Resume Examples
July 02, 2026
20 DevOps Engineer Resume Examples, Backed by Real Interview Data (2026)
by Sam WrightDevOps resume examples backed by 2,289 real postings, a verified infrastructure engineer resume that reached interviews, plus models for SRE, platform, cloud, and CI/CD.
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A DevOps resume answers one question: can you make software ship fast and stay up? The strongest ones prove it with pipelines they built, reliability numbers they held, and toil they automated away. This page shows what real DevOps postings ask for, a verified infrastructure resume that reached interviews, and labeled models for the specialties DevOps splits into.
Huntr's system tracks 76 devops engineer resumes, a thin set, so the verified example here is a closely related systems and infrastructure engineering resume that reached real interviews rather than a devops interview cohort. Everything on the page was reviewed by Sam Wright, Huntr's Head of Career Strategy, and draws on our research. Names, employers, and schools are swapped so no example points to a real person, and the specialty models are labeled and built from real devops postings.
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What DevOps Postings Ask For, and What the Interview Resume Showed
We read 2,289 DevOps engineer postings on Huntr. Every percentage in this section is the share of those postings that named the skill.
- The one DevOps resume in our interview set had spent years as a C#/.NET developer before moving into pipelines and reliability work. That arc fits the job: learn to ship software, then learn to keep it running.
- DevOps hiring runs on two skills above all: 68% of postings asked for Terraform and 68% asked for CI/CD. A resume that names neither reads junior for the role.
- Containers and orchestration are table stakes. Kubernetes appeared in 65% of postings and Docker in 48%. Name the clusters you ran and how big they got.
- Cloud is assumed. AWS led at 52%, with Azure at 17% and GCP at 12%. Pick the one you know and back it with a real cost or uptime number.
- DevOps still means writing code. Python was in 55% of postings and Bash in 33%. Show the scripts and tools you built, not just the consoles you clicked.
- Infrastructure as Code is how these teams talk: Terraform plus Ansible (27%) and CloudFormation (13%). Frame your work as code you can rerun, not tickets you closed.
- Observability quietly decides things. Prometheus (13%), Grafana (12%), plain monitoring (12%), and Datadog (6%) mean a strong resume shows how fast you found and fixed problems.
- A GitHub link fits this role. The best DevOps resumes point to a real Terraform module, a Helm chart (6%), or a pipeline template so a reviewer can read the work, not just the claim.
A Verified Infrastructure Engineer Resume That Reached Interviews
The DevOps-titled interview set on Huntr was thin, so we anchor this section on a closely related resume: a systems and infrastructure engineer who owns the same stack DevOps grew out of. Names, employers, and schools are swapped for comparable real ones; the interview companies named are real.
Systems and Infrastructure Engineer Resume Example
Reached the interview stage (related systems engineering role)
This is a systems and infrastructure engineering resume, a close cousin of DevOps that owns the same servers, virtualization, and automation. The resumes behind it reached interviews at Visa, Nintendo, Universal Music Group, Fortinet, and ZEISS Group.
Aisha Rahman
Systems and Infrastructure Engineer - [email protected] - 111-111-1111 - Des Moines, IA - linkedin.com/in/aisha-rahman-example1 - github.com/aisha-rahman-example12
About
Systems Engineer with 27 years administering multi-platform IT infrastructure across Windows, macOS, Linux, and cloud environments. Introduced VMware for server virtualization, leading to a 30% reduction in physical server costs. Experienced in Microsoft 365, Active Directory, MDM tooling, virtualization, and hybrid cloud, aligning technical solutions with organizational goals.
Experience
Systems Engineer / Technology Coordinator
Cabela's | Des Moines, IA
01/2014 - Present
- Administered an IT budget of $100,000, ensuring cost savings while overseeing the procurement, deployment, training, and repair of over 700 devices across multiple sites.
- Introduced VMware for server virtualization, leading to a 30% reduction in physical server costs and a 25% increase in operational efficiency.
- Spearheaded the implementation of Microsoft 365 across the organization, resulting in a 30% increase in team productivity and streamlined communication processes.
- Authored detailed technical documentation for various software applications, which reduced support inquiries by 40%.
- Created a comprehensive library of reusable Bash scripts for routine maintenance tasks, and managed FileWave and Jamf MDM across iOS, macOS, tvOS, and Windows platforms.
- Coordinated with multiple contractors and vendors to implement a new site-wide technology infrastructure, resulting in a 20% reduction in operational costs.
Assistant Manager, Information Systems
Vermeer | Pella, IA
01/2008 - 01/2014
- Supported an organization of 4,000 users and 650 staff, supervising oversight of all computers and directing a staff of technicians.
- Managed 6,000+ devices using FileWave, Apple DEP, and Google Workspace, and ran Windows Server, macOS Server, and CentOS Linux environments.
- Led a comprehensive overhaul of user/group administration protocols, producing a 30% increase in system efficiency and a 25% reduction in access-related issues.
- Researched, presented, and implemented IT systems including Veeam, VMware vCenter, Extreme networking, Active Directory, Cisco Call Manager, and WebHelpDesk.
- Led a project to upgrade the Microsoft Office suite, ensuring compatibility across versions, which enhanced team collaboration and reduced software-related issues by 40%.
Programmer / Analyst
Gannett | Des Moines, IA
01/2002 - 01/2008
- Maintained computer systems directly involved with outputting the daily newspaper, including systems running on macOS Server, Windows Server, Linux, and Solaris.
- Developed a robust automation script using Perl that reduced data processing time by 40%, significantly improving operational efficiency.
- Implemented a version control strategy using SVN, leading to a 30% reduction in code conflicts and improving collaboration among a team of 3 developers.
- Designed and initiated programs to aid departments with analysis and automation of production workflow.
Macintosh Support Specialist
Gannett | Des Moines, IA
01/1999 - 01/2002
- Worked in a team to maintain and deploy 550+ Macs at 14 different sites, including servers, desktops, and portables.
Education
Bachelor of Arts, Business Administration
Drake University, Des Moines, IA
Certifications
Jamf Pro Associate 100
Apple Certified Help Desk Specialist (ACHDS)
Apple Certified Technical Coordinator (ACTC)
Fortinet NSE Network Security Expert Certification
Skills
Windows Server • macOS • Linux (CentOS) • VMware vCenter • Server Virtualization • Microsoft 365 • Active Directory • Jamf Pro • FileWave • Apple DEP • MDM • Google Workspace • Veeam • Backup & Recovery • Cisco Call Manager • Extreme Networking • Network Cabling • Bash Scripting • Perl • SVN Version Control • Imaging & Deployment • Hybrid Cloud • Technical Documentation • Vendor Management
Why it works: It treats infrastructure as a system to be run, not a queue to be worked. Every role owns a stack, automates a chunk of it, and reports the cost or efficiency it moved. That is the same instinct a DevOps hiring manager screens for. See the methodology for how we build and label these examples.
The summary: It opens with scope and a hard win: 27 years across Windows, macOS, Linux, and cloud, and VMware virtualization that cut physical server costs 30%. One number up top, the rest earned in the bullets.
