Senior Site Reliability Engineer

Garner Health is transforming the U.S. healthcare system by helping employers improve care quality and reduce costs through clinical data, incentives, and AI. The Senior Site Reliability Engineer will own the reliability, performance, and resilience of cloud infrastructure supporting Garner’s products and AI/ML workloads, while leading incident response, observability, automation, scaling, and security compliance efforts.

Responsibilities:

• Run the Machine: Own the end-to-end reliability, performance, and resilience of Garner's cloud environments (AWS, Kubernetes), including those powering AI/ML workloads; define, measure, and uphold SLOs across our critical services
• Lead Incident Response: Serve in the on-call rotation, lead incident response, and drive deep-dive root cause analysis, seeing corrective actions through to resolution and rigorously reviewing infrastructure changes
• Own Observability: Build and maintain the monitoring, alerting, and observability systems that let us detect and resolve issues before users feel them
• Scale & Optimize: Translate ambiguous, high-performance scaling requirements into well-defined, automated, and composable infrastructure-as-code deliverables (Terraform); proactively identify and implement cost-efficiency and performance gains across the stack to maximize cloud ROI
• Automate Away Toil: Pay down impactful tech debt and reduce operational toil, using AI tools and automation to convert repetitive operational work into hands-free, monitored processes, and holding our internal platform to the same rigorous standards as our customer-facing products
• Enable Engineering: Build and maintain the deployment and observability standards that empower the broader engineering team to ship AI features faster and more reliably; communicate complex cloud and reliability concepts clearly to technical and non-technical stakeholders
• Uphold Security & Compliance: Ensure our infrastructure and operations meet Garner's security and HIPAA compliance obligations

Requirements:

• 4+ years of hands-on experience operating production cloud infrastructure at scale in an SRE, DevOps, or platform engineering role
• Deep expertise with Kubernetes and Terraform in a cloud-first environment (AWS preferred)
• A strong track record with production observability: defining SLOs, building monitoring and alerting, and leading incident response and blameless post-incident reviews
• Strong software engineering fundamentals in Python or Go, applied to infrastructure automation (experience with Kubernetes APIs a plus)
• Experience driving cloud cost-efficiency and performance optimization across compute, storage, and networking
• Fluency with AI tools (e.g., Claude) applied to real engineering and operations workflows, or strong motivation to build it fast
• A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
• Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ
• We are unable to sponsor or take over sponsorship of an employment visa at this time
• Experience supporting AI/ML or data-intensive workloads in production is a plus
• Experience operating in a security-conscious or regulated environment (HIPAA, SOC 2) is a plus