Remote SRE: Live Incident Troubleshooter & Platform Engineer

Patronus AI, Inc.; Oregon; Hybrid; USD 170,000 - 243,000; Full time

Benefits offered by this job

Paid trial session

Remote work

Job summary

Patronus AI, Inc. is recruiting a production systems engineer for live, on-call style reliability sessions. You will work with engineers on a sandboxed stack (Kubernetes, Prometheus, Grafana, Helm, Terraform) to assess scenarios, fix issues, and document resolutions.

Strong focus on reasoning, correctness, and clear communication in English. Ideal candidates have 3+ years of production experience, hands-on with the listed tools, and a track record of analyzing dashboards, logs, and incidents.

Qualifications

• 3+ years running production systems with on-call experience in the last 2 years.
• Hands-on with Kubernetes, Prometheus and Grafana, or comparable tools.
• Familiar with a log stack (Loki/ELK/Splunk) and infrastructure as code (Terraform/Helm).
• Proficient in Python, Go or Bash and reading unfamiliar codebases.
• Ability to explain reasoning aloud in professional English.
• Reliable for live sessions and able to provide evidence for conclusions.

Responsibilities

• Work live with a research team on production-style reliability scenarios.
• Read dashboards/logs, write PromQL and LogQL, fix Helm/Kubernetes configs.
• Roll back bad deploys and write post-mortems.
• Explain fixes considered and rejected as you work.
• Review scenarios for realism, completeness, and gaps.
• Write notes after sessions on approach and verifications.

Skills

Kubernetes

Prometheus & Grafana

Logging stack (Loki/ELK/Splunk)

Terraform & Helm

CI/CD

Python / Go / Bash

English communication

Job description

Patronus AI, Inc. is recruiting a production systems engineer for live, on-call style reliability sessions. You will work with engineers on a sandboxed stack (Kubernetes, Prometheus, Grafana, Helm, Terraform) to assess scenarios, fix issues, and document resolutions.

Strong focus on reasoning, correctness, and clear communication in English. Ideal candidates have 3+ years of production experience, hands-on with the listed tools, and a track record of analyzing dashboards, logs, and incidents.