Staff Site Reliability Engineer

SmarterDx is a clinical AI company transforming how hospitals translate care into payment. They are seeking a Staff Site Reliability Engineer to lead the reliability, scalability, and operational excellence of their production systems, implementing SRE practices and enhancing system observability.

Responsibilities:

• Define and evolve reliability standards for the SmarterDx platform, including SLIs, SLOs, and error budgets that align engineering work with customer impact
• Implement a “reliability” platform using Terraform and infrastructure-as-code best practices
• Enhance observability systems (metrics, logs, traces, alerting) to provide actionable insights and reduce mean time to detect (MTTD) and resolve (MTTR)
• Lead incident response, drive blameless postmortems, and implement systemic improvements to prevent recurrence
• Reduce operational toil through automation, self-healing systems, and improved deployment and rollback mechanisms
• Provide production support for the SmarterDx platform, applying SRE principles to ensure availability, performance, and data durability
• Research, prototype, and advocate for new reliability practices, tooling, and architectural improvements across the engineering organization

Requirements:

• 10+ years of software and software reliability engineering experience, with significant time spent operating and scaling distributed systems in production environments
• 3+ years of hands-on experience running cloud-native infrastructure in AWS, including deep familiarity with containers, Kubernetes, monitoring, and alerting in live production systems
• Proven experience defining and managing SLIs/SLOs, leading incident response, and driving postmortems and systemic reliability improvements
• Strong expertise with Terraform and infrastructure-as-code practices for managing production infrastructure safely and reproducibly
• Deep experience with Kubernetes architecture and operations, including workload reliability, cluster scaling, networking, and failure modes
• Experience working in security-conscious, compliance-oriented environments where reliability and data protection are first-class concerns
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field — or equivalent practical experience operating large-scale systems
• Reliability engineering experience with production database systems (e.g. Postgres)