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Site Reliability Engineer

Owns production infrastructure for clinical AI platform, ensuring 99.9%+ stability. Designs/scales Kubernetes-based systems, optimizes TypeScript/Python/ML CI/CD pipelines, and manages Terraform IaC in high-velocity environment.

200k – 275kSan Francisco, CADevOps / SREOnsite
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About the role

Responsibilities

  • Own the entire production environment and improve the development experience.
  • Design, implement, and maintain the production environment, having previously handled 500+ machine deployments.
  • Own containerized infrastructure, leveraging deep expertise in Kubernetes and Helm to manage deployment, scaling, and operational health.
  • Optimize and streamline both TypeScript and Python/ML deployment pipelines to support high-velocity feature release while maintaining highest reliability.
  • Support Developer Experience (DevX) work to streamline developer workflows, enhance tool proficiency, and improve CI/CD systems.
  • Manage and maintain infrastructure definitions using Terraform.

Requirements

  • Deep, demonstrable experience with Kubernetes, Helm, and Terraform.
  • Proven ability to architect and maintain complex, distributed systems with high-availability requirements.
  • Hands-on experience optimizing deployment pipelines for both application code (TypeScript) and machine learning models (Python/ML).
  • Experience with PostgreSQL, Redis, Kafka.
  • Excitement about working five days per week in San Francisco office.
  • Intensity and technical mastery to own mission-critical infrastructure; thrive on owning complex systems, scaling deployments, automating, and problem-solving.

Skills

KubernetesHelmTerraformTypeScriptPythonCI/CDPostgresRedisKafkaInfrastructure As Code

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