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Examples & writing guide

AWS DevOps CV example and writing guide

Updated 24 July 2026

An AWS DevOps CV needs to connect technical work with results: what you changed, the scale of the work and what improved. This guide explains how to structure that evidence, write credible achievement bullets and present qualifications without burying the reader beneath a long inventory of tools.

Examples by experience level

01

Junior AWS DevOps Engineer

Riley Sample
Junior AWS DevOps Engineer
+44 7700 900123

·

riley.sample@example.com

·

https://www.linkedin.com/in/riley-sample-aws-devops
SUMMARY
Junior AWS DevOps Engineer with hands-on experience supporting cloud infrastructure, deployment automation and system monitoring. Works well with development and operations colleagues to improve release processes, investigate incidents and document repeatable procedures.
EXPERIENCE
​
Junior AWS DevOps Engineer
Northbridge Digital Services
Sep. 2024
 - 
Present
•
Supported 6 CI/CD pipelines across development, test and production environments, helping the team increase successful weekly deployments from 8 to 13.
•
Created and updated 14 AWS CloudFormation templates for repeatable cloud infrastructure changes, cutting average environment setup time from 90 minutes to 35 minutes.
•
Built monitoring dashboards and alerts for 18 cloud resources, reducing the average time taken to identify performance issues from 24 minutes to 11 minutes.
•
Worked with 5 developers and 2 operations engineers to document deployment and rollback procedures, reducing release-related support tickets by 22% over six months.
Cloud Operations Intern
Harbour Lane Software
Jun. 2023
 - 
Aug. 2024
•
Automated 4 recurring deployment checks with team-approved scripts, saving approximately 3 hours of manual work each month.
•
Reviewed monitoring alerts for 12 test and staging services and resolved or escalated 46 incidents within agreed team response times.
•
Assisted with Amazon EC2 configuration and maintenance for 9 non-production instances, helping reduce avoidable configuration requests by 18%.
•
Updated 21 technical runbooks covering access, deployment and incident procedures, raising the team's quarterly documentation audit score from 76% to 91%.
SKILLS
​
AWS cloud infrastructure
Amazon EC2
AWS CloudFormation
CI/CD pipelines
GitLab
GitHub
Jenkins
Serverless applications
Container-based applications
System performance monitoring
Deployment automation
Technical documentation
EDUCATION
​
Bachelor of Science
Manchester Metropolitan University

,

Computer Science
2020
 - 
2023
•
Final project: designed a version-controlled deployment workflow for a small cloud-hosted application and documented testing, monitoring and rollback steps.
ACHIEVEMENTS
​
•
AWS Certified Developer – Associate

|

AWS
ADDITIONAL INFORMATION
​
Languages: 
English (Native)
Interests: 
•
Cloud engineering labs and technical meet-ups
•
Linux home-server projects
Volunteering: 
•
Volunteer digital support assistant at a Manchester community centre, helping staff resolve account and device issues
Other: 
•
Personal project: built a small multi-environment deployment workflow for a container-based web application, with infrastructure configuration and rollback notes stored in version control

TemplateBlue Horizon3 / 5

Why this works

This example uses a degree project, internship and junior role to show credible progress through specific deployment, infrastructure and monitoring results.

Continue writing your CV
02

Mid-level AWS DevOps Engineer

Riley Sample
AWS DevOps Engineer

 

Email: 
riley.sample.devops@example.com
Phone: 
+44 7700 900214
Location: 
Manchester, UK
LinkedIn: 
https://www.linkedin.com/in/riley-sample-aws-devops
Summary
AWS DevOps Engineer with five years of experience managing cloud infrastructure, improving CI/CD pipelines and automating deployments across development, test and production environments. Works with development and operations teams to make releases faster and more dependable, with recent results including a 58% reduction in deployment time and a 24% fall in monthly cloud spend.
Skills
​
•
AWS cloud infrastructure
•
AWS CloudFormation
•
Amazon EC2
•
CI/CD pipeline management
•
GitLab CI/CD
•
Jenkins
•
Serverless applications
•
Container-based deployments
•
Infrastructure monitoring
•
Deployment automation
•
Linux and shell scripting
•
Incident response
Experience
​
Apr. 2023

