Senior AI Site Reliability Engineer

Oracle•United States,

10h

About The Position

As a Senior Site Reliability Engineer, you will play a pivotal role in building and operating the Oracle Health Patient Portal. In this role, you will design, build, and operate highly reliable, scalable infrastructure that supports Commercial and Federal customers. You will also contribute to the next evolution of cloud operations by advancing automation, observability, and AI-assisted reliability practices. You will work within a globally distributed team to deliver robust solutions that handle massive load by the end users with precision and performance, while continuously improving system reliability and operational excellence. U.S. citizenship is required for this position, as the successful candidate will be required to obtain (and maintain) a U.S. government security clearance after hire.

Requirements

Experience building and operating high-availability, fault-tolerant systems.
Strong understanding of distributed systems, performance monitoring, and resiliency patterns.
Experience with incident response, root-cause analysis, and production troubleshooting.
Experience with one or more cloud environments OCI, AWS/Azure.
Advanced competency in CI/CD pipelines (Jenkins, Kubernetes).
Infrastructure as Code (Terraform).
Observability tools (Prometheus, Grafana).
Strong focus on automation-first operations.
Proficiency in Data Warehousing platforms (e.g., Vertica, Snowflake).
Experience with ETL frameworks and large-scale data processing.
Understanding of columnar storage systems.
Proficiency in Python, Java, or Go.
Experience with Docker, Kubernetes, and shell scripting.
Strong troubleshooting skills with ability to perform root-cause analysis.
Experience resolving complex production issues in distributed systems.
4+ years of software engineering, cloud infrastructure, SRE, or DevOps experience.
Proven ownership of production system reliability in cloud environments.
Cloud infrastructure design and automation.
Distributed systems and performance optimization.
Data warehousing and ETL frameworks.
Terraform, Docker, Kubernetes.
Observability stacks (Prometheus, Grafana).
Python, Java, or Go.
Strong problem-solving mindset with a focus on automation and scalability.
Experience improving system reliability through intelligent automation.

Nice To Haves

Experience in healthcare or regulated environments (HIPAA, compliance frameworks).
Experience working in environments requiring security clearance.
Experience building self-healing or autonomous infrastructure systems.

Responsibilities

Design, build, and operate highly reliable, scalable infrastructure that supports Commercial and Federal customers.
Contribute to the next evolution of cloud operations by advancing automation, observability, and AI-assisted reliability practices.
Work within a globally distributed team to deliver robust solutions that handle massive load by the end users with precision and performance, while continuously improving system reliability and operational excellence.
Apply DevOps/SRE practices to automate deployments and operations.
Enhance observability using Prometheus/Grafana and AI-driven insights.
Participate in on-call rotations.
Implement preventative and automated remediation solutions.
Work closely with engineers to execute technical roadmaps.
Contribute to code reviews and infrastructure improvements.