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
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Experience building and operating high-availability, fault-tolerant systems
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Strong understanding of distributed systems, performance monitoring, and resiliency patterns
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Experience with incident response, root-cause analysis, and production troubleshooting
AI-Native Engineering (NEW)
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Hands-on experience applying Generative AI or Agentic AI (e.g., LangChain, AutoGPT, custom agents) to:
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Infrastructure lifecycle management
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Observability and anomaly detection
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Incident response and remediation automation
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Ability to design or integrate AI-driven workflows for operational efficiency and reliability
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Familiarity with building or integrating autonomous agents for DevOps/SRE use cases
Cloud & Multi-Cloud Ecosystems
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Strong experience with multi-cloud environments (OCI, AWS/Azure)
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Deep understanding of cloud infrastructure design, deployment, and resource optimization
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Experience managing hybrid or cross-cloud architectures
DevOps/SRE Practices
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Advanced competency in CI/CD pipelines (Jenkins, Kubernetes)
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Infrastructure as Code (Terraform)
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Observability tools (Prometheus, Grafana)
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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
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Strong proficiency in Python, Java, or Go
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Experience with Docker, Kubernetes, and shell scripting
Problem-Solving
Internal Responsibilities
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
Develop & Maintain
Implement and optimize infrastructure for Oracle HDI Analytics Platform
Ensure system uptime, reliability, and scalability
AI-Driven Automation (NEW)
Data Pipeline Execution
Operational Excellence
Cloud Integration
Support multi-cloud initiatives across OCI, AWS, and Azure
Optimize cost, performance, and compliance across environments
Incident Response
Collaboration
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
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
External Responsibilities
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
Develop & Maintain
Implement and optimize infrastructure for Oracle HDI Analytics Platform
Ensure system uptime, reliability, and scalability
AI-Driven Automation (NEW)
Data Pipeline Execution
Operational Excellence
Cloud Integration
Support multi-cloud initiatives across OCI, AWS, and Azure
Optimize cost, performance, and compliance across environments
Incident Response
Collaboration
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
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