The experience: The bullets count things a DevOps reviewer respects: a $100K infrastructure budget, 700+ devices deployed, a reusable Bash script library for routine maintenance, MDM across iOS, macOS, and Windows, and a Perl script that cut data processing time 40%. Automation and cost show up in nearly every role.
The skills: Deep and platform-spanning: server virtualization, VMware vCenter, Active Directory, backup and recovery, Bash scripting, and hybrid cloud. A DevOps resume swaps some of these for Terraform, Kubernetes, and CI/CD, but the shape is the same: prove you run the whole stack.
The rest of the examples are labeled models. Each is built from Huntr's best-practice guidance and the skills real DevOps postings ask for, so you can see how a given specialty reads on paper. None claims an interview.
Junior and Senior DevOps Engineer Resume Examples
Junior DevOps Engineer Resume Example
Labeled model
A model of a strong first DevOps resume, shaped by best practice and the skills real postings ask of junior candidates.
Karim Haddadi
Junior DevOps Engineer - [email protected] - 111-111-1111 - Columbus, OH - linkedin.com/in/karim-haddadi-example1
About
Junior DevOps engineer with 2 years building and maintaining CI/CD pipelines and containerized services across a fleet of about 40 microservices. Comfortable in Linux, Bash, and Python, with hands-on AWS and Docker work. Moved from IT support into infrastructure and now automates the manual steps I used to do by hand.
Experience
Junior DevOps Engineer
Brightwater Software
03/2024 - Present
Columbus, OH
- Maintain GitHub Actions pipelines for 40 microservices, cutting a manual deploy step from 25 minutes to under 4
- Wrote 30 plus Bash and Python scripts that replaced repeat runbook tasks, saving the team about 6 hours a week
- Containerized 12 legacy services with Docker and shipped them to a shared Kubernetes cluster with zero rollback
- Built Prometheus alerts that flagged 3 memory leaks before they reached production
- Public work at github.com/karim-haddadi-example1: sample Terraform module and a reusable CI template
IT Support Technician
Lakeside Managed Services
06/2022 - 02/2024
Columbus, OH
- Resolved about 45 tickets a week across Linux and Windows endpoints with a 96% first-touch close rate
- Automated 8 recurring account and access tasks with PowerShell and Bash, freeing 4 hours weekly
- Documented network and server runbooks that cut new-hire ramp time from 3 weeks to 2
Education
Bachelor of Science - Information Technology
Franklin State University
08/2018 - 05/2022
Columbus, OH
Certifications
AWS Certified Cloud Practitioner
Skills
CI/CD • Docker • AWS • Linux • Bash • Python • Git • GitHub Actions • Terraform • Kubernetes • Ansible • Monitoring • Prometheus • Networking
What it shows: Two years plus an IT support background can still carry numbers. The bullets show GitHub Actions pipelines for 40 microservices, a deploy step cut from 25 minutes to under 4, and 30-plus Bash and Python scripts that saved the team six hours a week. A public github link and an AWS Cloud Practitioner cert stand in for the years a senior resume would show.
Senior DevOps Engineer Resume Example
Labeled model
A model of platform-scale DevOps leadership, built on the Terraform, Kubernetes, and AWS skills senior postings call for.
Kwame Adjei
Senior DevOps Engineer - [email protected] - 111-111-1111 - Austin, TX - linkedin.com/in/kwame-adjei-example1
About
Senior DevOps engineer with 11 years running production infrastructure that now serves about 8 million daily requests. Deep in Terraform, Kubernetes, and AWS, with a record of taking teams from weekly manual releases to many-times-a-day automated deploys. I keep systems boring so the people who use them never have to think about them.
Experience
Senior DevOps Engineer
Meridian Cloud Systems
01/2021 - Present
Austin, TX
- Own Terraform and Helm for a 6-cluster Kubernetes platform serving 8M daily requests at 99.98% uptime
- Cut mean deploy time from 40 minutes to 7 by rebuilding the CI/CD flow on GitHub Actions and Argo
- Reduced AWS spend by $460K a year by right-sizing instances and adding autoscaling to 3 core services
- Led incident response for a 5-engineer on-call rotation, driving mean time to recovery from 55 to 18 minutes
- Codified all infra as Terraform modules so a full environment now stands up in 22 minutes, down from 2 days
DevOps Engineer
Northgate Analytics
05/2017 - 12/2020
Austin, TX
- Migrated 60 plus services from EC2 to Kubernetes with no customer-facing downtime
- Built Prometheus and Grafana dashboards that cut alert noise 70% and surfaced 5 recurring failure modes
- Wrote Ansible playbooks that replaced a 3-hour manual patch cycle with a 20-minute automated one
Systems Engineer
Cedarline Technologies
07/2014 - 04/2017
Dallas, TX
- Ran Linux fleets of about 300 hosts and automated provisioning with Bash and early Terraform
- Set up the first Jenkins pipeline for the engineering team, cutting release prep from a day to an hour
Education
Bachelor of Science - Computer Science
Rio Grande State University
08/2010 - 05/2014
Austin, TX
Certifications
Certified Kubernetes Administrator
AWS Certified Solutions Architect, Associate
Skills
Terraform • CI/CD • Kubernetes • AWS • Docker • Python • Bash • Ansible • Infrastructure as Code • Jenkins • GitHub Actions • Prometheus • Grafana • Linux • Helm • Networking • Monitoring • Go
What it shows: Scale is the story: a 6-cluster Kubernetes platform serving 8M daily requests at 99.98% uptime, deploy time cut from 40 minutes to 7, and $460K a year saved by right-sizing AWS. Mean time to recovery dropping from 55 minutes to 18 shows reliability owned, not just infrastructure built. A CKA and AWS Solutions Architect back the claims.
Reliability and Platform DevOps Resume Examples
Site Reliability Engineer Resume Example
Labeled model
A model for SRE-flavored DevOps roles, grounded in the observability and reliability skills these postings name.
Larissa Moretti
Site Reliability Engineer - [email protected] - 111-111-1111 - Seattle, WA - linkedin.com/in/larissa-moretti-example1
About
DevOps engineer with an SRE focus and 9 years keeping high-traffic systems up under load, currently holding a 99.95% availability target across services taking about 12,000 requests a second. I set error budgets, chase toil to zero, and write the automation that lets a small team sleep at night. Strong in Kubernetes, Terraform, and Python.
