Engineering

Mid LevelCloud Engineer Resume Example

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Cloud Engineer Resume Template (mid level)

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Professional Summary

Cloud engineer with 5 years of experience designing and operating scalable cloud platforms. Expert in Infrastructure as Code (IaC) and container orchestration.

Professional Experience

Cloud EngineerApr 2022 - Present
Lonestar Cloud Services, Austin, TX
  • Refactored legacy infrastructure into Terraform modules, reducing environment drift.
  • Managed EKS clusters supporting 50+ microservices with 99.99% availability.
  • Implemented GitHub Actions pipelines to automate testing and deployment.
Systems AdministratorJul 2019 - Mar 2022
Capital Core Systems, Austin, TX
  • Migrated critical workloads from on-prem VMWare to AWS.
  • Partnered with security teams to enforce least-privilege IAM policies.
  • Scripted daily maintenance tasks using Bash and Python.

Skills

Terraform, AWS/Azure, Kubernetes (EKS/AKS), CI/CD (Jenkins/GitHub Actions), Python/Go, Observability (Datadog/Prometheus)

Education

B.S. Information TechnologyMay 2019
University of Texas at Austin

Certifications

  • AWS Certified Solutions Architect - Associate

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Key Skills for Cloud Engineer

TerraformAWS/AzureKubernetes (EKS/AKS)CI/CD (Jenkins/GitHub Actions)Python/GoObservability (Datadog/Prometheus)

ATS Keywords for Cloud Engineer

Use these naturally in your summary, skills, and experience when they reflect your background.

Cloud EngineerTerraformAWS / AzureKubernetesCI/CDPython / GoObservabilitysoftware developmenttroubleshootingtechnical documentationautomationAgile

How to Write a Mid Level Cloud Engineer Resume

A mid-level cloud engineer resume must prove independent ownership of infrastructure, not just familiarity with tools. Show that you design, provision, and troubleshoot with Terraform and Kubernetes across AWS or Azure without hand-holding, and that your CI/CD pipelines and observability dashboards keep production systems reliable and cost-aware.

Resume Writing Tips

Quantify Infrastructure You Own End to End

State the scale: 'Managed Terraform modules provisioning 40+ AWS resources across three environments' or 'Migrated a monolith to EKS, cutting deployment time from 45 to 8 minutes.' Ownership numbers separate mid-level engineers from juniors following runbooks.

Highlight CI/CD Pipeline Ownership

Detail a pipeline you built or overhauled in Jenkins or GitHub Actions — deployment frequency, rollback time, or test coverage gained. Independent delivery through automation is the clearest mid-level signal recruiters scan for.

Prove Observability Maturity

Cite a Datadog or Prometheus dashboard you built and an incident it caught early. 'Reduced mean time to detection from 2 hours to 12 minutes' demonstrates you operate systems proactively, not just reactively.

Skills to Highlight

Terraform

Describe module structure and state management choices you made, such as splitting environments with workspaces or remote state in S3, plus a migration or refactor you led.

Kubernetes (EKS/AKS)

Show cluster-level decisions: autoscaling policy tuning, namespace isolation, or a rollout strategy that reduced downtime during deploys, not just 'used Kubernetes.'

CI/CD (Jenkins/GitHub Actions)

Quantify pipeline improvements — build time reduced, deployment frequency increased, or failed-deploy rate cut — to show you own delivery speed, not just scripts.

Observability (Datadog/Prometheus)

Name a specific alert or dashboard you configured and the incident it prevented or shortened, proving you use monitoring to drive action, not just visibility.

Common Questions

How do I differentiate a mid-level Cloud Engineer resume from an entry-level one?

Replace certification-first framing with ownership metrics: infrastructure scale managed, pipeline improvements shipped, incidents resolved independently. Recruiters at this level expect you to have driven a Terraform or Kubernetes project from design through production without close supervision.

Should I list both AWS and Azure if I've only worked deeply in one?

List both only if you've genuinely operated services in each; otherwise lead with your primary cloud and note transferable IaC skills. Terraform experience across providers is a stronger signal than surface familiarity with a second cloud's console.

How much detail should I give about CI/CD pipelines?

Enough to show judgment: tool choice, deployment frequency, and one metric you improved. A line like 'Rebuilt CI/CD in GitHub Actions, cutting release cycle from weekly to daily' proves independent delivery better than naming the tool alone.

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