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DevOps Engineer CV Example & Writing Guide
A DevOps CV made of tool logos is the easiest one to write and the hardest one to believe, because every candidate lists the same twelve. The distinguishing evidence in this role is temporal and financial: how often the team could release before you arrived and after, how long an outage lasted, what the monthly cloud bill did, and how much manual work stopped existing. This page is one complete DevOps CV written at senior level, with the reasoning behind each section and twelve bullets to rewrite against your own dashboards.
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The full CV example
This example is written at nine years, so it puts the platform outcomes first and compresses the sysadmin years that started the career into a single entry.
Wiktor Sowa
Senior DevOps Engineer - delivery pipelines, Kubernetes and cloud cost
Krakow, Poland - hybrid, one day on site
Professional summary
Senior DevOps engineer with nine years across mobility and insurance platforms. Took a 60-service estate from fortnightly releases to 14 a week with change failure rate under 5%, and cut the monthly AWS bill from 38,000 to 24,000 dollars without moving a workload off the platform. Runs the incident process as well as the infrastructure.
Experience
Senior DevOps Engineer - Orkan Mobility
2022 - presentScooter sharing across 11 cities, 45 engineers, platform team of 4
- Rebuilt the delivery pipeline around trunk-based development and progressive rollouts, taking releases from fortnightly to 14 a week while change failure rate settled under 5%.
- Reduced lead time from merge to production from 6 days to 3 hours by removing two manual approval gates and replacing them with automated policy checks and an automatic rollback on error-rate breach.
- Cut the monthly AWS bill from 38,000 to 24,000 dollars using right-sized node groups, spot capacity for batch work and scheduled shutdown of 23 idle preview environments.
- Raised Terraform coverage of production infrastructure from about 40% to 95%, which ended the class of incidents caused by console changes nobody could reconstruct.
- Cut mean time to recovery from 95 minutes to 22 by writing service-level runbooks and adding a dashboard that shows the four dependencies most likely to be at fault.
- Ran quarterly restore drills against production backups; the last one brought the ride-history database back in 41 minutes against a 4-hour recovery objective.
DevOps Engineer - Baltic Insure
2019 - 2022Insurance group, regulated environment, 25 engineers
- Migrated 34 services from hand-built virtual machines to a managed Kubernetes cluster over nine months with no scheduled downtime for customer-facing systems.
- Automated the quarterly access review that three teams had been completing by spreadsheet, turning 40 hours of work into a generated report and a half-hour sign-off.
- Introduced signed builds and an artefact promotion path between environments, which replaced the practice of rebuilding the same code separately for staging and production.
Systems Administrator - Netrix Hosting
2016 - 2019Managed hosting provider, 400 client servers
- Ran Linux fleet operations and the on-call rotation; automated the patching routine that had consumed most of every maintenance window.
Education
BEng Computer Science - AGH University of Science and Technology, Krakow
2012 - 2016Specialisation in distributed systems
Skills
Languages
Polish (native), English (C1), German (B1)
Certifications
CKA, HashiCorp Terraform Associate
Fictional example. Replace every detail, including the figures, with your own.
Why this CV works
Five things this example does that a tool-logo DevOps CV cannot:
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Release frequency is paired with failure rate
Fortnightly to 14 releases a week is only impressive if quality held. Adding "change failure rate settled under 5%" answers the objection a reader was already forming, and shows the candidate knows both halves of the trade-off.
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Cost reduction says what was not sacrificed
"38,000 to 24,000 dollars without moving a workload off the platform" closes the obvious question, which is whether the saving came from deleting something the business needed. The three named techniques make the claim answerable.
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Recovery time appears, not just uptime
Uptime percentages are easy to quote and hard to interrogate. Mean time to recovery falling from 95 minutes to 22, with the runbooks and dependency dashboard named as the cause, describes work rather than a state of affairs.
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It includes a restore drill with a target
41 minutes against a 4-hour recovery objective is the rarest sentence on a DevOps CV, because most engineers never rehearse a restore. Anyone who has worked in this role will read that line twice.
