Senior Site Reliability Engineer

Skip to main content. sitemap Profile Sign Out View More Jobs Senior Site Reliability Engineer United States Job Identification 338720 Job Category Product and Research Posting Date 06/30/2026, 07:59 PM Role Individual Contributor Job Type Regular Employee Does this position require a security clearance? No Years 3 to 5+ years Additional Info Visa / work permit sponsorship is not available for this position Applicants are required to read, write, and speak the following languages English Job Description 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...