Principal Infrastructure & Reliability Engineer

Oracle

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On-site
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Posted
50 days ago

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Similar $181k
$128k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $142,400–$219,250.

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 467 open roles on FindRole.

Listed pay typically runs $97,500–$209,500 across 353 roles with salary data.

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TL;DR · Principal Infrastructure & Reliability Engineer

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As a Principal Infrastructure & Reliability Engineer at Oracle's Health Data Intelligence team, you will design, build, and operate highly reliable, scalable infrastructure for large-scale healthcare analytics platforms. Your day-to-day responsibilities include advancing automation, observability, and AI-assisted reliability practices by leveraging technologies such as Generative AI, Kubernetes, Terraform, Prometheus, Grafana, and Python or Java. You will work closely with a collaborative team to handle massive datasets, improve system resilience, and enhance operational efficiency in multi-cloud environments like OCI, AWS, and Azure. This role requires extensive experience in cloud infrastructure, SRE, DevOps, and a strong understanding of distributed systems and data warehousing platforms.

Skills

Kubernetes Terraform Python AWS Azure OCI Prometheus Grafana Docker CI/CD Vertica Snowflake Tableau Power BI Oracle Analytics Java Go LangChain AutoGPT Shell scripting

What you'll do

  • Design, build, and operate reliable, scalable infrastructure for large-scale analytics workloads.
  • Improve system reliability through automation, monitoring, and performance optimization.
  • Contribute to the adoption of AI-assisted approaches for operations, including observability and incident response.
  • Partner with development teams to enhance service architecture and operability.
  • Perform root cause analysis and implement long-term fixes for complex production issues.
  • Drive continuous improvement in DevOps/SRE practices, including CI/CD and automation at scale.

What we're looking for

  • Experience building and operating high-availability, fault-tolerant systems.
  • Strong understanding of distributed systems, performance monitoring, and resiliency patterns.
  • Hands-on experience with AI-driven automation in infrastructure lifecycle management.
  • Deep expertise in multi-cloud environments (OCI, AWS/Azure) and cloud infrastructure design.
  • Advanced competency in CI/CD pipelines, Infrastructure as Code, and observability tools.
  • Proficiency in data warehousing platforms and large-scale ETL frameworks.
  • Strong problem-solving skills with a focus on automation-first operations.

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