Site Reliability Engineer: Scale & Automation

Evlo AI; San Francisco (CA); On-site; USD 140,000 - 180,000; Full time

Job summary

Evlo AI is seeking a Site Reliability Engineer to own production systems, spanning Kubernetes, cloud networking, observability, and automated delivery at scale. You will partner with software and platform teams to reduce toil and improve uptime, latency, and recovery.

You will design highly available infrastructure across AWS/GCP/Azure, build observability with Prometheus and Grafana, and lead incident response with clear post-incident actions.

Qualifications

• 3–8 years of experience in site reliability engineering or a related role.
• Hands-on experience operating Kubernetes and containerized workloads in production.
• Experience with at least one cloud platform (AWS, GCP, or Azure) and infrastructure as code (Terraform).
• Experience building observability with metrics, logs, and traces (Prometheus, Grafana, OpenTelemetry, Datadog).
• Programming or scripting ability in Go, Python, or Bash for automation.
• Incident management, on-call, and root-cause analysis experience.
• BS in CS/engineering or equivalent; bonus for service meshes, Argo CD, Kafka, multi-region, chaos engineering.

Responsibilities

• Design and operate highly available production infrastructure on AWS, GCP, or Azure using Kubernetes, Terraform, and managed data services.
• Build and maintain observability systems to track service health, latency, capacity, and error budgets.
• Automate deployment, scaling, and recovery workflows through CI/CD pipelines and IaC.
• Lead incident response for production outages and document post-incident analyses.
• Define and enforce SLOs, SLIs, and reliability practices across critical services.
• Improve system performance and resilience with load testing and disaster-recovery exercises.
• Collaborate on architecture reviews and safe rollout strategies including canary and blue-green deployments.

Skills

Kubernetes operations

Cloud platforms

Automation scripting

Education

Bachelor's degree in CS/engineering or related field

Tools

Terraform

Prometheus

Grafana

OpenTelemetry

Datadog

Job description

Evlo AI is seeking a Site Reliability Engineer to own production systems, spanning Kubernetes, cloud networking, observability, and automated delivery at scale. You will partner with software and platform teams to reduce toil and improve uptime, latency, and recovery.

You will design highly available infrastructure across AWS/GCP/Azure, build observability with Prometheus and Grafana, and lead incident response with clear post-incident actions.