F
Site Reliability Engineer
Fabric
- Location
- Remote (New York City, New York · Remote, New York)
- Compensation
- $135k - $160k/yr
- Employment
- Full-time
- Level
- Senior Level
Posted 1 week ago
About the Role
Fabric is seeking a Site Reliability Engineer to own and evolve the infrastructure powering healthcare experiences for millions of patients. This role bridges traditional infrastructure excellence with AI-driven operations, focusing on AWS and Kubernetes environments.
Skills
AWS
Kubernetes
EKS
Terraform
Datadog
GitHub Actions
Python
Bash
Ruby
Go
Infrastructure as Code
CI/CD
Observability
HIPAA Compliance
Incident Management
SRE
Benefits
- Medical
- Dental
- Vision
- 401(k) Plan
Perks
- Unlimited PTO
- Stock Options
- Bonuses
Full job details
About the Role
As a Site Reliability Engineer, you will own and evolve the infrastructure powering healthcare experiences for millions of patients. This role bridges the gap between traditional infrastructure excellence and the future of AI-driven operations. You will act as a primary architect for our AWS and Kubernetes (EKS) environment, ensuring the platform is resilient, scalable, and compliant while exploring how agentic workflows can modernize SRE practices.
What You'll Do
As a Site Reliability Engineer, you will be a steward of Fabric’s production integrity, leading the strategy for infrastructure automation, observability, and system resilience. Your primary responsibilities include:
- Infrastructure & Kubernetes Orchestration
- Designing, deploying, and maintaining production Kubernetes (EKS) clusters to ensure enterprise-grade availability for our users.
- Eliminating manual configuration by building and managing a scalable infrastructure state entirely through Terraform.
- Optimizing the AWS footprint—specifically EC2, RDS, and S3—to balance high performance with cost-efficiency and reliability.
- AI-Assisted Operations & Automation
- Exploring and deploying agentic workflows for AI-assisted runbooks that automate complex operational decisions and repetitive tasks.
- Building and evolving deployment pipelines using GitHub Actions or Semaphore to ensure delivery is both rapid and safe.
- Focusing on toil reduction by developing internal tools that replace manual operational work with intelligent, autonomous systems.
- Observability & Incident Management
- Driving the evolution of the observability stack in Datadog by implementing the sophisticated metrics, traces, and logs needed to meet SLOs.
- Leading incident response efforts and facilitating the blameless postmortems that help systematically reduce recovery time (MTTR).
- Defining and monitoring the SLIs and SLOs that ensure the platform consistently meets rigorous healthcare performance standards.
- Compliance & Collaboration
- Ensuring every piece of infrastructure remains fully compliant with HIPAA and other critical healthcare regulatory requirements.
- Mentoring engineers across the company on reliability best practices and contributing a clinical-safety perspective to cross-functional design reviews.
Why You Might Be a Good Fit
- You are a deeply proficient engineer who excels at the intersection of cloud infrastructure, automation, and system design.
- You possess a meticulous approach to observability and a passion for finding the "root cause" rather than just applying a patch.
- You enjoy exploring the "next frontier" of SRE, including how AI and agentic tools can make operations more efficient.
- You thrive in fast-paced environments where technical rigor is balanced with pragmatism and clinical-grade safety.
This Might Not Be The Right Fit If...
- You prefer working on static infrastructure rather than evolving systems through code and automation.
- You are uncomfortable with the "agile" pace of tech-driven platform development or integrating AI tools into your daily workflow.
- You prefer a siloed role that does not involve active participation in incident response or collaborative postmortems.
Your Qualifications
- 5+ years of experience in SRE, DevOps, or Platform roles managing production environments at scale.
- Expert technical depth in AWS (EKS, EC2, RDS, S3) and production-grade Kubernetes management.
- Proficiency with modern tooling including Terraform (IaC), Datadog (Observability), and CI/CD systems.
- Deeply proficient coding and scripting skills in Python, Bash, Ruby, or Go.
- Preferred experience building agentic workflows or AI-assisted tooling to drive operational efficiency.
- A "rigor-first" mindset with a dedication to HIPAA-compliant, high-availability architecture.