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Nine years fit in three entries
The hosting job that started the career is one line about fleet automation. Senior CVs get long because every migration feels worth describing; compressing the oldest role is what keeps page one about the work that matches the next job.
Professional summary examples
Entry level
Early in this role the credible unit is one automation you own. Naming the module the team reuses is stronger than listing every tool in the pipeline.
Mid level
Mid-level should show one migration you carried and one piece of toil you deleted. The pager line signals that you operate what you build.
Senior
Senior summaries should carry a delivery number, a money number and a statement about process ownership. The third is what separates senior from experienced.
Experience bullet examples
Twelve bullets in weak and strong form. Every figure here is the fictional character's - yours has to come from your own pipeline metrics, your own billing console and your own incident log, because an interviewer in this role will ask how you measured it.
- Weak
- Improved the CI/CD pipeline.
- Stronger
- Took releases from fortnightly to 14 a week by moving to trunk-based development with progressive rollouts, holding change failure rate under 5%.
- Why
- Frequency alone invites the question about quality. Answer it in the same sentence.
- Weak
- Worked with Terraform.
- Stronger
- Raised Terraform coverage of production from about 40% to 95%, ending the incidents caused by console changes nobody could reconstruct.
- Why
- Coverage percentage plus the failure class it removed. The tool name on its own is a keyword.
- Weak
- Reduced cloud costs.
- Stronger
- Cut the monthly AWS bill from 38,000 to 24,000 dollars with right-sized node groups, spot capacity for batch work and scheduled shutdown of 23 idle preview environments.
- Why
- Name the three levers. A cost number with no method behind it reads as a budget cut someone else decided.
- Weak
- Managed Kubernetes clusters.
- Stronger
- Migrated 34 services from hand-built virtual machines to managed Kubernetes over nine months with no scheduled downtime for customer-facing systems.
- Why
- Scope, duration and the constraint held throughout. Managing a cluster is a state; migrating onto one is a decision with consequences.
- Weak
- Handled incidents and on-call.
- Stronger
- Cut mean time to recovery from 95 minutes to 22 by writing service-level runbooks and surfacing the four dependencies most often at fault.
- Why
- Recovery time is the number that describes operational maturity. Uptime percentages are harder to interrogate and therefore less persuasive.
- Weak
- Set up monitoring.
- Stronger
- Replaced 90 host-level alerts with 12 symptom-based ones tied to user-visible failure, which cut out-of-hours pages from about 20 a month to 3.
- Why
- Deleting alerts is better evidence of judgement than adding dashboards.
- Weak
- Automated manual processes.
- Stronger
- Automated the quarterly access review three teams were doing by spreadsheet, turning 40 hours of work into a generated report and a half-hour sign-off.
- Why
- Count the hours that stopped existing, and name who used to spend them.
- Weak
- Improved deployment speed.
- Stronger
- Reduced lead time from merge to production from 6 days to 3 hours by replacing two manual approval gates with automated policy checks and an automatic rollback on error-rate breach.
- Why
- Removing approvals sounds risky until you name what replaced them. Include the control.
- Weak
- Worked on backups and disaster recovery.
- Stronger
- Ran quarterly restore drills against production backups; the most recent rebuilt the ride-history database in 41 minutes against a 4-hour recovery objective.
- Why
- A backup nobody has restored is a hope. The drill is the achievement.
- Weak
- Improved security of the infrastructure.
- Stronger
- Moved 60 services off static credentials to short-lived identities issued by the cluster, then revoked 140 long-lived keys over a four-week deprecation window.
- Why
- Security work needs the count of what you retired, not just what you introduced.
- Weak
- Helped developers with infrastructure.
- Stronger
- Shipped a service template with pipeline, dashboards and alerts included, which took new-service setup from about two days to under an hour.
- Why
- Platform work is judged by what other engineers stop having to do. Measure it from their side.
