Senior Site Reliability Engineer

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, Ora*** 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 Ora*** 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 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