Experience
Site Reliability Engineer
Cascade Stream Media
03/2020 - Present
Seattle, WA
- Hold a 99.95% availability target across services handling about 12,000 requests per second
- Cut mean time to recovery from 42 minutes to 11 by rebuilding runbooks into automated remediation
- Set error budgets with 3 product teams, which killed 6 low-value releases before they burned reliability
- Reduced on-call pages 58% by fixing the 5 alerts that caused most of the noise
- Built Terraform and Datadog monitors as code so new services ship with dashboards on day one
DevOps Engineer
Emerald Ledger Systems
07/2016 - 02/2020
Seattle, WA
- Moved 50 services onto Kubernetes and cut infra cost per request by 33%
- Wrote Python tooling that auto-scaled batch jobs and trimmed nightly run time from 5 hours to 90 minutes
- Built the CI/CD flow that took the team from weekly to daily releases with no rise in incidents
Operations Engineer
Ridgeway Telecom
06/2015 - 06/2016
Tacoma, WA
- Managed Linux servers and network gear for a regional carrier, holding uptime at 99.9%
- Automated log collection and alerting with Bash and early Prometheus, cutting blind spots by half
Education
Bachelor of Science - Computer Science
Puget Sound State University
08/2011 - 05/2015
Seattle, WA
Certifications
Certified Kubernetes Administrator
Skills
Kubernetes • Terraform • Python • CI/CD • Prometheus • Grafana • AWS • Docker • Observability • Monitoring • Bash • Linux • Ansible • Datadog • Infrastructure as Code • Networking
What it shows: It speaks fluent reliability: a 99.95% availability target across services taking 12,000 requests a second, mean time to recovery cut from 42 minutes to 11, and error budgets that killed six low-value releases before they burned uptime. Terraform and Datadog monitors shipped as code mean new services get dashboards on day one.
Platform Engineer Resume Example
Labeled model
A model for platform and internal-tooling DevOps, built on the paved-road skills these postings ask for.
Kirsten Vogel
Platform Engineer - [email protected] - 111-111-1111 - Denver, CO - linkedin.com/in/kirsten-vogel-example1
About
Platform engineer with 8 years building the internal tooling about 120 developers use to ship every day. I treat the platform as a product: self-service, documented, and hard to break. Strong in Terraform, Kubernetes, and Go, with a focus on paved-road workflows that make the safe path the easy one.
Experience
Platform Engineer
Sightline Data Co.
02/2022 - Present
Denver, CO
- Built an internal developer platform on Kubernetes and Backstage that 120 engineers use for self-service deploys
- Cut time to spin up a new service from 3 days to 25 minutes with Terraform templates and a Go scaffolding CLI
- Raised deploy frequency from 8 to 60 a day while holding change-failure rate under 4%
- Shipped golden-path Helm charts that removed 90% of hand-written Kubernetes manifests across 45 teams
- Tooling is public at github.com/kirsten-vogel-example1: the scaffolding CLI and a set of reusable Terraform modules
DevOps Engineer
Halcyon Retail Group
06/2018 - 01/2022
Denver, CO
- Replaced a hand-run release process with GitHub Actions pipelines for 35 services, freeing about 12 hours a week
- Built Prometheus and Grafana observability that dropped mean time to detect from 22 minutes to 5
- Wrote a Go operator that auto-healed 4 common failure modes without paging on-call
Site Operations Engineer
Blue Mesa Software
08/2016 - 05/2018
Boulder, CO
- Automated Linux host provisioning with Terraform and Ansible for a fleet of about 200 nodes
- Set up the first CI pipeline for the team, cutting broken builds reaching main by 65%
Education
Bachelor of Science - Computer Engineering
Front Range Institute of Technology
08/2012 - 05/2016
Denver, CO
Certifications
Certified Kubernetes Application Developer
Skills
Terraform • Kubernetes • Go • CI/CD • Docker • AWS • Infrastructure as Code • Helm • GitHub Actions • Python • Prometheus • Grafana • Linux • Bash • Monitoring • Observability
What it shows: The platform is treated as a product: an internal developer platform 120 engineers use for self-service, service spin-up cut from 3 days to 25 minutes, and deploy frequency raised from 8 to 60 a day while change-failure rate stayed under 4%. The public github link and golden-path Helm charts show the work, not just the title.
Cloud and Release DevOps Resume Examples
Cloud DevOps Engineer (AWS) Resume Example
Labeled model
A model for AWS-heavy DevOps work, tailored to the cloud, IaC, and networking skills these postings list most.
Leon Vasquez
Cloud DevOps Engineer (AWS) - [email protected] - 111-111-1111 - Phoenix, AZ - linkedin.com/in/leon-vasquez-example1
About
Cloud DevOps engineer with 7 years building and running AWS infrastructure, now managing about 300 accounts across a multi-account landing zone. I turn cloud sprawl into codified, cost-aware, auditable infra. Strong in Terraform, CloudFormation, and Python, with deep AWS networking and CI/CD experience.
Experience
Cloud DevOps Engineer
Sonoran Freight Digital
04/2021 - Present
Phoenix, AZ
- Manage a multi-account AWS landing zone of about 300 accounts, all defined in Terraform and reviewed as code
- Cut monthly AWS spend by $38K by tagging, right-sizing, and moving 40% of batch work to spot capacity
- Built CI/CD pipelines with GitHub Actions that deploy 25 services across 3 regions with automated rollback
- Codified VPC networking and security groups so a new region comes online in a day instead of 3 weeks
- Sample landing-zone Terraform lives at github.com/leon-vasquez-example1 for reviewers to read
DevOps Engineer
Agave Health Networks
06/2018 - 03/2021
Phoenix, AZ
- Migrated 45 on-prem workloads to AWS, cutting data-center cost by $210K a year
- Automated compliance checks with Python and AWS Config, closing 90% of audit findings before review
- Containerized core services with Docker and ran them on ECS, raising deploy frequency 4x
Cloud Support Engineer
Copperline Managed IT
05/2017 - 05/2018
Tucson, AZ
- Supported AWS environments for 20 small-business clients, holding a 97% ticket close rate
- Wrote CloudFormation templates that standardized client setups and cut onboarding from a week to a day
Education
Bachelor of Science - Information Systems
Sonoran Desert University
08/2013 - 05/2017
Phoenix, AZ
Certifications
AWS Certified DevOps Engineer, Professional
AWS Certified Solutions Architect, Associate
Skills
AWS • Terraform • CloudFormation • CI/CD • Python • Docker • Kubernetes • Infrastructure as Code • Bash • Linux • Ansible • Networking • Monitoring • GitHub Actions • Prometheus
What it shows: Cloud sprawl becomes codified infra: a 300-account AWS landing zone defined in Terraform, $38K a month cut by tagging and moving batch work to spot, and a new region online in a day instead of three weeks. AWS DevOps Professional and Solutions Architect certs match how cloud postings screen.
Release and CI/CD Engineer Resume Example
Labeled model
A model for release-engineering DevOps, matching the pipeline and automation skills these postings name.
Lena Brandtson
Release and CI/CD Engineer - [email protected] - 111-111-1111 - Minneapolis, MN - linkedin.com/in/lena-brandtson-example1
About
Release engineer with 6 years owning the path from commit to production for about 80 services. I build CI/CD pipelines that are fast, reproducible, and safe to roll back. Strong in Jenkins, GitHub Actions, and GitLab CI, with the scripting and container work to back them. My job is to make releases a non-event.
