Site Reliability Engineer

Job summary

Fab*** is seeking a Site Reliability Engineer to own and evolve the infrastructure powering healthcare experiences for millions of patients. This role involves bridging traditional infrastructure excellence with AI-driven operations, acting as a primary architect for AWS and Kubernetes (EKS) environments, and exploring agentic workflows to modernize SRE practices. The engineer will be a steward of Fabric’s production integrity, leading strategy for infrastructure automation, observability, and system resilience.

Benefits

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

Responsibilities

• Own and evolve the infrastructure powering healthcare experiences for millions of patients
• Act as a primary architect for AWS and Kubernetes (EKS) environment
• Ensure the platform is resilient, scalable, and compliant
• Explore how agentic workflows can modernize SRE practices
• Be a steward of Fabric’s production integrity
• Lead the strategy for infrastructure automation, observability, and system resilience
• Design, deploy, and maintain production Kubernetes (EKS) clusters to ensure enterprise-grade availability
• Eliminate manual configuration by building and managing scalable infrastructure state through Terraform
• Optimize the AWS footprint (EC2, RDS, S3) for performance, cost-efficiency, and reliability
• Explore and deploy agentic workflows for AI-assisted runbooks to automate complex operational decisions and repetitive tasks
• Build and evolve deployment pipelines using GitHub Actions or Semaphore for rapid and safe delivery
• Focus on toil reduction by developing internal tools that replace manual operational work with intelligent, autonomous systems
• Drive the evolution of the observability stack in Datadog by implementing sophisticated metrics, traces, and logs to meet SLOs
• Lead incident response efforts and facilitate blameless postmortems to systematically reduce recovery time (MTTR)
• Define and monitor SLIs and SLOs to ensure the platform consistently meets rigorous healthcare performance standards
• Ensure all infrastructure remains fully compliant with HIPAA and other critical healthcare regulatory requirements
• Mentor engineers across the company on reliability best practices
• Contribute a clinical-safety perspective to cross-functional design reviews

Skills

Languages

Industry

Relocation