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Site Reliability Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Fabric
Full Time position
Listed on 2026-09-14
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Systems Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

At Fabric Health, we are powering boundless care by solving healthcare's biggest challenge: clinical capacity. We aren't here to disrupt healthcare; we're here to fix it. We unify the care journey from intake to treatment, using intelligent automation to remove administrative burdens and make care delivery 2-10x more efficient. Our technology empowers clinicians to move faster and focus on what matters most: the patient.

About

Fabric Health

We are a mission-driven team of brilliant minds trusted by leading organizations including Intermountain Health, OSF Health Care, SSM Health, and MUSC Health. Our vision is backed by premier investors such as Thrive Capital, GV (Google Ventures), General Catalyst, and Salesforce Ventures. We move quickly for good reason, listen deeply to solve big challenges, and build products with the same care and quality we'd want for our own loved ones.

Learn more:
About Us | News & Press | Linked In | Careers

About

The Role

We are looking for a Site Reliability Engineer to help us evolve and safeguard the infrastructure powering healthcare experiences for millions of patients, all while keeping operational toil to a minimum for the Fabric tech community.

What You'll Do
  • Infrastructure & Kubernetes Orchestration
    • Designing, deploying, and maintaining Kubernetes (EKS) clusters for enterprise-grade availability.
    • Optimizing the footprint of infrastructure objects across core AWS services (EC2, RDS, S3) for performance, cost, and reliability.
    • Evolving a scalable infrastructure management platform, with the right interfaces and guardrails to maximize engineering agency at minimal cognitive load.
    • Defining golden paths for workload orchestration and integration with infrastructure dependencies, ensuring the right way to do things is also the easiest.
  • Automation & AI-Assisted Operations
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