Experience
Release Engineer
Northern Loop Software
05/2021 - Present
Minneapolis, MN
- Own CI/CD for about 80 services across Jenkins and GitHub Actions, with a 99% pipeline success rate
- Cut average build-to-deploy time from 34 minutes to 9 by caching artifacts and parallelizing test stages
- Added automated rollback and canary steps that dropped failed-release incidents from 11 a quarter to 2
- Wrote Python and Bash tooling that generates release notes and version bumps, saving about 5 hours a week
- Pipeline templates are shared at github.com/lena-brandtson-example1 as reusable workflows
DevOps Engineer
Kettle River Analytics
06/2019 - 04/2021
St. Paul, MN
- Migrated 30 services from Jenkins to GitLab CI, cutting pipeline maintenance time in half
- Containerized build environments with Docker so builds ran the same on every machine, ending 'works on mine' tickets
- Set up Terraform-managed runners on Kubernetes that scaled build capacity 3x during peak hours
Build and Test Technician
Granite Peak Systems
07/2018 - 05/2019
Duluth, MN
- Kept nightly build and test jobs green, raising pass rate from 78% to 95% by fixing flaky tests
- Automated test-result reporting with Bash, cutting a 40-minute manual step to under 5
Education
Bachelor of Science - Software Engineering
Twin Cities Polytechnic
08/2014 - 05/2018
Minneapolis, MN
Certifications
GitLab Certified CI/CD Associate
Skills
CI/CD • Jenkins • GitHub Actions • GitLab CI • Docker • Bash • Python • Git • Terraform • Kubernetes • Linux • Ansible • Monitoring • Automation
What it shows: The whole resume is about making releases a non-event: CI/CD for 80 services at a 99% pipeline success rate, build-to-deploy cut from 34 minutes to 9, and automated rollback and canary steps that dropped failed-release incidents from 11 a quarter to 2. Shared pipeline templates on github give a reviewer something real to open.
Lead and Principal DevOps Engineer Resume Examples
Lead DevOps Engineer Resume Example
Labeled model
Lead-level DevOps as a model, drawn from the 47 lead-titled DevOps postings we track at firms like Paramount, Hilton, and Blue Yonder.
Diego Fuentes
Lead DevOps Engineer - [email protected] - 111-111-1111 - Austin, TX - linkedin.com/in/diego-fuentes-example1
About
Lead DevOps engineer with 13 years running production platforms, the last 4 leading a team of 7. I set the deploy standards a 90-engineer org ships on and cut our change-failure rate to under 3%. Strong in Terraform, Kubernetes, and AWS, and happiest when the on-call phone stays quiet.
Experience
Lead DevOps Engineer
Datadog
03/2021 - Present
Austin, TX
- Lead a 7-engineer platform team that owns CI/CD and infrastructure for 90 developers
- Set golden-path Terraform and Helm standards that cut change-failure rate from 9% to under 3%
- Drove a migration to ArgoCD that raised deploy frequency from 12 to 70 a day
- Built the on-call and incident review process that cut mean time to recovery from 48 to 15 minutes
- Cut AWS spend $520K a year through committed-use planning and right-sizing
Senior DevOps Engineer
Twilio
06/2016 - 02/2021
Austin, TX
- Owned Terraform for a 40-service AWS estate and automated environment builds down to 18 minutes
- Rebuilt CI on GitHub Actions, cutting build-to-deploy from 30 minutes to 8
DevOps Engineer
Rackspace
08/2012 - 05/2016
San Antonio, TX
- Automated Linux provisioning with Ansible across 250 hosts, ending manual server setup
Education
Bachelor of Science - Computer Science
University of Texas at Austin
08/2008 - 05/2012
Austin, TX
Certifications
AWS Certified Solutions Architect, Professional
Certified Kubernetes Administrator
Skills
Terraform • Kubernetes • AWS • CI/CD • Docker • Python • Go • Ansible • Infrastructure as Code • GitHub Actions • ArgoCD • Prometheus • Grafana • Linux • Helm • Incident Management
What it shows: Leadership reads in scope, not adjectives: a 7-engineer team, deploy frequency up from 12 to 70 a day, change-failure rate under 3%, and $520K a year cut from AWS. Mean time to recovery dropping from 48 minutes to 15 shows a leader who owns reliability, not just headcount.
Principal DevOps Engineer Resume Example
Labeled model
A labeled model for principal-scale DevOps, matched to the 94 principal and staff DevOps postings we see at companies like Dexcom, Life360, and Cadence.
Priya Raman
Principal DevOps Engineer - [email protected] - 111-111-1111 - Seattle, WA - linkedin.com/in/priya-raman-example1
About
Principal DevOps engineer with 15 years setting infrastructure direction across many teams. I designed the multi-region platform that holds 40 services at 99.99% uptime and mentor the engineers who run it. Deep in Terraform, Kubernetes, and cloud cost, with the writing habit that makes standards stick.
Experience
Principal DevOps Engineer
Cloudflare
04/2019 - Present
Seattle, WA
- Set the infrastructure architecture 6 teams build on and authored the platform standards they follow
- Designed a multi-region Kubernetes platform holding 40 services at 99.99% uptime
- Led a Terraform module program that cut new-service setup from 2 weeks to a day
- Cut cloud spend $1.1M a year with a company-wide right-sizing and commitment plan
Staff DevOps Engineer
MongoDB
07/2014 - 03/2019
New York, NY
- Built the CI/CD platform 200 engineers shipped on, at a 98% pipeline success rate
- Introduced progressive delivery that dropped failed releases 60%
Systems Engineer
VMware
06/2010 - 06/2014
Palo Alto, CA
- Ran virtualization fleets and automated provisioning with early Terraform and Bash
Education
Master of Science - Computer Science
Georgia Institute of Technology
08/2008 - 05/2010
Atlanta, GA
Certifications
Google Cloud Professional Cloud Architect
Certified Kubernetes Administrator
Skills
Terraform • Kubernetes • AWS • GCP • CI/CD • Go • Python • Docker • Infrastructure as Code • ArgoCD • Prometheus • Grafana • Service Mesh • Linux • Helm • Cost Optimization
What it shows: Principal is about leverage: architecture 6 teams build on, published standards, a Terraform program that cut new-service setup from two weeks to a day, and $1.1M a year saved across the company. The resume proves influence measured in other teams' output, not just its own.
DevSecOps and Kubernetes Engineer Resume Examples
DevSecOps Engineer Resume Example
Labeled model
Security-first DevOps, modeled on the 92 DevSecOps postings we track at employers like Gong, Quest Diagnostics, and Zywave.
Marcus Okoye
DevSecOps Engineer - [email protected] - 111-111-1111 - Atlanta, GA - linkedin.com/in/marcus-okoye-example1
About
DevSecOps engineer with 8 years folding security into the pipeline instead of bolting it on. I built the scanning and policy gates that cut critical vulnerabilities in production 74% without slowing deploys. Strong in Terraform, Kubernetes, and CI/CD, with hands-on work in SAST, secrets management, and policy as code.
