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DevOps Engineer CV Template & Example
A DevOps engineer CV must prove you ship faster and keep systems reliable through automation. Teams look for CI/CD pipelines, infrastructure-as-code, cloud platforms, and metrics like deploy frequency and mean time to recovery.
How to write a standout DevOps Engineer CV
Three things hiring managers and applicant tracking systems look for — get these right and you clear the first screen.
Lead with DORA-style metrics
Deployment frequency, lead time, change-failure rate, and MTTR are the language of DevOps. Quantify how your automation moved them.
Name your IaC and orchestration tools
Terraform, Kubernetes, Docker, and your CI/CD platform are heavily filtered. List the exact stack you operate in production.
Show cost and reliability wins
Cloud spend reduced, uptime improved, and incidents prevented prove business value beyond pipelines. Attach a number to each.
ATS keywords for DevOps Engineer CVs
Applicant tracking systems scan for role-specific terms before a human reads your CV. Weave the ones that genuinely apply to you into your summary, skills, and bullets.
DevOps Engineer CV bullet point examples
Achievement-led bullets that show impact with numbers — the format that gets interviews. Adapt them to your own results.
- Built Terraform modules and GitHub Actions pipelines that cut deployment time from 2 hours to 18 minutes.
- Reduced MTTR from 4 hours to 25 minutes by adding Prometheus alerting and automated rollback.
- Migrated 40 services to Kubernetes and right-sized resources, lowering monthly cloud spend by £22K.
Frequently asked questions
Common questions about writing a DevOps Engineer CV.
What should a DevOps engineer put on a CV?
Your CI/CD and IaC tooling, cloud platforms, orchestration stack, and metrics like deployment frequency, MTTR, uptime, and cost savings.
Which DevOps tools should I list on a CV?
List the ones you actually run in production, typically Terraform, Kubernetes, Docker, a CI/CD platform, a cloud provider, and a monitoring stack.
How do I quantify DevOps impact?
Use deployment time, deploy frequency, change-failure rate, MTTR, uptime, and cloud cost reductions, which directly map to DevOps performance.
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