DevOps Engineer

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

About The Role

The role owns the infrastructure that keeps production systems running: CI/CD pipelines, Kubernetes clusters, cloud networking, and the observability stack that tells the team when something breaks before customers notice.

About The Role

The role owns the infrastructure that keeps production systems running: CI/CD pipelines, Kubernetes clusters, cloud networking, and the observability stack that tells the team when something breaks before customers notice.

The DevOps engineer will work directly with backend and platform engineers to automate deployments, harden reliability targets, and treat infrastructure as code – not tickets. The work is hands‑on, at scale, and measured in uptime.

Key Responsibilities

• Build and maintain Kubernetes-based infrastructure (EKS/GKE) across multiple environments using Terraform and Helm


• Design and operate CI/CD pipelines in GitHub Actions or GitLab CI, reducing deployment lead time and enforcing automated quality gates


• Implement observability with Prometheus, Grafana, and distributed tracing (OpenTelemetry); define actionable SLOs and alerting thresholds


• Automate cloud resource provisioning and cost optimization across AWS — VPCs, IAM policies, autoscaling groups, and spot/fleet strategies


• Lead incident response and blameless postmortems; drive down MTTR through runbook automation and chaos engineering practices


• Harden production systems: secrets management (Vault), network security groups, and compliance‑driven access controls


• Partner with development teams to containerize services and debug production issues across the full stack

What We Are Looking For

• 3–6 years of experience in DevOps, SRE, or infrastructure engineering roles supporting production systems


• Deep hands‑on expertise with Kubernetes in production — cluster operations, Helm, networking (CNI, ingress), and autoscaling


• Strong infrastructure‑as‑code skills with Terraform (or Pulumi); experience managing multi‑environment cloud estates on AWS


• Proficiency in at least one scripting language: Python, Go, or Bash, for tooling and automation


• Proven experience operating CI/CD pipelines and GitOps workflows (ArgoCD, Flux)


• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience


• Bonus: Experience with service mesh (Istio/Linkerd), chaos engineering tools, SOC 2 compliance automation, or multi‑region/high‑availability architectures