Remote SRE: Cloud Reliability for AI-Driven Logistics

outpost; United States; Remote; USD 140,000 - 180,000; Full time

Job summary

Outpost is hiring a Senior SRE to own uptime and incident response as the platform scales. You will lead reliability targets across backend, API, and ML pipelines, enhance monitoring, and build auto-remediation.

You’ll partner with engineering to triage alerts and improve system resilience, with on-call duties and blameless postmortems. You will collaborate across a small, mission-critical team building a real-time, scalable logistics platform that supports critical freight operations globally.

Qualifications

• 4+ years in an SRE, infrastructure, or backend role with production on-call ownership.
• Deep experience with a major cloud provider (GCP preferred).
• Experience building monitoring/alerting/observability stacks (Grafana, Prometheus, Datadog, etc.).
• Strong scripting/automation skills (Python, Bash, or similar).
• Comfortable with containerized workloads (Docker) and CI/CD pipelines.
• Track record of reducing incident volume and improving reliability metrics.
• Strong English communication, able to engage with technical and non-technical stakeholders.

Responsibilities

• Own reliability targets across backend/API, worker services, and pipelines.
• Level up monitoring/alerting and implement auto-remediation at scale.
• Collaborate to build agents for alert triage and routine remediation.
• Harden and optimize GCP infrastructure for cost and performance.
• Own database scale, queries, read replicas, and capacity planning.
• Improve ML training/monitoring infrastructure reliability with CV/ML teams.
• Run blameless postmortems and drive root-cause fixes.
• Participate in on-call rotation.

Skills

SRE experience

GCP expertise

Monitoring stack

Scripting: Python/Bash

Docker & CI/CD

Reliability metrics

English communication

Tools

Grafana

Prometheus

Zabbix

Datadog

Job description

Outpost is hiring a Senior SRE to own uptime and incident response as the platform scales. You will lead reliability targets across backend, API, and ML pipelines, enhance monitoring, and build auto-remediation.

You’ll partner with engineering to triage alerts and improve system resilience, with on-call duties and blameless postmortems. You will collaborate across a small, mission-critical team building a real-time, scalable logistics platform that supports critical freight operations globally.