Senior Site Reliability Engineer

Job summary

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.

Qualifications

• citizenship is required for this position, as the successful candidate will be required to obtain (and maintain) a U.
• Required
• 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

• 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.
• 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.
• 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

Degrees

Work schedule

Industry

Company size

Security clearance