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Job Closed

DevOps Engineer

  • Source: LinkedIn
  • Evlo AI
  • Remote
  • Miami
  • Full-Time
  • Mid level

Job Description

About The Role The role owns the infrastructure that keeps production systems online - CI/CD pipelines, Kubernetes clusters, cloud networking, and the observability stack that detects problems before customers do.

The engineer will work closely with backend and platform teams to automate everything: deployments, scaling, incident response, and infrastructure provisioning across a multi-service, high-traffic environment.

Key Responsibilities

  • Build and maintain CI/CD pipelines (GitHub Actions, GitLab CI, or CircleCI) enabling safe, frequent deployments across dozens of microservices
  • Operate and scale Kubernetes clusters on AWS or GCP, including cluster upgrades, autoscaling policies, and workload optimization
  • Define infrastructure as code using Terraform and Terragrunt, with peer-reviewed modules and automated plan/apply workflows
  • Design and maintain observability tooling - Prometheus, Grafana, and distributed tracing - with actionable SLOs and alerting that minimizes noise
  • Lead incident response and blameless postmortems; drive reduction of MTTR through runbooks, automation, and chaos testing
  • Harden production environments: IAM policies, network segmentation, secrets management, and security patching pipelines
  • Partner with development teams to improve service reliability, defining error budgets and capacity plans as the platform scales

What We Are Looking For

  • 3+ years of experience in DevOps, SRE, or infrastructure engineering, with production ownership of systems serving significant traffic
  • Deep hands-on experience with Kubernetes: deployment, networking, Helm, and troubleshooting in production environments
  • Strong Terraform/IaC skills and proficiency with at least one major cloud provider (AWS, GCP, or Azure)
  • Solid scripting and automation skills in Python, Bash, or Go
  • Experience building observability from the ground up: metrics, logs, traces, and alert design (Prometheus, Datadog, or similar)
  • Bachelor’s degree in Computer Science or equivalent practical experience
  • Bonus: Experience with service mesh (Istio/Linkerd), GitOps tooling (ArgoCD/Flux), multi-region failover design, or compliance environments (SOC 2, PCI)

Skills

  • Kubernetes
  • Github
  • github-actions
  • gitlab
  • gitlab-ci
  • circleci
  • amazon-web-services
  • google-cloud-platform
  • aws-auto-scaling
  • Terraform
  • Prometheus
  • Grafana
  • helm
  • microsoft-azure
  • Python
  • Golang
  • datadog
  • istio
  • linkerd
  • argo-cd
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