Senior Site Reliability Engineer

Senior AI Site Reliability Engineer

As a Senior AI Site Reliability Engineer, you will play a pivotal role in building and operating the next-generation, AI-first Electronic Health Record platform. In this role, you will design, build, and operate highly reliable, scalable infrastructure and data pipelines that power mission-critical analytics globally.

You will also contribute to the next evolution of cloud operations by advancing automation, observability, and AI-assisted reliability practices. This includes exploring the use of Generative AI and intelligent automation to improve incident response, system resilience, and operational efficiency.

You will work within a collaborative team to deliver robust solutions that handle massive datasets 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.

Required Skills

Infrastructure & Reliability

• 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

AI-Native Engineering (NEW)

• 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

Cloud & Multi-Cloud Ecosystems

• 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

DevOps/ SRE Practices

• Advanced competency in CI/CD pipelines (Jenkins, Kubernetes)
• Infrastructure as Code (Terraform)
• Observability tools (Prometheus, Grafana)
• Strong focus on automation-first operations

Data Technologies

• Proficiency in Data Warehousing platforms (e.g., Vertica, Snowflake)
• Experience with ETL frameworks and large-scale data processing
• Understanding of columnar storage systems

BI & Reporting

• Experience supporting or integrating BI tools (Tableau, Power BI, Oracle Analytics)

Programming & Tools

• Strong proficiency in Python, Java, or Go
• Experience with Docker, Kubernetes, and shell scripting

Problem-Solving

• Strong troubleshooting skills with ability to perform root-cause analysis
• Experience resolving complex production issues in distributed systems

Develop & Maintain

• Implement and optimize infrastructure for Oracle HDI Analytics Platform
• Ensure system uptime, reliability, and scalability

AI-Driven Automation (NEW)

• 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

Data Pipeline Execution

• Build and optimize scalable data pipelines using Vertica and ETL frameworks

Operational Excellence

• Apply DevOps/ SRE practices to automate deployments and operations
• Enhance observability using Prometheus/Grafana and AI-driven insights

Cloud Integration

• Support multi-cloud initiatives across OCI, AWS, and Azure
• Optimize cost, performance, and compliance across environments

Incident Response

• Participate in on-call rotations
• Implement preventative and automated remediation solutions

Collaboration

• Work closely with engineers to execute technical roadmaps
• Contribute to code reviews and infrastructure improvements

What You Bring

4+ years of software engineering, cloud infrastructure, SRE, or DevOps experience

Proven ownership of production system reliability in cloud environments

Core Expertise

Cloud infrastructure design and automation

Distributed systems and performance optimization

Data warehousing and ETL frameworks

AI-Native Experience

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

Technical Skills

Terraform, Docker, Kubernetes

Observability stacks (Prometheus, Grafana)

Python, Java, or Go

Additional Strengths

Strong problem-solving mindset with a focus on automation and scalability

Experience improving system reliability through intelligent automation

Preferred Qualifications

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

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

Disclaimer:

Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $81,100 to $187,000 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.

Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:

• Medical, dental, and vision insurance, including expert medical opinion
• Short term disability and long term disability
• Life insurance and AD&D
• Supplemental life insurance (Employee/Spouse/Child)
• Health care and dependent care Flexible Spending Accounts
• Pre-tax commuter and