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
  

• 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

• 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