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DevOps and SRE CVs are graded on reliability and cost moved, not tools listed. Recruiters scan for uptime, deploy frequency, MTTR, and infra spend. 'Managed AWS infrastructure' tells them nothing; name the SLO you held.
Cloud: AWS / GCP / Azure, be specific (EKS, ECS, GKE, Lambda)
IaC: Terraform, Pulumi, CloudFormation, Ansible
Containers + orchestration: Docker, Kubernetes, Helm, ArgoCD
CI/CD: GitHub Actions, GitLab CI, Jenkins, CircleCI
Observability: Prometheus, Grafana, Datadog, OpenTelemetry, ELK
Reliability: SLOs/SLIs, error budgets, incident response, on-call
Security + cost: IAM, secrets management, FinOps, autoscaling
Only include skills you can defend in an interview. Inflated skill lists fail the first phone screen.
A reliability number: uptime / SLO, MTTR, or incidents reduced
A delivery number: deploy frequency, lead time, or pipeline duration
A cost number: infra spend reduced (with %, and the lever you pulled)
Scale context: services, clusters, requests/sec, environments
Weak
Managed Kubernetes clusters and CI/CD pipelines on AWS.
Strong
Ran 3 EKS clusters (120 services) at 99.95% availability; rebuilt CI/CD on GitHub Actions + ArgoCD, raising deploy frequency from weekly to ~25/day.
Weak
Reduced cloud costs by optimising infrastructure.
Strong
Cut AWS spend 34% (~$18k/mo) via Karpenter spot autoscaling, rightsizing, and killing idle non-prod after hours, with zero SLO regressions.
Weak
Improved monitoring and incident response.
Strong
Introduced SLOs + error budgets and Prometheus/Grafana alerting; reduced P1 MTTR from 95 to 22 minutes and cut pages 40% by deleting noisy alerts.
A public Terraform module or Helm chart with real downloads
A homelab k8s cluster written up (GitOps, observability stack)
A blog post on an incident postmortem you ran (sanitised)
A contribution to a CNCF project, however small
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