Site Reliability Engineer

Evlo AI; Minneapolis (MN); On-site; USD 120,000 - 180,000; Full time

Job summary

Evlo AI is seeking a Site Reliability Engineer to own the reliability, scalability, and performance of distributed cloud infrastructure supporting production workloads in Minneapolis. You will collaborate with platform and software squads to automate provisioning and maintain high availability.

The role emphasizes observability, incident response, and preventive improvements across the stack, with on-call rotations and a strong focus on automation and resilience.

Qualifications

• 3-6 years of experience in site reliability engineering, DevOps, or systems engineering in large-scale production environments.
• Deep expertise in Kubernetes administration, containerization, and cloud-native networking principles.
• Strong proficiency in infrastructure-as-code tooling, specifically Terraform and Ansible.
• Hands-on experience with Prometheus, Grafana, Datadog and log aggregation platforms like ELK or Loki.
• Proficiency in Python, Go, or Bash for automation tasks.
• Bonus: Istio, chaos engineering experience or AWS/GCP professional certifications.

Responsibilities

• Architect, deploy, and manage production infrastructure using Terraform and Kubernetes across multi-region clouds.
• Design and implement observability pipelines with Prometheus, Grafana, and tracing tools.
• Define and maintain SLOs, SLIs, and error budgets for all critical production services.
• Automate incident response, root cause analysis, and remediation workflows.
• Perform post-mortems and implement preventive measures across the infrastructure stack.
• Participate in an on-call rotation to handle production incidents and ensure rapid recovery.

Skills

Python

Go

Bash

Automation

On-call experience

Cloud-native networking

Tools

Kubernetes

Terraform

Ansible

Prometheus

Grafana

Datadog

ELK

Loki

Istio

AWS

GCP

Job description

About The Role

The role owns the reliability, scalability, and performance of distributed cloud infrastructure supporting core production workloads at scale. The team works closely with platform and software engineering squads to automate infrastructure provisioning, eliminate toil, and maintain high availability standards.

Key Responsibilities

• Architect, deploy, and manage production infrastructure using Terraform and Kubernetes across multi-region cloud environments
• Design and implement comprehensive observability pipelines using Prometheus, Grafana, and distributed tracing tools to monitor system health and latency
• Define and maintain service level objectives (SLOs), service level indicators (SLIs), and error budgets for all critical production services
• Automate incident response, root cause analysis, and remediation workflows to minimize downtime and prevent recurring outages
• Conduct thorough post-mortems and implement systematic preventive measures across the infrastructure stack
• Participate in an on-call rotation to handle production incidents and ensure rapid recovery from system anomalies

What We Are Looking For

• 3-6 years of experience in site reliability engineering, DevOps, or systems engineering in large-scale production environments
• Deep expertise in Kubernetes administration, containerization, and cloud-native networking principles
• Strong proficiency in infrastructure-as-code tooling, specifically Terraform and Ansible
• Hands-on experience with modern observability stacks (Prometheus, Grafana, Datadog) and log aggregation platforms (ELK, Loki)
• Proficiency in at least one scripting or programming language such as Python, Go, or Bash for automation tasks
• Bonus: Experience with service mesh technologies like Istio, chaos engineering practices, or holding AWS/GCP professional certifications