-

Present
AWS DevOps Engineer
, 
Northbridge Digital Services
Owns cloud infrastructure and release automation for a software delivery team, working across several environments and supporting developers from build through production deployment.
•
Rebuilt six CI/CD pipelines for development, test and production workloads, cutting average deployment time from 38 minutes to 16 minutes and increasing release frequency from weekly to three times per week.
•
Converted 42 manually maintained infrastructure components into reusable AWS CloudFormation templates, reducing environment provisioning from two working days to under three hours.
•
Introduced performance monitoring and alert thresholds across 28 production services, helping the team reduce mean time to detect incidents from 19 minutes to 7 minutes.
•
Reviewed Amazon EC2 usage and deployment schedules with engineering teams, reducing monthly cloud spend by 24% while maintaining agreed service capacity.
Jul. 2021

-

Mar. 2023
Junior DevOps Engineer
, 
Harbourline Commerce Platform
Supported cloud environments, build pipelines and releases for a growing online commerce platform, progressing from routine operational tasks to independent ownership of deployment improvements.
•
Automated 11 recurring deployment and environment checks with shell scripts and pipeline jobs, saving the engineering team about 14 hours of manual work each month.
•
Maintained Jenkins jobs for four application teams and resolved 86% of failed builds within the same working day over a 12-month period.
•
Helped move three services to container-based deployment workflows, reducing release rollback time from 25 minutes to 9 minutes.
•
Worked with developers to standardise release checklists across five repositories, lowering deployment-related support tickets by 31% over nine months.
Sep. 2019

-

Jun. 2021
Cloud Support Analyst
, 
Cedar Gate Technology
Provided operational support for hosted applications and cloud resources, building practical experience in monitoring, incident handling and routine infrastructure changes.
•
Monitored 75 cloud resources during a rotating support shift and met the team's response target for 94% of priority incidents.
•
Created 18 support runbooks for common alerts and recovery tasks, reducing average first-line resolution time by 22%.
•
Completed 160 routine access, configuration and capacity requests with a 98% quality-check pass rate over 12 months.
•
Analysed repeat incidents and proposed five monitoring changes, which cut avoidable overnight alerts by 27% in one quarter.
Education
​
2016

-

2019
Bachelor of Science
North West Metropolitan University

,

Computer Science
•
Final-year project: built and evaluated an automated deployment workflow for a small web application across separate test and production environments.
Achievements
​
•
AWS Certified Developer – Associate

|

AWS
Additional Information
​
Languages: 
English (Native)
Interests: 
•
Cloud engineering meet-ups
•
Infrastructure automation labs
Volunteering: 
•
Volunteer mentor at a community coding group, supporting monthly introductory cloud workshops for groups of up to 12 learners

TemplateGrey Frame5 / 5

Why this works

This CV shows progression from cloud support to ownership of multi-environment infrastructure and delivery pipelines, backed by clear, defensible measures of speed, reliability and cost.

