Site Reliability Engineer

Evlo AI; Denver (CO); On-site; USD 120,000 - 180,000; Full time

Job summary

Evlo AI is seeking an experienced Site Reliability/DevOps Engineer to keep large-scale production systems reliable, observable, and fast. You will own Kubernetes clusters, CI/CD pipelines, and the observability stack used by hundreds of engineers to ship daily.

You will define SLOs, instrument everything, automate toil away, and lead blameless postmortems. The role places you on‑call for production services handling significant traffic.

Qualifications

• 3–7 years of experience in SRE, DevOps, or infrastructure engineering with on‑call rotations.
• Production Kubernetes ownership: diagnosing and resolving outages and performance issues.
• Strong infrastructure‑as‑code skills (Terraform) and scripting in Python, Go, or Bash.

Responsibilities

• Operate and scale Kubernetes-based infrastructure across environments, including upgrades and autoscaling.
• Build and maintain Terraform modules for provisioning cloud infrastructure (AWS or GCP).
• Design SLOs, SLIs, and error budgets with product teams and drive reliability improvements.

Skills

SRE/DevOps experience

Kubernetes production experience

Infrastructure as code

Scripting in Python/Go/Bash

Observability tools

Linux networking basics

Incident response & postmortems

GitOps / service meshes (bonus)

Education

BS in Computer Science or equivalent

Tools

Terraform

Kubernetes

GitHub Actions

ArgoCD

Prometheus

Grafana

OpenTelemetry

Job description

About The Role

The role focuses on keeping large-scale production systems reliable, observable, and fast. This team owns the infrastructure layer - Kubernetes clusters, CI/CD pipelines, and the observability stack that hundreds of internal engineers depend on to ship daily.

About The Role

The role focuses on keeping large-scale production systems reliable, observable, and fast. This team owns the infrastructure layer - Kubernetes clusters, CI/CD pipelines, and the observability stack that hundreds of internal engineers depend on to ship daily.

This is a hands‑on position for someone who treats reliability as a product problem: defining SLOs, instrumenting everything, automating away toil, and taking pages when systems misbehave. The team sits directly on‑call for services handling significant production traffic.

Key Responsibilities

• Operate and scale Kubernetes‑based infrastructure across multiple environments, including cluster upgrades, autoscaling policies, and node lifecycle management
• Build and maintain Terraform modules for provisioning cloud infrastructure (AWS or GCP), enforcing infrastructure‑as‑code practices across the org
• Design SLOs, SLIs, and error budgets with product teams, and drive reliability improvements through error budget policy decisions
• Instrument services with Prometheus, Grafana, and OpenTelemetry; build dashboards and alerts that page on symptoms, not causes
• Lead incident response for production outages, write blameless postmortems, and follow through on action items to closure
• Automate operational toil out of existence - runbooks, self‑service tooling, and pipelines that remove manual steps from deploys and scaling operations
• Improve CI/CD pipelines (GitHub Actions, ArgoCD) to make deployments faster, safer, and progressively rolled out by default

What We Are Looking For

• 3–7 years of experience in SRE, DevOps, or infrastructure engineering, including ownership of production systems with real on‑call rotations
• Deep hands‑on experience with Kubernetes in production: operating clusters, troubleshooting workloads, and managing controllers/operators
• Strong infrastructure‑as‑code skills with Terraform (or equivalent), plus scripting proficiency in Python, Go, or Bash
• Experience running observability tooling in production: Prometheus, Grafana, distributed tracing (OpenTelemetry or similar)
• Practical understanding of Linux systems, networking fundamentals (DNS, TLS, load balancing), and container internals
• Track record of leading incident response and writing postmortems that actually change engineering practice
• Bonus: Experience with service meshes (Istio/Linkerd), chaos engineering, GitOps workflows, or cloud cost optimization; BS in Computer Science or equivalent practical experience