Principal AI Site Reliability Engineer
Oracle · United States
- Hybrid
- Full-time
- $234,000 / year
- United States
Tailored resume — keyword-matched to this role.
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Job highlights
- Build and operate reliable cloud infrastructure.
- Advance automation and AI in operations.
- Collaborate with global distributed teams.
- Ensure system scalability and performance.
- Troubleshoot complex production issues.
About the role
About the Role
As a Principal 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.
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
Cloud Ecosystems
- Experience with one or more cloud environments OCI, AWS/Azure
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
Programming & Tools
- 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
Operational Excellence
- Apply DevOps/SRE practices to automate deployments and operations
- Enhance observability using Prometheus/Grafana and AI-driven insights
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
- 7+ 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
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 distributed systems.
- 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.
Qualifications
- 7+ years of software engineering, cloud infrastructure, SRE, or DevOps experience.
- Proven ownership of production system reliability in cloud environments.
- Core Expertise in cloud infrastructure design and automation, distributed systems and performance optimization, data warehousing and ETL frameworks.
- Technical Skills in Terraform, Docker, Kubernetes, Observability stacks (Prometheus, Grafana), and Python, Java, or Go.
- Additional Strengths include a strong problem-solving mindset with a focus on automation and scalability, and experience improving system reliability through intelligent automation.
Key skills/competency
- Site Reliability Engineering
- AI Operations
- Cloud Infrastructure
- Distributed Systems
- Automation
- Observability
- Kubernetes
- Terraform
- Python
- Incident Response
Skills & topics
- Site Reliability Engineer
- AI
- Cloud Infrastructure
- DevOps
- Automation
- Kubernetes
- Terraform
- Python
- Distributed Systems
- Observability
- Principal Engineer
How to get hired
- Tailor your resume: Highlight your 7+ years of SRE/DevOps experience, cloud infrastructure, automation, and AI skills, referencing specific achievements.
- Showcase technical expertise: Emphasize proficiency in Terraform, Kubernetes, Prometheus/Grafana, and Python/Java/Go, and experience with CI/CD and distributed systems.
- Demonstrate problem-solving: Prepare examples of incident response, root-cause analysis, and how you improved system reliability through automation.
- Research Oracle Health: Understand their patient portal, cloud solutions, and AI initiatives to align your application and interview responses.
- Prepare for clearance: Be ready to discuss U.S. citizenship requirements and the need for a security clearance.
Technical preparation
Master CI/CD, Terraform, Docker, Kubernetes.,Deepen knowledge of OCI, AWS, or Azure.,Practice Python, Java, or Go coding.,Prepare for distributed systems troubleshooting.
Behavioral questions
Describe a complex production issue you resolved.,How have you improved system reliability via automation?,Share your experience with incident response and RCA.,How do you collaborate with development teams?
Frequently asked questions
- What are the key technical skills required for the Principal AI Site Reliability Engineer role at Oracle Health?
- The Principal AI Site Reliability Engineer role at Oracle Health requires strong skills in cloud infrastructure design and automation (OCI, AWS/Azure), distributed systems, performance optimization, data warehousing, and ETL frameworks. You should also be proficient with tools like Terraform, Docker, Kubernetes, observability stacks (Prometheus, Grafana), and programming languages such as Python, Java, or Go.
- Does the Principal AI Site Reliability Engineer position at Oracle Health require U.S. citizenship?
- Yes, U.S. citizenship is a requirement for this Principal AI Site Reliability Engineer position at Oracle Health. The successful candidate will need to obtain and maintain a U.S. government security clearance after hire.
- What kind of experience is expected for the Principal AI Site Reliability Engineer role at Oracle?
- We are looking for candidates with at least 7 years of experience in software engineering, cloud infrastructure, SRE, or DevOps. Proven ownership of production system reliability in cloud environments is essential, along with core expertise in cloud infrastructure design, automation, distributed systems, performance optimization, data warehousing, and ETL frameworks.
- How does Oracle Health incorporate AI into its Site Reliability Engineering practices for this role?
- The Principal AI Site Reliability Engineer will contribute to advancing AI-assisted reliability practices. This includes enhancing observability and alerting, supporting automated incident detection and remediation, and exploring intelligent automation for infrastructure lifecycle management, all within the context of operating the Oracle Health Patient Portal.
- What is the salary range for the Principal AI Site Reliability Engineer position at Oracle in the US?
- The hiring range for this position in the US is from $99,600 to $234,600 annually. The final salary may vary based on factors such as knowledge, skills, experience, market conditions, and location. The role may also be eligible for bonus, equity, and compensation deferral.
- What are the benefits offered for the Principal AI Site Reliability Engineer role at Oracle?
- Oracle offers a comprehensive benefits package including medical, dental, and vision insurance, disability and life insurance, flexible spending accounts, a 401(k) savings plan with company match, paid time off (vacation, holidays, sick leave), parental leave, adoption assistance, and an employee stock purchase plan.