About the job
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.
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
Qualifications
Minimum
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
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
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
Advanced competency in CI/CD pipelines (Jenkins, Kubernetes)
Infrastructure as Code (Terraform)
Observability tools (Prometheus, Grafana)
Strong focus on automation-first operations
Proficiency in Data Warehousing platforms (e.g., Vertica, Snowflake)
Experience with ETL frameworks and large-scale data processing
Understanding of columnar storage systems
Experience supporting or integrating BI tools (Tableau, Power BI, Oracle Analytics)
Strong proficiency in Python, Java, or Go
Experience with Docker, Kubernetes, and shell scripting
Strong troubleshooting skills with ability to perform root-cause analysis
Experience resolving complex production issues in distributed systems
4+ years of software engineering, cloud infrastructure, SRE, or DevOps experience
Proven ownership of production system reliability in cloud environments
Preferred
Experience in healthcare or regulated environments (HIPAA, compliance frameworks)
Experience working in environments requiring security clearance
Experience building self-healing or autonomous infrastructure systems