Experience
DevSecOps Engineer
Okta
02/2020 - Present
Atlanta, GA
- Built SAST, dependency, and container scanning into CI for 60 services, cutting critical production vulnerabilities 74%
- Rolled out HashiCorp Vault for secrets across 40 services, ending hardcoded credentials
- Wrote OPA policies that block noncompliant Terraform before it reaches AWS
- Cut mean time to patch a critical CVE from 12 days to under 2
- Policy-as-code examples are public at github.com/marcus-okoye-example12
DevOps Engineer
Splunk
06/2016 - 01/2020
Remote
- Owned CI/CD for 30 services and added automated compliance checks for SOC 2 evidence
- Containerized 25 legacy apps and hardened base images to a CIS benchmark
Security Analyst
Rackspace
06/2015 - 05/2016
San Antonio, TX
- Automated vulnerability reporting with Python, cutting a weekly manual review to an hour
Education
Bachelor of Science - Cybersecurity
University of Maryland
08/2011 - 05/2015
College Park, MD
Certifications
Certified Kubernetes Security Specialist
AWS Certified Security, Specialty
Skills
Terraform • Kubernetes • CI/CD • Python • Docker • AWS • SAST • DAST • HashiCorp Vault • OPA • Trivy • Snyk • Infrastructure as Code • GitHub Actions • Linux • Compliance
What it shows: Security shows up as pipeline work, not paperwork: scanning built into CI for 60 services, critical production vulnerabilities down 74%, Vault ending hardcoded secrets, and time to patch a critical CVE cut from 12 days to under 2. OPA policies that block bad Terraform prove security enforced as code.
Kubernetes Engineer Resume Example
Labeled model
A model built for the Kubernetes specialist, drawn from the 26 Kubernetes engineer postings at firms like Ford, Capgemini, and Ashley Furniture.
Sofia Vasquez
Kubernetes Engineer - [email protected] - 111-111-1111 - Phoenix, AZ - linkedin.com/in/sofia-vasquez-example1
About
Kubernetes engineer with 7 years running clusters at scale, currently operating 9 production clusters that serve 15M requests a day. I cut cluster costs 35% with autoscaling and bin-packing while holding 99.97% uptime. Deep in Helm, Argo, and the controller patterns that keep large clusters boring.
Experience
Kubernetes Engineer
DigitalOcean
03/2021 - Present
Phoenix, AZ
- Operate 9 production Kubernetes clusters serving 15M daily requests at 99.97% uptime
- Cut cluster cost 35% with Cluster Autoscaler, spot pools, and bin-packing
- Built Helm and Argo golden paths so teams ship a new service in under an hour
- Ran a zero-downtime upgrade of 9 clusters across 4 Kubernetes versions
DevOps Engineer
Nutanix
07/2017 - 02/2021
San Jose, CA
- Migrated 50 services from EC2 to EKS with no customer downtime
- Wrote a custom controller in Go that automated certificate rotation for 200 workloads
Systems Administrator
Rackspace
06/2016 - 06/2017
San Antonio, TX
- Automated Linux patching with Ansible across 180 hosts
Education
Bachelor of Science - Computer Engineering
Arizona State University
08/2012 - 05/2016
Tempe, AZ
Certifications
Certified Kubernetes Administrator
Certified Kubernetes Application Developer
Skills
Kubernetes • Helm • ArgoCD • Terraform • Docker • Go • Python • AWS • EKS • Prometheus • Grafana • Istio • CI/CD • Linux • Networking
What it shows: Depth in one platform reads clearly: 9 production clusters, 15M daily requests at 99.97% uptime, cost cut 35% with autoscaling and bin-packing, and a zero-downtime upgrade across four Kubernetes versions. A Go controller that automates certificate rotation shows engineering, not just operation.
AWS and Azure DevOps Engineer Resume Examples
AWS DevOps Engineer Resume Example
Labeled model
AWS-native DevOps as a model, matched to the 32 AWS DevOps engineer postings we track at RedRiver Systems, Resource Innovations, and Smith Arnold.
Tobias Lindqvist
AWS DevOps Engineer - [email protected] - 111-111-1111 - Denver, CO - linkedin.com/in/tobias-lindqvist-example1
About
AWS DevOps engineer with 9 years building on AWS-native tooling, from CodePipeline to CDK. I moved a 120-service estate to fully automated deploys and cut release lead time from 3 days to 2 hours. Strong in Terraform, CloudFormation, and the Well-Architected habits that keep cost and uptime honest.
Experience
AWS DevOps Engineer
Fastly
04/2020 - Present
Denver, CO
- Automated deploys for a 120-service AWS estate, cutting release lead time from 3 days to 2 hours
- Built CI/CD on CodePipeline and CodeBuild with CDK-defined stages reused across teams
- Cut AWS spend $340K a year with savings plans, S3 lifecycle rules, and spot for batch work
- Set CloudWatch and X-Ray dashboards that cut mean time to detect from 20 minutes to 4
DevOps Engineer
DigitalOcean
06/2016 - 03/2020
Remote
- Migrated on-prem workloads to ECS and Lambda, retiring 40 physical servers
- Wrote Python tooling around the AWS SDK that automated account provisioning
Cloud Support Engineer
Rackspace
07/2015 - 05/2016
San Antonio, TX
- Automated backup and failover checks with Bash across 90 EC2 instances
Education
Bachelor of Science - Information Technology
Purdue University
08/2011 - 05/2015
West Lafayette, IN
Certifications
AWS Certified DevOps Engineer, Professional
AWS Certified Solutions Architect, Associate
Skills
AWS • Terraform • CloudFormation • CDK • CodePipeline • CodeBuild • Kubernetes • Docker • Python • CI/CD • Lambda • CloudWatch • Infrastructure as Code • Linux • ECS • Bash
What it shows: Cloud specialization reads as fluency in one platform's tools: CodePipeline and CDK stages reused across teams, release lead time cut from 3 days to 2 hours, $340K a year saved, and mean time to detect down from 20 minutes to 4. The AWS DevOps Professional cert matches how these postings screen.
Azure DevOps Engineer Resume Example
Labeled model
A model for the Microsoft stack, built from the 26 Azure DevOps engineer postings we see at Tata Consultancy Services, APEX Systems, and Netcompany-Intrasoft.
Aisha Karim
Azure DevOps Engineer - [email protected] - 111-111-1111 - Chicago, IL - linkedin.com/in/aisha-karim-example1
About
Azure DevOps engineer with 8 years running CI/CD and infrastructure on Azure, currently owning pipelines for 70 services in Azure DevOps. I cut deployment failures 65% with gated releases and Bicep-defined environments. Strong in AKS, Terraform, and the governance habits regulated teams need.
Experience
Azure DevOps Engineer
Zscaler
03/2020 - Present
Chicago, IL
- Own Azure DevOps pipelines for 70 services, with gated releases that cut deployment failures 65%
- Defined all environments as Bicep and Terraform so a new region stands up in a day
- Run AKS clusters serving 6M daily requests at 99.96% uptime
- Built Azure Monitor dashboards and alerts that cut mean time to recovery from 40 to 12 minutes
DevOps Engineer
Rackspace
06/2017 - 02/2020
Remote
- Migrated 35 services to AKS and automated releases with Azure Pipelines
- Wrote PowerShell and Python tooling that automated resource tagging and cost reports
Systems Engineer
Nutanix
07/2016 - 05/2017
San Jose, CA
- Automated Windows and Linux patching with Ansible across 200 hosts
Education
Bachelor of Science - Computer Science
Rutgers University
08/2012 - 05/2016
New Brunswick, NJ
Certifications
Microsoft Certified: Azure DevOps Engineer Expert
Microsoft Certified: Azure Administrator Associate
Skills
Azure • Azure DevOps • AKS • Terraform • Bicep • ARM Templates • Kubernetes • Docker • PowerShell • Python • CI/CD • Azure Monitor • Infrastructure as Code • Linux • Git
What it shows: The resume commits to one cloud: 70 services in Azure DevOps, deployment failures cut 65% with gated releases, environments defined in Bicep, and AKS at 99.96% uptime. The Azure DevOps Engineer Expert cert and Azure Monitor work show a candidate who lives in the Microsoft stack, which is what these postings ask for.
