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Site Reliability Engineer
Fabric
New York, UAE
Full Time
Senior
1 months ago
AWSKubernetesTerraformDatadogPythonBash
Free
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AWSKubernetesTerraform
About the Role
Fabric Health is seeking a Site Reliability Engineer to own and evolve the infrastructure powering healthcare experiences for millions of patients. The role bridges traditional infrastructure excellence with AI-driven operations, focusing on AWS and Kubernetes (EKS) environment resilience, scalability, and compliance.
Key Skills for This Role
AWSKubernetesTerraformDatadogPythonBash
Responsibilities
- Design, deploy, and maintain production Kubernetes (EKS) clusters to ensure enterprise grade availability
- Eliminate manual configuration by building and managing a scalable infrastructure state entirely through Terraform
- Optimize the AWS footprint—specifically EC2, RDS, and S3—to balance high performance with cost efficiency and reliability
- Explore and deploy agentic workflows for AI assisted runbooks that automate complex operational decisions
- Build and evolve deployment pipelines using GitHub Actions or Semaphore to ensure rapid and safe delivery
- Drive the evolution of the observability stack in Datadog by implementing sophisticated metrics, traces, and logs
- Lead incident response efforts and facilitate blameless postmortems to reduce MTTR
- Define and monitor SLIs and SLOs to ensure the platform meets rigorous healthcare performance standards
- Ensure every piece of infrastructure remains fully compliant with HIPAA and other healthcare regulatory requirements
- Mentor engineers across the company on reliability best practices
Requirements
- 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
Full Job Posting
About Fabric Health
- At Fabric Health, we are powering boundless care by solving healthcare’s biggest challenge: clinical capacity.
- We unify the care journey from intake to treatment, using intelligent automation to remove administrative burdens and make care delivery 2 10x more efficient.
- We are a mission driven team of brilliant minds trusted by leading organizations including Intermountain Health, OSF HealthCare, SSM Health, and MUSC Health.
- Our vision is backed by premier investors such as Thrive Capital, GV (Google Ventures), General Catalyst, and Salesforce Ventures.
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
- 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.
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.
Compensation
- The national pay range for this role is $135,000.00 – $160,000.00 per year.
- Actual compensation will be determined by factors such as the candidate's geographic market, experience, skills, and qualifications.
- Certain roles may also be eligible for additional compensation, including a comprehensive benefits package such as medical, dental, vision, unlimited PTO, and a 401(k) plan, stock options and bonuses.
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