Site Reliability Engineer

SRE

Location:

San Francisco, CA (5 Days In-Office)

You are the infrastructure expert who enables our rapid product development and guarantees 99.9%+ stability and performance of our clinical AI platform for major health systems. Your focus on operational excellence is directly tied to a patient's access to life-saving treatment.

You have the intensity and technical mastery to own mission-critical infrastructure. You hold yourself and others to high standards and thrive in a high-energy, in-office culture where everyone is in it to win it.

• Tool Proficiency:
  You are highly proficient with your tools—you speak command line fluently and have mastered keyboard shortcuts.

• Ownership:
  You thrive on owning complex systems and have a proven track record of scaling mission-critical deployments.

• Automation Drive:
  You love automating things, always finding new ways to increase your own leverage, and defining standards for operational excellence.

• Problem Solver:
  You won't wait for someone else to solve a problem that you're in a position to solve; you are willing to jump into whatever needs to get done.

As our SRE, you will own the entire production environment and improve the development experience:

• Infrastructure Ownership:
  Design, implement, and maintain the production environment, having previously handled 500+ machine deployments.

• Kubernetes Mastery:
  Own our containerized infrastructure, leveraging deep expertise in Kubernetes and Helm to manage deployment, scaling, and operational health.

• CI/CD & Deployment Optimization:
  Optimize and streamline both the Type Script and Python/ML deployment pipelines to support high-velocity feature release while maintaining the highest reliability.

• DevX Support:
  Support Developer Experience (DevX) work to streamline developer workflows, enhance tool proficiency, and improve CI/CD systems.

• Infrastructure as Code (IaC):
  Manage and maintain infrastructure definitions using Terraform.

• IaC & Orchestration:
  Deep, demonstrable experience with Kubernetes, Helm, and Terraform.

• Scaling Systems:
  Proven ability to architect and maintain complex, distributed systems with high-availability requirements.

• Deployment
  
  Experience:
  
  Hands-on experience optimizing deployment pipelines for both application code (Type Script) and machine learning models (Python/ML). Also PostgreSQL, Redis, Kafka.

• Core Team Member:
  Excitement about working five days per week in our San Francisco office.