DevOps Engineer resume example
DevOps work is judged by how fast and safely a company ships. Show deployment frequency, uptime, incident recovery, cost savings and the automation you built to get there.
This is a fictional, illustrative example -- not a real person or a promised result. Replace every detail with your own.
Full example resume
Sample content, for illustration -- not a real person.
DevOps engineer with 6 years of experience running AWS infrastructure with Kubernetes and Terraform. Took deploys from weekly to 30+ a day while keeping 99.95% uptime.
- •Migrated 40 services to Kubernetes (EKS) with Terraform, taking deploys from weekly to 30+ a day.
- •Kept 99.95% uptime across production for 3 years, with on-call alerts cut by half through better thresholds.
- •Reduced mean time to recovery from 55 to 12 minutes with runbooks and automated rollbacks.
- •Cut AWS spend 32% ($480K/year) with spot instances, autoscaling and storage lifecycle rules.
- •Automated server provisioning with Ansible, cutting setup from 2 days to 30 minutes.
- •Built Jenkins pipelines for 25 applications.
- •Set up Prometheus and Grafana monitoring for 300 servers.
Summary: weak vs. improved
DevOps enthusiast experienced with cloud, containers and automation.
DevOps engineer running AWS with Kubernetes and Terraform. Took deploys from weekly to 30+ a day while keeping 99.95% uptime.
Deployment frequency and uptime are the core DevOps outcomes. Naming them beats a list of buzzwords.
Skills to include
- ✓AWS, Azure or GCP
- ✓Kubernetes and Docker
- ✓Infrastructure as code (Terraform)
- ✓CI/CD (GitHub Actions, GitLab CI, Jenkins)
- ✓Monitoring and alerting (Prometheus, Datadog)
- ✓Scripting (Bash, Python)
Only list skills you actually have -- the AI review in the editor will flag a skill that doesn't appear anywhere else in your resume.
Bullet examples: weak vs. improved
Worked on the Kubernetes migration.
Migrated 40 services to Kubernetes (EKS) with Terraform, taking deploys from weekly to 30+ a day.
Scope and delivery speed show the migration’s real impact.
Responsible for system reliability.
Reduced mean time to recovery from 55 to 12 minutes with runbooks and automated rollbacks.
MTTR is a standard reliability metric; improving it shows you make outages shorter.
Helped optimise cloud costs.
Cut AWS spend 32% ($480K/year) with spot instances, autoscaling and storage lifecycle rules.
Methods plus a dollar figure show cost work finance leaders notice.
How this changes by experience level
Show automation you built and certifications you earned, with before/after time savings.
Automated server provisioning with Ansible, cutting setup from 2 days to 30 minutes.
Show delivery speed, reliability and cost results, like the full example above.
See the full example above.
Show internal platforms, standards and developer productivity at org scale.
Built an internal developer platform used by 120 engineers, cutting new-service setup from 2 weeks to 1 day.
Section order
- Contact and links
- Short summary
- Skills by area (cloud, CI/CD, IaC, observability)
- Experience
- Certifications (AWS, CKA)
- Education
Common mistakes to avoid
- !A tool list with no evidence of scale
- !No reliability or speed metrics
- !Missing cloud certifications that recruiters filter on
Recommended template: Technical
Skills matrix and project highlights for engineers.