- Weak
- Upgraded systems and kept them patched.
- Stronger
- Established a monthly cluster upgrade window with a canary node pool, so the platform ran two versions behind the current release instead of eleven months behind.
- Why
- Patching is only a story when you name how far behind you were and what stopped that recurring.
Skills that belong on this CV
Hard skills
- Kubernetes in production: workloads, networking, autoscaling, upgrades
- Infrastructure as code with Terraform, Pulumi or CloudFormation
- CI/CD pipeline design, artefact promotion and progressive delivery
- One major cloud in depth (AWS, Azure or GCP) including its identity model
- Observability: metrics, logs, traces, service level objectives, alert design
- Linux systems and networking fundamentals
- Secrets management and workload identity
- Incident command, post-incident review and disaster recovery testing
- Cloud cost analysis and capacity planning
Tools and technologies
- Terraform
- Kubernetes and Helm
- Argo CD or Flux
- GitHub Actions, GitLab CI or Jenkins
- Prometheus and Grafana
- Vault or a cloud secrets manager
- Ansible
- OpenTelemetry
Role-specific strengths
- Deciding what should not be automated yet
- Running an incident while people are asking for updates
- Reading a cloud bill down to the line item that actually moved
Soft skills worth proving
- Refusing a risky release without becoming the team's obstacle
- Writing a runbook someone can follow at 4 a.m. without you
- Teaching developers to own their own alerts
Education and certifications
This role has more entrants from system administration and support than from a computer science degree, so the education block is rarely decisive. Keep it to degree, institution and years below experience. If you came through operations or a help desk, that path is worth one compressed entry rather than an apology: fleet and patching experience explains where the operational instinct came from.
Certifications
- CKA or CKAD (Certified Kubernetes Administrator or Application Developer) - The one certificate that carries weight here, because the exam is practical. List it when Kubernetes is in the advert.
- HashiCorp Terraform Associate - Cheap to earn and it matches a keyword most infrastructure adverts contain.
- AWS Solutions Architect Professional or the Azure and Google equivalents - Worth the space when the employer's cloud is named in the advert and your experience is mostly in a different one.
Certificates are worth more in this role than in most engineering jobs, because the practical exams map onto real tasks. They still sit below the evidence: a restore drill with a time against a target beats any three of them.
How an ATS reads this CV
Appliora's ATS Checker runs 14 checks against an uploaded file and shows the text its parser extracted. Four of them catch the mistakes that DevOps CVs make specifically, mostly caused by long tool inventories and long careers.
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Concrete skills
The tool sprawl in this role is genuine, and a skills block of sixty tokens is the result. The check looks for recognisable skills rather than orphan fragments: "k8s", "IaC" and a bare version number read as noise. Group by function, keep what the advert asks for, and drop what you last used three jobs ago.
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Length against experience
Nine years of migrations tempts a four-page CV. This check compares length against the experience described. Two pages is the working limit at senior level; get there by compressing the earliest role to one line rather than by shrinking the font.
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Format traps
Architecture diagrams pasted as images, tool logos in place of names and pipeline flowcharts all contribute nothing to extracted text. A cluster topology drawing that a parser cannot read is also one a hiring manager will skip on a phone screen.
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File hygiene
This check reads the file name and document metadata. A file called cv_final_v7_new.pdf, or one whose author field still carries a previous employer's template name, is the kind of detail an infrastructure interviewer notices. Name the file with your own name and the role.
Templates that suit this role
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ATS Structured
Single column and plain headings, which keeps a long tool list and a dense experience section readable in extraction order. The default for enterprise portals.
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Tech Stack
Groups cloud, orchestration, pipeline and observability tooling into one full-width block, so a platform lead can match the stack without reading the whole page.
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Executive Premium
For senior and lead applications where the page has to carry incident ownership and cost responsibility as prominently as the tooling, and the PDF goes straight to a hiring manager.
Build this CV in Appliora
Start from a layout that suits the role, with live preview and a free ATS check before you send it.