Cloud Infrastructure and Automation Resume Examples
Cloud Infrastructure Engineer Resume Example
Labeled model
Cloud infrastructure at scale, modeled on the 192 cloud infrastructure engineer postings we track at Camunda, Clover Health, and Five9.
Nathan Whitfield
Cloud Infrastructure Engineer - [email protected] - 111-111-1111 - Raleigh, NC - linkedin.com/in/nathan-whitfield-example1
About
Cloud infrastructure engineer with 10 years building the platforms applications run on, currently managing a 250-account AWS organization defined entirely in Terraform. I cut provisioning time from weeks to hours and held infrastructure uptime at 99.99%. Strong in networking, IAM, and the cost discipline large estates demand.
Experience
Cloud Infrastructure Engineer
Snowflake
03/2020 - Present
Raleigh, NC
- Manage a 250-account AWS organization defined entirely in Terraform
- Cut infrastructure provisioning from 3 weeks to under 4 hours with reusable modules
- Redesigned VPC and transit networking, cutting cross-account latency 30%
- Held platform uptime at 99.99% while tripling account count
Infrastructure Engineer
Akamai
06/2015 - 02/2020
Cambridge, MA
- Built the landing-zone pattern 12 teams onboarded onto
- Cut cloud spend $410K a year with tagging, budgets, and reserved capacity
Systems Administrator
Rackspace
06/2014 - 05/2015
San Antonio, TX
- Automated provisioning with Ansible across 300 Linux hosts
Education
Bachelor of Science - Computer Science
North Carolina State University
08/2010 - 05/2014
Raleigh, NC
Certifications
AWS Certified Solutions Architect, Professional
HashiCorp Certified: Terraform Associate
Skills
AWS • Terraform • Kubernetes • Networking • IAM • VPC • Python • CI/CD • CloudFormation • Docker • Infrastructure as Code • Linux • Ansible • Monitoring • Cost Optimization
What it shows: This is infrastructure at organization scale: a 250-account AWS org in Terraform, provisioning cut from three weeks to four hours, cross-account latency down 30%, and $410K a year saved. Uptime held at 99.99% while account count tripled shows a platform that scaled without breaking.
Automation Engineer Resume Example
Labeled model
A model for automation-heavy DevOps, drawn from the 2,382 automation engineer postings we track at TransPerfect, Amazon, and Red Oak Technologies.
Elena Petrova
Automation Engineer - [email protected] - 111-111-1111 - Columbus, OH - linkedin.com/in/elena-petrova-example1
About
Automation engineer with 7 years turning manual toil into code, having removed an estimated 30 hours of weekly manual work across my team. I build the scripts, pipelines, and self-service tools that let engineers stop clicking consoles. Strong in Python, Ansible, and CI/CD, with a bias toward things that run themselves.
Experience
Automation Engineer
PagerDuty
03/2021 - Present
Columbus, OH
- Built self-service tooling that removed an estimated 30 hours of weekly manual work across the team
- Wrote Ansible playbooks that replaced a 4-hour manual patch cycle with a 20-minute automated one
- Automated environment provisioning with Terraform, cutting setup from 2 days to 25 minutes
- Reusable automation scripts are public at github.com/elena-petrova-example12
DevOps Engineer
New Relic
06/2018 - 02/2021
Remote
- Automated release notes and version bumps with Python, saving 6 hours a week
- Built CI/CD for 40 services on GitHub Actions at a 97% success rate
IT Automation Specialist
Insight Global
07/2017 - 05/2018
Atlanta, GA
- Scripted onboarding provisioning, cutting new-hire setup from a day to 15 minutes
Education
Bachelor of Science - Information Systems
Ohio State University
08/2013 - 05/2017
Columbus, OH
Certifications
HashiCorp Certified: Terraform Associate
Red Hat Certified Engineer
Skills
Python • Ansible • Terraform • CI/CD • Bash • Docker • Kubernetes • AWS • GitHub Actions • Jenkins • Infrastructure as Code • Linux • Git • Monitoring • Go
What it shows: Automation is measured in toil removed: about 30 hours of weekly manual work gone, a 4-hour patch cycle cut to 20 minutes, and provisioning down from two days to 25 minutes. A public github link and a 97% pipeline success rate give a reviewer proof the automation actually runs.
Infrastructure and Observability Engineer Resume Examples
Infrastructure Engineer Resume Example
Labeled model
A labeled model for infrastructure DevOps, matched to the 505 infrastructure engineer postings we see at LaunchDarkly, SentiLink, and Sysdig.
Rahul Mehta
Infrastructure Engineer - [email protected] - 111-111-1111 - Chicago, IL - linkedin.com/in/rahul-mehta-example1
About
Infrastructure engineer with 9 years owning the systems everything else depends on, currently running a Terraform-managed platform of 180 services at 99.98% uptime. I cut incident volume 40% by making infrastructure boring and observable. Strong in Kubernetes, networking, and the automation that keeps a platform quiet.
Experience
Infrastructure Engineer
Confluent
03/2020 - Present
Chicago, IL
- Run a Terraform-managed platform of 180 services at 99.98% uptime
- Cut incident volume 40% by adding health checks, autoscaling, and better alerting
- Led a data-center-to-AWS migration for 60 services with no data loss
- Built Prometheus and Grafana dashboards that cut mean time to detect from 18 to 5 minutes
DevOps Engineer
Elastic
06/2016 - 02/2020
Remote
- Automated provisioning with Terraform and Ansible across 400 hosts
- Migrated 45 services to Kubernetes and cut deploy time from 35 minutes to 8
Systems Administrator
Rackspace
06/2015 - 05/2016
San Antonio, TX
- Ran Linux fleets and automated backups with Bash
Education
Bachelor of Science - Computer Engineering
University of Illinois Urbana-Champaign
08/2011 - 05/2015
Urbana, IL
Certifications
HashiCorp Certified: Terraform Associate
Certified Kubernetes Administrator
Skills
Terraform • Kubernetes • AWS • Networking • Linux • Python • Docker • CI/CD • Ansible • Prometheus • Grafana • Infrastructure as Code • Helm • Monitoring • Go
What it shows: Infrastructure work reads as reliability owned: 180 services at 99.98% uptime, incident volume cut 40%, a 60-service migration to AWS with no data loss, and mean time to detect down from 18 minutes to 5. The bullets prove the platform got quieter, which is the whole job.
Observability Engineer Resume Example
Labeled model
Observability DevOps as a model, drawn from a small set of 9 observability engineer postings we track at Morgan Stanley, Neuberger Berman, and Capgemini.
