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Sarah Mitchell
Sarah Mitchell

Posted on • Originally published at writecv.ai

DevOps Engineer Resume Example (Docker, Kubernetes, Terraform) 2026

DevOps hiring managers scan resumes for two things: the tools you use and the outcomes you delivered. A resume that lists Docker and Kubernetes without mentioning uptime, deploy frequency, or cost savings looks like a lab environment, not a production track record.

This guide gives you a complete DevOps resume example, 20 bullets you can adapt, the keywords ATS systems scan for, and a project section format that works for infrastructure work.


What Makes a DevOps Resume Different

DevOps work is invisible when it works. Your resume has to make that invisible work visible.

Three things hiring managers care about:

  • Reliability metrics - uptime percentages, incident reduction, MTTR improvements
  • Velocity metrics - deploy frequency, pipeline speed, environment provisioning time
  • Cost metrics - infrastructure spend reduction, resource optimization, right-sizing wins

If your bullets don't reference at least one of these categories, they're describing tasks instead of outcomes.


Full DevOps Engineer Resume Example

Taylor Nguyen
San Francisco, CA · taylor.nguyen@email.com · github.com/taylornguyen

Skills
Containers & Orchestration: Docker, Kubernetes (EKS, GKE), Helm, Kustomize
IaC & Config Management:    Terraform, Ansible, CloudFormation, Pulumi
CI/CD:                      GitHub Actions, Jenkins, ArgoCD, Spinnaker
Cloud Platforms:            AWS (EC2, ECS, Lambda, S3, RDS, IAM), GCP
Monitoring & Observability: Datadog, Prometheus, Grafana, PagerDuty, ELK Stack
Scripting & Automation:     Python, Bash, Go, Make
Networking & Security:      VPC, WAF, Vault, cert-manager, mTLS, IAM policies

Experience

Senior DevOps Engineer · CloudScale Inc. | 2023 - Present
- Migrated 40+ microservices from EC2 to Kubernetes (EKS), reducing infra costs
  by $18K/month and improving deploy frequency from weekly to 12x/day
- Built GitOps pipeline with ArgoCD and Helm, cutting deploy time from 45 minutes
  to under 4 minutes with zero-downtime rollouts
- Designed multi-region failover architecture maintaining 99.99% uptime across
  30+ production services during 3 regional outages
- Reduced MTTR from 4 hours to 18 minutes by implementing automated runbooks
  and PagerDuty escalation workflows
- Provisioned all infrastructure via Terraform modules with remote state locking,
  enabling 12 engineers to ship infrastructure changes through PR review

DevOps Engineer · Rapid Commerce | 2021 - 2023
- Containerized 15 legacy applications with Docker and migrated to ECS,
  reducing environment drift incidents from 8/month to zero
- Built CI/CD pipeline with GitHub Actions running 400+ tests in parallel,
  reducing PR build time from 22 minutes to 5 minutes
- Implemented Prometheus + Grafana monitoring with 50+ custom dashboards,
  cutting undetected production issues by 65%
- Automated SSL certificate rotation with cert-manager and Vault, eliminating
  120 manual certificate renewals per quarter
- Right-sized EC2 instances using CloudWatch metrics and Spot Instances,
  saving $34K/year on compute costs

Junior DevOps Engineer · DataPipe Labs | 2019 - 2021
- Wrote Ansible playbooks to automate server provisioning, reducing new
  environment setup from 3 days to 2 hours
- Configured Jenkins pipelines for 6 teams, standardizing build/test/deploy
  workflows across 40+ repositories
- Created Terraform modules for VPC, security groups, and RDS provisioning,
  replacing 20+ hours of manual console work per month

Infrastructure Projects

Kubernetes Platform Migration
Designed and executed company-wide migration from EC2/Docker Compose to EKS.
Built Helm chart library, namespace isolation, RBAC policies, and HPA configs.
Result: 3x faster deploys, $18K/month savings.

Disaster Recovery Automation
Built cross-region DR system with Terraform, automated database replication,
and runbook-driven failover. Achieved RTO of 12 minutes and RPO of 30 seconds.
Validated via quarterly chaos engineering exercises.

Education
B.S. Computer Science · University of Washington, 2019
AWS Solutions Architect - Associate · Amazon Web Services
CKA: Certified Kubernetes Administrator · CNCF
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DevOps Skills Section Template

Group skills by function so hiring managers and ATS parsers can quickly find what they need.

Containers & Orchestration: Docker, Kubernetes (EKS/GKE/AKS), Helm, Kustomize
IaC & Config Management:    Terraform, Ansible, CloudFormation, Pulumi
CI/CD:                      GitHub Actions, Jenkins, ArgoCD, CircleCI
Cloud Platforms:            AWS (EC2, ECS, Lambda, S3, RDS, IAM), GCP
Monitoring & Observability: Datadog, Prometheus, Grafana, PagerDuty, ELK Stack
Scripting & Automation:     Python, Bash, Go
Networking & Security:      VPC, WAF, Vault, cert-manager, mTLS, RBAC
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List specific cloud services (EC2, Lambda, S3, RDS) rather than just "AWS." ATS systems and recruiters search for service-level keywords.


