DevOps Engineer Resume Example & Template (2026)

Top skills to feature

  • Kubernetes
  • Terraform
  • CI/CD (GitHub Actions / GitLab CI)
  • Docker
  • AWS / GCP / Azure
  • Python / Bash scripting
  • Prometheus & Grafana
  • Ansible
  • Infrastructure as Code (IaC)
  • Linux administration
  • ELK Stack
  • Git

The BLS classifies most DevOps roles under software developers, where the median annual wage hit $133,080 in May 2024 — and senior cloud/infrastructure practitioners routinely clear $160,000–$185,000 at companies running containerized workloads at scale. Demand is not slowing: BLS projects the broader software developer category to grow 16% through 2034, and DevOps specifically has become table-stakes for any team deploying multiple times a day. That combination — high pay, strong demand — means job postings attract heavy applicant volume, and a resume that doesn’t survive the first automated pass never reaches a human.

This page walks you through a complete, ready-to-adapt sample resume, a section-by-section breakdown of why each choice was made, an ATS keyword guide built from real 2026 job postings, and the five mistakes that reliably get strong candidates filtered out.

Full Sample Resume


Alex Rivera Austin, TX · alex.rivera@email.com · linkedin.com/in/alexrivera · github.com/alexrivera


Summary

Platform engineer with 7 years of experience building and operating CI/CD pipelines, Kubernetes clusters, and cloud infrastructure on AWS and GCP. Reduced mean time to deploy (MTTD) from 4 hours to 22 minutes at Meridian Health Tech by migrating from manual VM releases to a fully automated GitOps workflow using ArgoCD and Terraform. Strong background in observability — Prometheus, Grafana, ELK Stack — and a track record of reducing incident response time through better alerting, not bigger on-call rotations. Seeking a senior DevOps or platform engineering role at a product company running distributed systems at scale.


Experience

Senior DevOps Engineer — Meridian Health Tech, Austin, TX February 2022 – Present

  • Redesigned deployment pipeline from Jenkins-based manual approvals to a GitOps model using GitHub Actions, ArgoCD, and Helm charts, cutting mean deploy time from 4 hours to 22 minutes and reducing deployment-related incidents by 71% over 12 months.
  • Built and maintain a production Kubernetes cluster (EKS) across 3 AWS regions serving 14 microservices at peak load of 42,000 requests/minute; maintained 99.95% uptime SLA through two major traffic events without manual intervention.
  • Migrated 100% of infrastructure provisioning from click-ops to Terraform modules managed in GitLab, eliminating configuration drift across 6 environments and reducing environment spin-up time from 3 days to 45 minutes.
  • Implemented a unified observability stack (Prometheus, Grafana, Alertmanager, Loki) that reduced mean time to detect (MTTD) from 18 minutes to under 4 minutes and cut monthly P1 incidents from 9 to 2 over one quarter.

DevOps Engineer — Stackbridge Software, Denver, CO August 2019 – January 2022

  • Containerized 22 legacy monolithic services into Docker images and orchestrated them on Kubernetes (GKE), reducing infrastructure cost by $190,000 annually through right-sized resource requests and horizontal pod autoscaling.
  • Wrote Ansible playbooks for configuration management across 140+ Linux servers, eliminating 12 hours/week of manual patching and standardizing OS hardening across all environments.
  • Implemented a secrets management solution using HashiCorp Vault integrated with Kubernetes service accounts, replacing hardcoded credentials in 37 application repositories and passing a subsequent SOC 2 Type II audit without remediation items related to secrets handling.
  • Collaborated with 4 application teams to define and enforce Dockerfile best practices, reducing average image size by 58% and cutting container startup time from 40 seconds to under 8 seconds.

Systems Administrator — Calverton Financial, Phoenix, AZ June 2017 – July 2019

  • Managed on-premise Linux and Windows infrastructure for a 200-person financial services firm; maintained 99.8% server availability over 2 years.
  • Automated monthly compliance reporting using Python scripts, saving 6 analyst-hours per report cycle.
  • Led migration of internal applications from bare-metal to VMware vSphere, reducing hardware costs by $80,000 and improving disaster recovery RTO from 8 hours to 2 hours.