Grace Chen
Observability Engineer - [email protected] - 111-111-1111 - Seattle, WA - linkedin.com/in/grace-chen-example1
About
Observability engineer with 6 years making systems explain themselves, having cut mean time to detect across 80 services from 22 minutes to 3. I build the metrics, traces, and dashboards that turn 3 a.m. guesswork into a clear signal. Strong in Prometheus, Grafana, and OpenTelemetry.
Experience
Observability Engineer
Grafana Labs
03/2021 - Present
Seattle, WA
- Cut mean time to detect across 80 services from 22 minutes to 3 with better metrics and alerting
- Rolled out OpenTelemetry tracing across 60 services, ending blind spots between them
- Built Grafana dashboards shipped as code so new services get monitoring on day one
- Cut alert noise 70% by replacing threshold alerts with SLO-based ones
DevOps Engineer
Sumo Logic
06/2018 - 02/2021
Remote
- Owned Prometheus and Grafana for 40 services and reduced pager volume 50%
- Automated dashboard provisioning with Terraform
Site Reliability Analyst
Insight Global
07/2017 - 05/2018
Atlanta, GA
- Built the first centralized logging pipeline for a 20-service estate
Education
Bachelor of Science - Computer Science
University of Washington
08/2013 - 05/2017
Seattle, WA
Certifications
Certified Kubernetes Administrator
Prometheus Certified Associate
Skills
Prometheus • Grafana • OpenTelemetry • Datadog • Kubernetes • Terraform • Python • Go • CI/CD • Loki • Jaeger • Linux • Docker • Monitoring • Alerting
What it shows: The whole resume is about signal: mean time to detect cut from 22 minutes to 3, OpenTelemetry tracing across 60 services, dashboards shipped as code, and alert noise down 70% with SLO-based alerting. Observability is a small posting category, so this one is a model, but it shows what the specialty proves on paper.
Cloud Engineer Resume Example
Cloud Engineer Resume Example
Labeled model
A model for the cloud engineer track that DevOps often overlaps, built from the 9,897 cloud engineer postings we track at Robert Half, AllCloud, and Brooksource.
Omar Haddad
Cloud Engineer - [email protected] - 111-111-1111 - Arlington, VA - linkedin.com/in/omar-haddad-example1
About
Cloud engineer with 10 years designing and running cloud platforms, currently owning a multi-account AWS and GCP estate serving 30 teams. I cut cloud spend 28% while improving uptime to 99.99%. Strong in Terraform, networking, and the architecture choices that keep a cloud bill and an outage log both short.
Experience
Cloud Engineer
DigitalOcean
03/2020 - Present
Arlington, VA
- Own a multi-account AWS and GCP estate serving 30 teams
- Cut cloud spend 28% with committed use, autoscaling, and storage lifecycle rules
- Designed the landing zone and networking pattern new teams onboard onto
- Improved platform uptime to 99.99% with multi-region failover
Cloud Infrastructure Engineer
Akamai
06/2016 - 02/2020
Cambridge, MA
- Migrated 70 workloads from on-prem to AWS, retiring two data-center racks
- Automated provisioning with Terraform across 200-plus accounts
Systems Engineer
Rackspace
06/2014 - 05/2016
San Antonio, TX
- Ran Linux and VMware fleets and automated patching with Ansible
Education
Bachelor of Science - Computer Science
Virginia Tech
08/2010 - 05/2014
Blacksburg, VA
Certifications
AWS Certified Solutions Architect, Professional
Google Cloud Professional Cloud Architect
Skills
AWS • GCP • Terraform • Networking • Kubernetes • IAM • Python • CI/CD • CloudFormation • Docker • Infrastructure as Code • Linux • VPC • Monitoring • Cost Optimization
What it shows: This resume leans cloud, not pipeline: a multi-account AWS and GCP estate, spend cut 28%, a landing-zone pattern teams onboard onto, and 99.99% uptime with multi-region failover. It is the mirror image of the DevOps resumes above, and a useful check if your work is mostly platform and cost rather than releases.
MLOps and Network Automation Engineer Resume Examples
MLOps Engineer Resume Example
Labeled model
An illustrative model for the MLOps track many DevOps engineers grow into, built from the 42 MLOps engineer postings we track at Dailymotion, Canonical, and GetYourGuide.
Anaya Krishnan
MLOps Engineer - [email protected] - 111-111-1111 - Brooklyn, NY - linkedin.com/in/anaya-krishnan-example1 - github.com/anaya-krishnan-example12
About
MLOps engineer with 8 years bridging data science and production infrastructure, currently running the model-serving platform behind 40-plus machine learning services. I cut model deployment time from two weeks to under a day and hold inference uptime at 99.95%. Strong in Python, Kubernetes, and the MLflow and Kubeflow pipelines that move a model from notebook to production without a handoff meeting.
Experience
MLOps Engineer
Etsy
04/2021 - Present
Brooklyn, NY
- Own the model-serving platform behind 40-plus machine learning services
- Cut model deployment time from two weeks to under a day with a standardized MLflow pipeline
- Hold inference uptime at 99.95% with autoscaling and canary rollouts on Kubernetes
- Codified feature-store and training infrastructure in Terraform across three environments
Machine Learning Engineer
Nielsen
06/2018 - 03/2021
New York, NY
- Built CI/CD for model retraining, replacing a manual weekly release with a nightly automated run
- Containerized 25 models with Docker and moved batch scoring onto Kubeflow
Data Engineer
Cerner
07/2016 - 05/2018
Kansas City, MO
- Built Airflow pipelines feeding the analytics warehouse, retiring a set of hand-run scripts
Education
Master of Science - Computer Science
Georgia Institute of Technology
08/2014 - 05/2016
Atlanta, GA
Bachelor of Science - Computer Science
University of Illinois Urbana-Champaign
08/2010 - 05/2014
Urbana, IL
- Graduated with honors
Certifications
AWS Certified Machine Learning, Specialty
Certified Kubernetes Administrator
Skills
Python • MLOps • Kubernetes • CI/CD • Docker • Terraform • Machine Learning • MLflow • Kubeflow • Airflow • PyTorch • AWS • Databricks • GCP • Monitoring
What it shows: MLOps reads as the seam between data science and production: 40-plus models served, deployment time cut from two weeks to under a day, and inference held at 99.95%. The MLflow and Kubeflow pipelines and the AWS Machine Learning certification match how these postings screen, and a github link gives a reviewer proof the pipelines run.
Network Automation Engineer Resume Example
Labeled model
A labeled model for network-heavy DevOps work, drawn from the 6 network automation engineer postings we see at Cable One, Danaher, and Prime Engineering Italia.
Tomasz Kowalski
Network Automation Engineer - [email protected] - 111-111-1111 - Denver, CO - linkedin.com/in/tomasz-kowalski-example1 - github.com/tomasz-kowalski-example12
About
Network automation engineer with 9 years turning manual network changes into tested code, currently automating a multi-vendor Cisco and Juniper estate across 30 sites. I cut change windows from four hours to 25 minutes and pushed configuration drift close to zero with Ansible and CI checks. Comfortable across Python, Terraform, and the pipelines that treat a router config like any other reviewed pull request.
