Principal AI Infrastructure Reliability Engineer

Oracle is a leader in AI and cloud solutions, and they are seeking a Principal AI Infrastructure Reliability Engineer to join their Health Data Intelligence team. The role focuses on designing, building, and operating reliable infrastructure for large-scale healthcare analytics, while advancing automation and AI-assisted reliability practices.

Responsibilities:

• Work with the Site Reliability Engineering (SRE) team to take shared ownership of services and platform components
• Develop a strong understanding of end-to-end system architecture, dependencies, and production behavior
• Design, build, and operate reliable, scalable, and secure infrastructure supporting large-scale analytics workloads
• Improve system reliability through automation, monitoring, and performance optimization
• Contribute to the adoption of AI-assisted approaches for operations, including: Enhancing observability and alerting
• Supporting automated incident detection and remediation
• Exploring intelligent automation for infrastructure lifecycle management
• Partner with development teams to enhance service architecture, scalability, and operability
• Participate in on-call rotations and act as an escalation point for complex production issues
• Perform root cause analysis and implement long-term fixes to prevent recurrence
• Apply knowledge of distributed systems to troubleshoot issues and optimize system performance
• Drive continuous improvement in DevOps/SRE practices, including CI/CD, Infrastructure as Code, and automation at scale
• Implement and optimize infrastructure for Oracle HDI Analytics Platform
• Ensure system uptime, reliability, and scalability
• Design and implement GenAI-powered or agent-based solutions for: Observability and anomaly detection
• Incident triage and remediation
• Infrastructure provisioning and lifecycle management
• Build tools and frameworks that enable self-service and autonomous operations
• Build and optimize scalable data pipelines using Vertica and ETL frameworks
• Apply DevOps/SRE practices to automate deployments and operations
• Enhance observability using Prometheus/Grafana and AI-driven insights
• Support multi-cloud initiatives across OCI, AWS, and Azure
• Optimize cost, performance, and compliance across environments
• 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

Requirements:

• 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
• 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
• Hands-on experience applying Generative AI or Agentic AI (e.g., LangChain, AutoGPT, custom agents) to: Infrastructure lifecycle management, Observability and anomaly detection, Incident response and remediation automation
• Ability to design or integrate AI-driven workflows for operational efficiency and reliability
• Familiarity with building or integrating autonomous agents for DevOps/SRE use cases
• Strong experience with multi-cloud environments (OCI, AWS/Azure)
• Deep understanding of cloud infrastructure design, deployment, and resource optimization
• Experience managing hybrid or cross-cloud architectures
• 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
• Experience supporting or integrating BI tools (Tableau, Power BI, Oracle Analytics)
• Strong 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
• 10+ years of software engineering experience, with 8+ years in cloud infrastructure, SRE, or DevOps
• Proven ownership of production system reliability in cloud environments
• Cloud infrastructure design and automation
• Distributed systems and performance optimization
• Data warehousing and ETL frameworks
• Demonstrated experience applying GenAI / LLMs / agentic frameworks to infrastructure or operations
• Experience building or integrating AI-powered automation for DevOps/SRE workflows
• Familiarity with tools like LangChain, AutoGPT, or custom AI agents
• 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
• Experience in healthcare or regulated environments (HIPAA, compliance frameworks)
• Familiarity with Oracle HDI or large-scale analytics platforms
• Experience working in environments requiring security clearance
• Experience building self-healing or autonomous infrastructure systems