Skills

Cloud & Infrastructure: AWS (EC2, EKS, RDS, S3, IAM, VPC, CloudWatch), GCP (GKE, Cloud Run, Cloud Storage), Terraform, Ansible, CloudFormation, HashiCorp Vault
Containers & Orchestration: Docker, Kubernetes, Helm, ArgoCD, Istio
CI/CD: GitHub Actions, GitLab CI/CD, Jenkins, ArgoCD, Spinnaker
Observability: Prometheus, Grafana, Alertmanager, ELK Stack (Elasticsearch, Logstash, Kibana), Loki, Datadog
Languages & Scripting: Python, Bash, Go (working knowledge), YAML, HCL
Networking & Security: TCP/IP, VPN, TLS/SSL, IAM policies, RBAC, SOC 2, CIS benchmarks
Operating Systems: Linux (Ubuntu, CentOS, Amazon Linux), Windows Server
Version Control: Git, GitHub, GitLab


Education

Bachelor of Science, Computer Information Systems Arizona State University, Tempe, AZ — May 2017

Certifications:

  • AWS Certified DevOps Engineer – Professional (2024)
  • Certified Kubernetes Administrator (CKA) — CNCF (2023)
  • HashiCorp Certified: Terraform Associate (2023)

Why This Resume Works: Section by Section

Summary

The summary does four things in four sentences: establishes total years of experience, names the exact technical environment (Kubernetes, AWS, GCP, GitOps), leads with a quantified achievement before the reader reaches the first bullet, and closes with a target role signal so a recruiter knows immediately whether to keep reading.

What it avoids: “passionate”, “results-driven”, “team player”, vague claims about “improving DevOps culture.” Every phrase earns its word count. Notice “GitOps workflow using ArgoCD and Terraform” — those are tool names that match ATS keywords verbatim. The summary functions as a second chance for keyword matching if the ATS scores by section weight.

One practical tip: rewrite the final sentence for each application. “Seeking a senior DevOps role at a financial services firm” will always outscore “seeking a challenging opportunity to grow” with a hiring manager at a fintech company.

Experience Bullets

Each bullet follows a structure: action → specific tool or system → quantified outcome. The quantification is the part most DevOps engineers skip, because infrastructure work can feel hard to measure. It is not hard — you just have to track the right numbers:

  • Deployment frequency and lead time are DORA metrics that most engineering orgs already measure. “Deploy time from 4 hours to 22 minutes” is believable and specific.
  • Incident counts and MTTD/MTTR come directly from your on-call incident tracker (PagerDuty, OpsGenie, etc.).
  • Infrastructure cost reduction is available from your cloud billing dashboard. Even an estimate (“approximately $190,000”) is credible when the methodology is sound (right-sizing, autoscaling).
  • Percentage improvements (image size down 58%, startup time down 80%) are easy to calculate before and after a project and carry weight because they signal that you measured the impact.

The experience section also deliberately mixes different skill areas across bullets: pipeline automation, cluster management, IaC, observability. This breadth matters because DevOps job descriptions list requirements in all of these areas, and an ATS that scans for keyword coverage will find matches across multiple competencies.

Skills Section

The skills section is structured by category rather than dumped as a flat comma list. This serves two purposes: it is easier for a human to scan (a recruiter looking for “does this person know AWS?” can find the answer in two seconds), and it groups related tools so that even if the ATS is looking for “EKS” and you wrote “Kubernetes (EKS)”, the proximity signals context.

Include both the platform and the service names. Write “AWS (EC2, EKS, RDS, S3, IAM, VPC, CloudWatch)” rather than just “AWS” — many ATS systems search for specific service keywords because job descriptions list them individually.

Education and Certifications

For mid-career DevOps engineers, certifications often carry more weight than the degree. The AWS DevOps Engineer – Professional, CKA, and Terraform Associate are the three most-requested credentials in 2026 job postings and signal both breadth and depth. List them under Education with their year — a 2024 certification is current; a 2019 certification without renewal history raises questions about whether your knowledge is still current.

If you are early in your career, consider adding a certification before your next job search. The CKA in particular has become close to a prerequisite for roles that mention Kubernetes in the requirements section.


