Senior 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

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