Senior AI Site Reliability Engineer
Oracle · United States
- Hybrid
- Full-time
- $140,000 / year
- United States
Tailored resume — keyword-matched to this role.
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Job highlights
- Build and operate scalable, reliable health patient portal infrastructure.
- Advance cloud operations with automation, observability, and AI.
- Troubleshoot complex production issues in distributed systems.
- Utilize CI/CD, IaC, and observability tools.
- Collaborate with global teams on robust, high-performance solutions.
About the role
About the Role
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.
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, and 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.
Key Skills/Competency
- Site Reliability Engineering (SRE)
- Artificial Intelligence (AI)
- Cloud Infrastructure
- Distributed Systems
- Automation
- Observability
- CI/CD
- Kubernetes
- Python
- Terraform
Skills & topics
- Site Reliability Engineer
- AI
- Cloud Infrastructure
- DevOps
- Kubernetes
- Terraform
- Python
- Observability
- Distributed Systems
- Automation
- OCI
- AWS
- Azure
- Jenkins
- Prometheus
- Grafana
- Docker
- Java
- Go
- Healthcare IT
- HIPAA
How to get hired
- Tailor your resume: Highlight your 7+ years of experience in SRE, DevOps, or cloud infrastructure, emphasizing high-availability systems and distributed computing.
- Showcase technical skills: Detail your expertise in Python, Java, or Go, CI/CD pipelines (Jenkins, Kubernetes), Infrastructure as Code (Terraform), and observability tools (Prometheus, Grafana).
- Demonstrate problem-solving: Provide examples of your root-cause analysis and production troubleshooting experience in complex, distributed environments.
- Emphasize AI and automation: Clearly articulate your experience in applying AI-assisted reliability practices and automation-first operations.
- Understand Oracle's culture: Research Oracle's commitment to AI, cloud solutions, and their impact on healthcare to align your application.
Technical preparation
Master Python, Java, or Go for automation and scripting.,Deep dive into Kubernetes and CI/CD pipeline configuration.,Practice Terraform for infrastructure as code management.,Build dashboards with Prometheus and Grafana for observability.
Behavioral questions
Describe a complex production issue you resolved.,How have you improved system reliability through automation?,How do you handle on-call duties and incident response?,How do you collaborate with development teams on architecture?
Frequently asked questions
- What are the key responsibilities of a Senior AI Site Reliability Engineer at Oracle?
- The Senior AI Site Reliability Engineer at Oracle is responsible for building and operating the Oracle Health Patient Portal infrastructure. This includes designing, developing, and maintaining highly reliable and scalable systems, advancing cloud operations through automation, observability, and AI-assisted reliability practices, and collaborating with a global team to ensure precision, performance, and operational excellence.
- What technical skills are most important for this Senior AI Site Reliability Engineer role at Oracle?
- Key technical skills for this role include experience with high-availability, fault-tolerant systems, distributed systems, performance monitoring, and resiliency patterns. Proficiency in cloud environments like OCI, AWS, or Azure, CI/CD pipelines (Jenkins, Kubernetes), Infrastructure as Code (Terraform), observability tools (Prometheus, Grafana), and programming languages such as Python, Java, or Go are crucial. Experience with Docker and Kubernetes is also highly valued.
- Does Oracle offer opportunities for growth and learning in AI and cloud operations for this role?
- Yes, Oracle emphasizes advancing automation, observability, and AI-assisted reliability practices. This role directly contributes to the next evolution of cloud operations, offering significant opportunities to work with cutting-edge AI technologies and contribute to innovative cloud solutions that impact billions of lives.
- What is Oracle's approach to problem-solving and operational excellence in SRE?
- Oracle's approach to problem-solving and operational excellence for SREs involves strong troubleshooting skills, performing root-cause analysis, and resolving complex production issues in distributed systems. They emphasize an automation-first mindset, applying DevOps/SRE practices to automate deployments and operations, and enhancing observability using AI-driven insights for continuous improvement.
- What kind of experience is preferred for a Senior AI Site Reliability Engineer at Oracle, especially in regulated environments?
- Preferred qualifications include experience in healthcare or regulated environments (HIPAA, compliance frameworks), experience working in environments requiring security clearance, and experience building self-healing or autonomous infrastructure systems. This indicates a need for robust, secure, and compliant system management.
- How does Oracle support its employees with benefits and career development for roles like Senior AI Site Reliability Engineer?
- Oracle offers a comprehensive benefits package including medical, dental, and vision insurance, disability and life insurance, 401(k) with company match, flexible vacation, paid holidays, and sick leave. They also provide opportunities for growth in a company leading the way in AI and cloud solutions.