Senior SRE for Scalable Healthcare AI Platform

Tala Health; San Francisco (CA); Sur place; USD 180 000 - 240 000; Plein temps

Résumé du poste

Tala Health in San Francisco seeks a Site Reliability Engineer to build and maintain tooling, alerts and incident-response playbooks to keep latency low, data safe and uptime high as we scale sessions. You will define SLOs/SLAs, implement observability, automate infra with Terraform, Helm, and Kubernetes Operators, and lead on-call rotations.

The role requires 5+ years of SRE/DevOps on AWS/GCP/Azure, Kubernetes, monitoring stacks, scripting in Python/Go/Bash, and security-minded experience in

Qualifications

• 5+ years SRE/DevOps experience running production workloads on AWS, GCP or Azure.
• Mastery of Kubernetes, service meshes, load balancers and CDN tuning.
• Hands-on with monitoring & logging stacks (Prometheus, Grafana, OpenTelemetry, ELK).
• Strong scripting or programming skills in Python, Go or Bash.
• Familiarity with relational and NoSQL databases, caches and message brokers.
• Security-first mindset and experience in regulated or high-stakes environments.

Responsabilités

• Define and uphold SLOs/SLAs for critical services, running capacity planning and chaos drills.
• Build observability pipelines—metrics, logs, traces—so issues surface before users notice.
• Automate infra provisioning and config with Terraform, Helm and Kubernetes Operators.
• Lead on-call rotations, drive root-cause analyses, and document post-mortems for continuous learning.
• Optimize cost and performance of microservices, databases and real-time model endpoints.
• Manage backups, disaster-recovery plans, secrets and certificate lifecycles in line with HIPAA.

Connaissances

SRE/DevOps

Kubernetes

Monitoring stacks

Python/Go/Bash

Databases & Caches

Security mindset

Cloud platforms

Outils

Terraform

Helm

Kubernetes Operators

Prometheus

Grafana

OpenTelemetry

ELK Stack

Description du poste

Tala Health in San Francisco seeks a Site Reliability Engineer to build and maintain tooling, alerts and incident-response playbooks to keep latency low, data safe and uptime high as we scale sessions. You will define SLOs/SLAs, implement observability, automate infra with Terraform, Helm, and Kubernetes Operators, and lead on-call rotations.

The role requires 5+ years of SRE/DevOps on AWS/GCP/Azure, Kubernetes, monitoring stacks, scripting in Python/Go/Bash, and security-minded experience in