20 DevOps Bullet Examples

Uptime & Reliability (5)

  • Designed multi-AZ deployment architecture with automated health checks, maintaining 99.99% uptime across 30+ production services
  • Implemented automated failover with Route 53 health checks and cross-region RDS replicas, reducing disaster recovery time from 6 hours to 12 minutes
  • Built self-healing Kubernetes clusters with pod disruption budgets and HPA, reducing P1 incidents from 8/month to 1/quarter
  • Created PagerDuty escalation workflows with automated runbooks that resolved 70% of alerts without human intervention
  • Ran quarterly chaos engineering tests (Chaos Monkey, Litmus) that identified 5 failure modes before they reached production

Deploy Speed & CI/CD (5)

  • Built GitOps pipeline with ArgoCD that reduced deploy time from 45 minutes to 4 minutes with automatic rollback on failed health checks
  • Parallelized CI pipeline stages across 20 runners, cutting PR build time from 22 minutes to 5 minutes
  • Implemented canary deployments with Istio service mesh, catching 3 regressions before full rollout in the first quarter
  • Migrated 30 repositories from Jenkins to GitHub Actions, reducing pipeline maintenance time by 15 hours/month
  • Built ephemeral preview environments for every PR using Terraform workspaces, reducing QA cycle time by 40%

Cost Optimization (5)

  • Right-sized 60+ EC2 instances using CloudWatch CPU/memory analysis, saving $34K/year without performance degradation
  • Migrated batch workloads to Spot Instances with graceful interruption handling, cutting compute costs by 55%
  • Implemented S3 Intelligent-Tiering and lifecycle policies for 40TB of data, reducing storage costs by $8K/month
  • Consolidated 6 single-tenant ECS clusters into a shared EKS platform, saving $12K/month on control plane and node overhead
  • Built automated nightly environment teardown for staging/dev clusters, eliminating $5K/month in idle compute costs

Infrastructure as Code & Automation (5)

  • Wrote 30+ Terraform modules with remote state locking and automated plan/apply via PR review, enabling 12 engineers to self-serve infrastructure changes
  • Automated database backup verification with nightly restore tests, ensuring 99.9% backup reliability across 8 production databases
  • Built Ansible playbooks that provisioned new environments in 2 hours instead of 3 days, supporting 4 team expansions in one year
  • Created Helm chart library with 15 reusable templates, standardizing deployments across 8 teams
  • Implemented secrets rotation pipeline with Vault and Kubernetes external-secrets, rotating 500+ credentials on a 30-day schedule with zero downtime

DevOps Keywords for ATS

Tier Keywords Frequency
Tier 1 Docker, Kubernetes, AWS, Terraform, CI/CD, Linux, Python, Git, Jenkins, monitoring 70%+ of JDs
Tier 2 Ansible, Helm, GitHub Actions, GCP, Azure, Prometheus, Grafana, Bash, IaC, microservices 40-70% of JDs
Tier 3 ArgoCD, Datadog, ELK, PagerDuty, Vault, Istio, Spinnaker, Pulumi, Go, SRE 20-40% of JDs
Tier 4 chaos engineering, FinOps, GitOps, service mesh, mTLS, zero-trust, RBAC, OPA, Crossplane Role-specific

Cover Tier 1 and Tier 2 keywords that match your actual experience. Use Tier 3 and 4 in bullet points where you can demonstrate specific outcomes.


ATS-Safe Project Section for Infrastructure Work

Infrastructure projects don't always fit neatly under a single job title. A dedicated "Infrastructure Projects" section gives them the visibility they deserve.

Do this:

Kubernetes Platform Migration
Designed and executed migration of 40+ services from EC2 to EKS. Built Helm chart
library, namespace isolation, RBAC policies, and HPA configs.
Result: 3x faster deploys, $18K/month savings.
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Not this:

K8s Migration
Moved services to Kubernetes. Set up Helm and RBAC.
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The first version names the scope (40+ services), the tools, and the outcome. The second could describe a weekend experiment.

Three more project examples:

Observability Platform Buildout
Deployed Prometheus + Grafana + Alertmanager stack monitoring 300+ services. Built 40+ dashboards, defined SLO-based alerting, integrated PagerDuty. Reduced mean time to detection from 12 minutes to 90 seconds.

CI/CD Pipeline Modernization
Migrated 30 repositories from Jenkins to GitHub Actions with matrix builds, caching, and ArgoCD sync. Cut average build time from 18 minutes to 4 minutes. Eliminated dedicated Jenkins infrastructure ($8K/month).

Secrets Management Overhaul
Replaced hardcoded credentials with HashiCorp Vault and Kubernetes external-secrets. Automated rotation of 500+ secrets on 30-day schedule. Passed SOC 2 audit with zero findings on credential management.


Common DevOps Resume Mistakes

  1. Tool lists without outcomes - "Managed Docker and Kubernetes" tells nothing. Add how many services, what improved, what you saved.
  2. Abbreviations without full terms - write "Amazon Elastic Kubernetes Service (EKS)" at least once. ATS may search for either form.
  3. Missing certifications - AWS SA, CKA, and CKS carry real weight. Put them in a visible section, not buried in a paragraph.
  4. No reliability metrics - uptime, MTTR, and incident reduction are the DevOps equivalent of revenue numbers.
  5. Confusing infra projects with job duties - "Responsible for CI/CD" is a duty. "Built GitOps pipeline with ArgoCD that reduced deploy time by 80%" is an achievement.

Certifications That Matter

  • AWS Solutions Architect - Associate/Professional - most requested cloud cert in DevOps JDs
  • CKA (Certified Kubernetes Administrator) - validates real cluster management skills
  • CKS (Certified Kubernetes Security Specialist) - differentiator for security-focused roles
  • HashiCorp Terraform Associate - validates IaC fundamentals
  • AWS DevOps Engineer - Professional - strong signal for AWS-heavy environments

Before submitting, run your DevOps resume through WriteCV's ATS checker to verify keyword coverage against the specific job description. Paste the JD and see exactly which Tier 1 and Tier 2 keywords you're missing.

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