ATS Keyword Guidance for DevOps Engineer Roles

Applicant tracking systems at most companies with formal recruiting processes (Workday, Taleo, Lever, Greenhouse) score your resume against the job description before a human sees it. For DevOps roles in 2026, the following keyword categories appear in the majority of postings:

Must-have (appear in 80%+ of postings):

  • Kubernetes (or K8s in the posting — but write “Kubernetes” in your resume)
  • Docker / containerization
  • Terraform / Infrastructure as Code
  • CI/CD pipelines
  • AWS, GCP, or Azure (whichever the job specifies — name the platform exactly)
  • Linux / Linux administration
  • Python or Bash scripting

High-frequency (60–80% of postings):

  • GitHub Actions, GitLab CI, or Jenkins (match the JD’s specific tool)
  • Ansible / configuration management
  • Prometheus, Grafana, or similar observability tools
  • Helm
  • Git / version control
  • Microservices / distributed systems

Emerging / differentiation keywords (20–40%, but rising):

  • ArgoCD / GitOps
  • Istio / service mesh
  • HashiCorp Vault / secrets management
  • Datadog / OpenTelemetry
  • Go / Golang (for platform engineering roles)
  • FinOps / cloud cost optimization

How to apply this in practice: Copy the requirements section of a target job description into a plain text file, then read your resume against it. Every technology that appears in the JD and that you have hands-on experience with should appear somewhere in your resume using the exact same capitalization and spacing. “GitHub Actions” and “github actions” may not match the same way across all systems. “CI/CD” and “CICD” are treated as different strings by some parsers.

Do not pad your skills section with tools you have not actually used. ATS systems surface your resume; technical phone screens expose you. A hiring manager who asks you to walk through your Terraform module structure will know within 90 seconds whether you wrote production IaC or just listed it as a buzzword.


5 Common DevOps Resume Mistakes

1. Listing responsibilities instead of outcomes

“Managed Kubernetes cluster” tells a hiring manager nothing differentiating. Every DevOps candidate managed something. “Maintained 99.95% uptime across a 3-region EKS cluster serving 14 microservices at 42,000 req/min” tells them scale, technology, and result. Go back through your experience section and replace every sentence that starts with “responsible for” or “managed” with an action verb followed by a measurable outcome.

2. Using abbreviations the ATS won’t recognize

This is the single most common reason technically strong DevOps resumes fail the automated screen. “K8s”, “TF”, “GHA”, “IaC” (especially inconsistent casing), “GHCR” — these abbreviations are fluent on Slack and in pull requests, but an ATS doing string matching on “Kubernetes” will not find “K8s.” Write the full name first, and if you want to add the abbreviation in parentheses, do that: “Kubernetes (K8s).” Never use only the abbreviation.

3. No observability or incident response signal

Almost every DevOps posting in 2026 lists monitoring, alerting, or on-call experience. Engineers who built systems but have no resume language around Prometheus, Grafana, Datadog, PagerDuty, or incident response look like they only do setup — not operations. Even if your role was primarily build-side, include one bullet that addresses observability: the alerting rules you wrote, the dashboard you built, the runbook you authored, the MTTD metric you improved.

4. Omitting cloud provider specifics

“Experience with cloud platforms” is not a keyword — “AWS EC2, EKS, IAM, and VPC” is. Hiring managers for roles that require AWS certification specifically want to see evidence that you have worked with the services in depth, not just logged into the console. List the specific services you used in each role, even if it means a longer skills section. The same applies for Azure (AKS, Azure DevOps, ARM templates) and GCP (GKE, Cloud Build, Cloud Run).

5. Burying or omitting certifications

The CKA, AWS DevOps Engineer – Professional, and Terraform Associate are credential signals that a recruiter will specifically look for when filtering applicants. If they’re at the bottom of the last page, after three pages of experience, they may as well not be there. Put certifications under education, near the top of that section, with the credential name exactly as it appears on the certificate — “Certified Kubernetes Administrator (CKA)” not “Kubernetes cert.” If you are early-career and certifications are your strongest signal, consider moving them above or alongside education as a standalone section.