Senior AI Site Reliability Developer 3

About the Position

Senior AI Site Reliability Developer 3

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.

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.

Requirements

• 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

  • Hands-on experience applying Generative AI or Agentic AI 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.

Nice to Have

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

We Offer

• Competitive salary range from $83,000 to $187,000 per annum. May be eligible for bonus and equity.
• Comprehensive benefits package including:
  • Medical, dental, and vision insurance
  • Short term and long term disability
  • Life insurance and AD&D
  • Supplemental life insurance
  • Health care and dependent care Flexible Spending Accounts
  • Pre-tax commuter and parking benefits
  • 401(k) Savings and Investment Plan with company match
  • Paid time off, holidays, and parental leave
  • Adoption assistance
  • Employee Stock Purchase Plan
  • Financial planning and group legal
  • Voluntary benefits

About the Company

Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law.