to CI/CD pipelines and infrastructure as code.