Senior AI Site Reliability Engineer

Oracle

Quick summary

Work type
On-site
Location
Austin, TX
Posted
1 day ago

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How this pay compares to similar roles

Similar $201k
$157k most similar roles pay here $251k

This listing doesn't post a salary. Most similar roles pay $166,500–$236,300.

Based on 240 similar postings.

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About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 418 open roles on FindRole.

Listed pay typically runs $97,500–$223,400 across 317 roles with salary data.

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At a glance

TL;DR · Senior AI Site Reliability Engineer

As a Senior AI Site Reliability Engineer, you will join a collaborative team focused on developing and maintaining a next-generation Electronic Health Record platform that leverages advanced AI technologies. Your responsibilities include designing and building highly reliable, scalable infrastructure and data pipelines for global analytics workloads, while also advancing automation and observability practices through the integration of Generative AI and intelligent systems. You will work closely with development teams to enhance service architecture and participate in on-call rotations to manage complex production issues. Key skills required are hands-on experience with multi-cloud environments (OCI, AWS/Azure), proficiency in Python, Java, or Go, and expertise in tools like Terraform, Docker, Kubernetes, Prometheus, and Grafana. Additionally, familiarity with AI-driven automation for DevOps/SRE workflows is essential, as you will be tasked with implementing GenAI-powered solutions to improve observability, incident response, and infrastructure lifecycle management.

What you'll do

  • Design and build reliable, scalable infrastructure for large-scale analytics workloads.
  • Enhance observability and implement AI-assisted incident response automation.
  • Optimize system reliability through continuous performance monitoring and automation.
  • Partner with development teams to improve service architecture and operability.
  • Perform root cause analysis and implement long-term fixes for production issues.
  • Drive the adoption of DevOps/SRE practices, including CI/CD and Infrastructure as Code.

What we're looking for

  • 4+ years of experience in software engineering, cloud infrastructure, SRE, or DevOps.
  • Strong hands-on experience with multi-cloud environments (OCI, AWS/Azure).
  • Expertise in automation-first operations using CI/CD pipelines and Infrastructure as Code.
  • Proficiency in AI-native engineering, including Generative AI for observability and incident response.
  • Deep understanding of distributed systems, performance monitoring, and resiliency patterns.

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