Site Reliability Engineer

Evlo AI; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

Evlo AI is seeking an SRE/DevOps engineer to own the reliability, performance, and scalability of production systems including Kubernetes clusters and deployment pipelines.

You will operate on a platform team focused on reducing toil, defining SLOs, and enabling engineers to ship quickly without compromising stability across AWS or GCP. Strong hands-on Kubernetes and IaC experience are required.

Qualifications

• 3–7 years of experience in SRE/DevOps or infrastructure engineering.
• Hands-on Kubernetes administration and cloud cluster design.
• Proficient scripting in Go, Python, or Bash.
• Experience with Terraform, Ansible, and modern CI/CD (GitHub Actions, ArgoCD).
• Fluency with observability stacks (Prometheus, Grafana, Datadog, OpenTelemetry).
• Bachelor's degree in Computer Science or equivalent practical experience.
• Bonus: service mesh, multi-region failover, or SOC 2/PCI exposure.

Responsibilities

• Operate and scale Kubernetes-based infrastructure across environments.
• Define, implement, and report on SLOs and error budgets.
• Build observability tooling to detect issues early.
• Lead incident response and postmortems.
• Design and improve CI/CD pipelines with GitOps in AWS/GCP.
• Automate operational toil and IaC patterns.
• Collaborate on reliability reviews and production readiness.

Skills

SRE/DevOps

Kubernetes

Go/Python/Bash

Terraform/Ansible

GitOps CI/CD

Observability tooling

Incident response

Education

Bachelor's degree in Computer Science

Tools

GitHub Actions

ArgoCD

Terraform

Ansible

Prometheus

Grafana

Datadog

OpenTelemetry

Job description

About The Role

The role owns the reliability, performance, and scalability of production systems serving high traffic volumes — Kubernetes clusters, distributed services, and the infrastructure pipelines that deploy them.

You will sit on a platform team that treats operations as a software problem: building automation, eliminating toil, defining SLOs, and ensuring engineers across the organization can ship quickly without sacrificing stability.

Key Responsibilities

• Operate and scale Kubernetes-based infrastructure across multiple environments, including cluster provisioning, autoscaling, and capacity planning
• Define, implement, and report on SLOs and error budgets; drive reliability decisions with engineering teams based on measurable service health
• Build and maintain observability tooling using Prometheus, Grafana, and distributed tracing to detect and diagnose issues before customers feel them
• Lead incident response for production outages — perform blameless postmortems and drive remediation items to completion
• Design and improve CI/CD pipelines (GitHub Actions, ArgoCD, Terraform) supporting GitOps-style infrastructure and application delivery across AWS or GCP
• Automate away recurring operational work: self-healing runbooks, chaos testing, and infrastructure-as-code patterns
• Partner with development teams on reliability reviews, capacity forecasts, and production readiness for new service launches

What We Are Looking For

• 3–7 years of experience in SRE, DevOps, or infrastructure engineering, with hands-on ownership of large-scale production systems
• Deep operational experience with Kubernetes — administration, troubleshooting, and designing cluster architectures in cloud environments (AWS, GCP, or Azure)
• Strong programming or scripting skills in Go, Python, or Bash for building internal tooling and automation
• Production experience with infrastructure-as-code (Terraform, Ansible) and modern CI/CD workflows
• Fluency in observability stacks: Prometheus, Grafana, Datadog, or OpenTelemetry, including alert design and dashboard strategy
• Demonstrated experience leading incident response and writing high-quality postmortems; Bachelor's degree in Computer Science or equivalent practical experience
• Bonus: Experience with service mesh (Istio/Linkerd), chaos engineering, multi-region failover design, or compliance-driven environments (SOC 2, PCI)