Site Reliability Engineer

Evlo AI; Chicago (IL); 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 operational readiness of production systems on AWS and Kubernetes. You will automate infrastructure, improve observability, and lead incident response to minimize downtime and downtime impact.

You will collaborate with platform, application, and security engineers to improve service availability, deployment safety, and recovery time.

Qualifications

• Bachelor's degree in CS/engineering or related field, or equivalent practical experience.

Responsibilities

• Build and maintain highly available infrastructure on AWS using Terraform, Kubernetes, and automated CI/CD pipelines
• Define and improve service-level objectives, error budgets, and operational metrics for critical production services
• Develop observability solutions with Prometheus, Grafana, OpenTelemetry, and centralized logging platforms such as ELK or Datadog
• Lead incident response, coordinate technical recovery, and produce blameless postmortems with actionable follow-up work
• Automate provisioning, configuration management, deployments, and routine operational tasks using Python, Go, or Bash
• Harden production environments through capacity planning, disaster recovery testing, access controls, and infrastructure security practices
• Partner with software teams to improve system design, release processes, performance, and operational readiness before launch

Skills

SRE/DevOps

Platform engineering

Production infra

Incident response

Observability design

Automation scripting

Infrastructure as Code

Capacity planning

Disaster recovery

Release coordination

Kubernetes ops

Cloud fundamentals

Education

Bachelor’s degree or equivalent

Tools

Terraform

Kubernetes

OpenTelemetry

Prometheus

Grafana

ELK

Datadog

Python

Go

Bash

CI/CD pipelines

Argo CD

Helm

Kafka

PostgreSQL

Job description

About The Role

The Site Reliability Engineer owns the reliability, scalability, and operational readiness of production systems running across AWS and Kubernetes. The role focuses on infrastructure automation, observability, incident response, and eliminating recurring operational work through engineering.

About The Role

The Site Reliability Engineer owns the reliability, scalability, and operational readiness of production systems running across AWS and Kubernetes. The role focuses on infrastructure automation, observability, incident response, and eliminating recurring operational work through engineering.

You will partner with platform, application, and security engineers to improve service availability, deployment safety, and recovery time. The team manages systems where measurable uptime, predictable performance, and disciplined production operations are critical to customer experience.

Key Responsibilities

• Build and maintain highly available infrastructure on AWS using Terraform, Kubernetes, and automated CI/CD pipelines
• Define and improve service-level objectives, error budgets, and operational metrics for critical production services
• Develop observability solutions with Prometheus, Grafana, OpenTelemetry, and centralized logging platforms such as ELK or Datadog
• Lead incident response, coordinate technical recovery, and produce blameless postmortems with actionable follow-up work
• Automate provisioning, configuration management, deployments, and routine operational tasks using Python, Go, or Bash
• Harden production environments through capacity planning, disaster recovery testing, access controls, and infrastructure security practices
• Partner with software teams to improve system design, release processes, performance, and operational readiness before launch

What We Are Looking For

• 3–8 years of experience in site reliability engineering, DevOps, platform engineering, or production infrastructure roles
• Hands-on experience operating Kubernetes workloads and cloud infrastructure, preferably AWS services including EC2, EKS, IAM, RDS, S3, and CloudWatch
• Strong Infrastructure as Code experience with Terraform, including reusable modules, state management, and automated change workflows
• Proficiency with Linux systems, networking fundamentals, containers, and scripting in Python, Go, or Bash
• Experience building production observability and alerting practices using tools such as Prometheus, Grafana, Datadog, OpenTelemetry, or ELK
• Bachelor’s degree in computer science, engineering, or a related technical field, or equivalent practical experience
• Bonus: Experience with service mesh technologies, Argo CD, Helm, Kafka, PostgreSQL, chaos engineering, or formal SRE practices