Experience
Network Automation Engineer
Comcast
02/2020 - Present
Denver, CO
- Automate a multi-vendor Cisco and Juniper estate across 30 sites
- Cut change windows from four hours to 25 minutes with Ansible playbooks and pipeline gating
- Drove configuration drift close to zero with nightly compliance checks in CI
- Built a Python and REST API tool that stands up a new branch network in under an hour
Network Engineer
Lumen Technologies
05/2016 - 01/2020
Denver, CO
- Migrated 200-plus switches to templated configurations managed in Git
- Cut recurring outage tickets 35% with automated backup and rollback
Systems Administrator
Charter Communications
06/2013 - 04/2016
St. Louis, MO
- Ran Linux fleets and scripted routine network tasks in Python
Education
Bachelor of Science - Computer Engineering
Purdue University
08/2009 - 05/2013
West Lafayette, IN
Certifications
Cisco Certified Network Associate (CCNA)
Juniper Networks Certified Associate, Junos (JNCIA-Junos)
Skills
Python • Ansible • Terraform • Cisco • Juniper • Linux • CI/CD • Kubernetes • Git • CCNA • REST APIs • Networking • DevOps • Palo Alto • Virtualization
What it shows: This resume treats the network like code: a multi-vendor Cisco and Juniper estate across 30 sites, change windows cut from four hours to 25 minutes, and configuration drift driven close to zero. The CCNA and Juniper credentials and the Ansible and Python work show a candidate who automates networks rather than clicking through them.
Skills for a DevOps Engineer Resume
We counted skills across 2,289 real DevOps postings on Huntr. Start from what employers actually ask for, then keep only the ones the specific job description names.
Core: Terraform (68% of postings), CI/CD (68%), Kubernetes (65%), Python (55%), AWS (52%), Docker (48%), Bash (33%), Linux (28%). These are the load-bearing terms; a DevOps resume missing most of them looks out of role.
Methods and practices: Infrastructure as Code (27%), Ansible (27%), monitoring (12%), Agile (10%). Frame your work as repeatable code and measured reliability, not one-off tickets.
Tools: Jenkins (21%), GitHub Actions (17%), Azure (17%), Git (15%), Prometheus (13%), CloudFormation (13%), Grafana (12%), Datadog (6%), Helm (6%), GitLab CI (6%). Name the tools you have actually run pipelines and clusters in.
How to use this: Lead with the core terms the posting repeats, prove one cloud deeply, and show at least one observability tool. A resume with tools but no reliability numbers, or clusters but no cost or uptime figure, reads half-finished.
Action Verbs for DevOps Resumes
Automate: automated, codified, scripted, templated, provisioned. Use these where a saved-time or repeatability number can follow: codified infra so a full environment stands up in 22 minutes.
Ship: built, shipped, deployed, released, migrated. Pair with a rate or a count: cut build-to-deploy from 34 minutes to 9; migrated 60-plus services to Kubernetes with no downtime.
Keep running: stabilized, recovered, right-sized, monitored, resolved. These carry reliability: drove mean time to recovery from 55 minutes to 18; cut AWS spend $460K a year.
The weak version of a DevOps bullet says "responsible for maintaining CI/CD pipelines." The strong version names the pipeline, the count, and what changed: a rate, a cost, or a recovery time.
Turn a Weak DevOps Bullet Into a Strong One
Weak
Responsible for maintaining CI/CD pipelines, cloud infrastructure, and monitoring for multiple services.
Strong
Rebuilt CI/CD on GitHub Actions and Argo for 25 services, cut mean deploy time from 40 minutes to 7, and held 99.98% uptime while dropping AWS spend $460K a year.
Same job, real evidence. The strong bullet answers the three questions a DevOps hiring manager has: how fast does it ship, how reliable is it, and what did it cost.
DevOps Engineer vs Cloud Engineer on a Resume
Scope: a DevOps engineer owns the path from commit to production and the automation around it; a cloud engineer owns the cloud platform that path runs on. Metrics: DevOps resumes prove deploy speed, pipeline success, and mean time to recovery; cloud resumes prove uptime, cost, and scaling of the underlying infra. Narrative: if your bullets are mostly about pipelines, releases, and reliability, a DevOps title fits; if they are mostly about landing zones, networking, and cloud cost, you may read as a cloud engineer.
Get a DevOps Resume Through the Screeners
Screeners match strings, so spelling matters. Write CI/CD the way the posting does, name Kubernetes and not just "k8s" if the job spells it out, and mirror the exact tool names, since Terraform and GitHub Actions are literal matches. Keep your title standard (DevOps Engineer, not Infrastructure Wizard). Run the posting through Huntr's keyword scanner to see which terms you are missing, then let Resume Tailor fold the matches into your resume. Tailored resumes convert to interviews at about twice the rate of generic ones in our data.
DevOps Resume FAQ
What skills should a DevOps engineer put on a resume?
Start from the posting. Across 2,289 DevOps postings the constants are Terraform (68%), CI/CD (68%), Kubernetes (65%), Python (55%), AWS (52%), and Docker (48%). Add one observability tool like Prometheus or Datadog, and name the exact tools you have run, not a generic list.
Do I need Terraform on a DevOps resume?
Effectively yes. Terraform appeared in 68% of the postings we read, tied with CI/CD as the single most requested skill. If you use a different IaC tool like Pulumi or CloudFormation (13%), name it, but a DevOps resume that shows no infrastructure as code at all reads junior for the role.
How do I move into DevOps from software development or IT support?
Reframe the automation you already do. The one DevOps resume in our interview set came from a C#/.NET developer, and the verified example on this page started in support and programming before owning infrastructure. Write the pipelines, scripts, and reliability work with numbers, add a cloud or Kubernetes cert, and point to real code on GitHub.
Should a DevOps resume include a GitHub link?
For this role, yes. A GitHub link that shows a real Terraform module, Helm chart (6% of postings), or pipeline template lets a reviewer read your work instead of trusting a bullet. It is a strong signal for DevOps, where the resume is a claim and the repo is the proof.
Methodology
A note on the verified example, in plain terms: the DevOps-titled interview set on Huntr was thin, just one person, which is not enough to build a role-native verified composite. So the verified resume on this page is an adjacent one, a systems and infrastructure engineering resume that reached the interview stage and owns the same servers, virtualization, and automation DevOps grew out of. We label it as such on its callout, and the interview companies we name (Visa, Nintendo, Universal Music Group, Fortinet, and ZEISS Group) are real and unchanged. We swap names, employers, and schools for comparable real ones and check every swap against our database so no example points to a person.
The DevOps specialty examples are models, labeled on every callout, and make no interview claim. Their skills come from the 2,289 postings cited above and their shape follows what a strong technical resume does: one scope number in the summary, a rate or cost in every bullet, real code linked where it helps, and tools named the way postings name them.
Conclusion
A DevOps resume that works reads like the job: pipelines that ship, systems that stay up, and toil that got automated away. Lead with the core terms the posting repeats, prove one cloud deeply, show a reliability number, and link the code when you can. You do not need a decade of titles to start; you need evidence that when you touch infrastructure, it gets faster, cheaper, or more reliable.
Build yours in Huntr's resume builder, then run every application through Resume Tailor so your skills match the posting before a screener ever sees it.
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