DevOps Engineer: Kubernetes, CI/CD & Observability

Evlo AI; Phoenix (AZ); On-site; USD 120,000 - 180,000; Full time

Job summary

Evlo AI is seeking a hands-on DevOps/SRE engineer to own production infrastructure, including Kubernetes clusters, CI/CD pipelines, and observability. You will automate deployments, enforce reliability targets, and treat infrastructure as code, operating at scale with a focus on uptime.

You will collaborate with backend/platform engineers to containerize services, harden security, and drive efficient cloud provisioning across AWS.

Qualifications

• 3–6 years of experience in DevOps, SRE, or infrastructure engineering roles supporting production systems.
• Hands-on Kubernetes in production with cluster operations, Helm, networking, and autoscaling.
• Infrastructure‑as‑code with Terraform (or Pulumi) and multi-environment AWS management.
• Proficiency in scripting languages (Python, Go, or Bash) for tooling and automation.

Responsibilities

• Build and maintain Kubernetes-based infrastructure (EKS/GKE) across environments using Terraform and Helm.
• Design and operate CI/CD pipelines in GitHub Actions or GitLab CI, enforcing automated quality gates.
• Implement observability with Prometheus, Grafana, and OpenTelemetry; define actionable SLOs and alerts.
• Automate cloud provisioning and cost optimization across AWS — VPCs, IAM, autoscaling, and spot strategies.
• Lead incident response and blameless postmortems; reduce MTTR with runbook automation and chaos engineering.

Skills

Kubernetes

CI/CD

GitOps

Terraform

Prometheus

Grafana

OpenTelemetry

AWS

Scripting

Autoscaling

Networking

Incident Response

Vault

Education

Bachelor's degree in Computer Science / Engineering

Tools

EKS

GKE

GitHub Actions

GitLab CI

ArgoCD

Flux

Vault

Job description

Evlo AI is seeking a hands-on DevOps/SRE engineer to own production infrastructure, including Kubernetes clusters, CI/CD pipelines, and observability. You will automate deployments, enforce reliability targets, and treat infrastructure as code, operating at scale with a focus on uptime.

You will collaborate with backend/platform engineers to containerize services, harden security, and drive efficient cloud provisioning across AWS.