Continue writing your CV
03

Senior AWS DevOps Engineer

RILEY SAMPLE
Senior AWS DevOps Engineer
SUMMARY
Senior AWS DevOps Engineer with eight years of experience managing cloud infrastructure, automating deployments and improving release practices. Leads multi-environment platform work, builds dependable CI/CD pipelines and uses monitoring data to improve reliability, delivery speed and cloud expenditure.
CONTACT INFORMATION
​
Email: 
riley.sample.devops@example.com
Phone: 
+44 7700 900246
Location: 
Manchester, UK
LinkedIn: 
https://www.linkedin.com/in/riley-sample-devops
SKILLS
​
•
AWS CloudFormation and Terraform
•
CI/CD pipeline management
•
Amazon EC2, S3 and Lambda
•
Serverless and container-based applications
•
Docker and Kubernetes
•
GitLab, Jenkins and GitHub
•
Ansible and Linux administration
•
Python and Bash automation
•
Cloud infrastructure management
•
Deployment automation
•
System performance monitoring
•
Technical leadership and DevOps collaboration
EXPERIENCE
​
Senior AWS DevOps Engineer
Northbridge Digital Services
Apr. 2022
 - 
Present
Leads cloud infrastructure and delivery improvement work for a digital services business, with responsibility for platform standards, deployment automation, performance monitoring and collaboration between development and operations teams.
•
Led the redesign of 14 CI/CD pipelines across development, test and production environments, reducing median deployment time from 46 minutes to 10 minutes and increasing successful releases from 88% to 97%.
•
Set infrastructure standards using AWS CloudFormation and Terraform for 63 cloud resources across six services, cutting new environment setup from three working days to four hours.
•
Introduced monitoring, release checks and incident reviews for 22 production workloads, reducing recurring service incidents by 34% over 12 months.
•
Directed an Amazon EC2 capacity and deployment-scheduling review with six engineering leads, reducing monthly cloud expenditure by 21% while maintaining agreed service capacity.
AWS DevOps Engineer
Meridian Commerce Platforms
Jul. 2019
 - 
Mar. 2022
Managed cloud infrastructure and automated delivery processes for customer-facing applications running across several environments.
•
Built and maintained 11 Jenkins pipelines for application and infrastructure releases, reducing manual deployment steps from 18 to four.
•
Automated multi-environment deployments for Docker containers and serverless applications, increasing planned release frequency from twice monthly to three times weekly.
•
Worked with five development squads to introduce common GitHub review and release practices, reducing deployment-related rollbacks by 29% in nine months.
•
Created monitoring dashboards and operational alerts for 17 services, cutting average incident detection time from 24 minutes to seven minutes.
Junior DevOps Engineer
Harbourline Software Cooperative
Sep. 2017
 - 
Jun. 2019
Supported cloud infrastructure, deployment pipelines and production monitoring while developing practical AWS DevOps experience.
•
Supported GitLab pipelines for eight applications and resolved 94% of routine build failures within the team's service target.
•
Converted 27 manually maintained infrastructure components into reusable AWS CloudFormation templates, reducing configuration errors by 31%.
•
Wrote Python and Bash scripts for three routine Linux support tasks, saving the operations team an estimated nine hours each month.
•
Assisted with weekly performance reviews of 12 production workloads, helping the team close 41 capacity and alerting issues in one year.
EDUCATION
​
Bachelor of Science
Northern Metropolitan University

,

Computer Science
2013
 - 
2017
•
Final-year project created a repeatable deployment workflow for a small web application.
ACHIEVEMENTS
​
•
AWS Certified DevOps Engineer – Professional

|

AWS
•
AWS Certified Developer – Associate

|

AWS
ADDITIONAL INFORMATION
​
Languages: 
English (Native)
Interests: 
•
Platform engineering meet-ups
•
Cloud cost optimisation
Volunteering: 
•
Volunteer mentor for early-career engineers at a community technology group

TemplateAshford1 / 5

Why this works

Shows platform leadership and measurable results across deployment speed, reliability, infrastructure delivery and cloud expenditure.

Continue writing your CV
Junior vs senior: what changes
AspectJuniorSenior
Personal statementLead with relevant projects, training and transferable evidence, then identify the AWS DevOps work you have already completed. Keep the scope honest and label academic or personal work clearly.Lead with cloud infrastructure scale, delivery ownership and measured operational outcomes. Explain the engineering or business problem solved instead of opening with a string of tool names.
CI/CD evidenceShow a defined contribution to a pipeline, such as configuring a stage, investigating a failed job or supporting a deployment. Explain what you changed and how you checked the result.Show ownership of multiple pipelines or environments, the delivery approach introduced and the measured change in deployment performance. Separate your implementation work, technical direction and leadership.
Cloud infrastructureUse project, placement or early-career evidence to explain hands-on work with AWS CloudFormation, Amazon EC2, serverless or container-based applications. State whether the environment was academic, personal or commercial.Explain the infrastructure scope, your technical decisions and the effect of cloud changes on delivery, system performance or cost. Use defensible measures and define the boundaries of your responsibility.
Monitoring and operationsShow how you monitored system performance, investigated a signal and contributed to the response. A small example with a checked outcome is stronger than a broad claim of operational expertise.Show ownership of monitoring practices and operational decisions across services or teams. Connect each intervention to a measured outcome and explain your role in selecting or implementing the response.
CollaborationGive one clear example of working with development or operations colleagues. State your contribution, the deployment or handover problem involved and what changed afterwards.Demonstrate coordination across development and operations teams, resolution of competing priorities and improvement of shared development or deployment practices. Tie leadership claims to a defined service, programme or team.
Skills sectionFocus on tools and methods used in projects, placements or junior roles, with supporting evidence elsewhere in the CV. Distinguish brief exposure from repeated hands-on use.Prioritise technologies relevant to the vacancy, then support them with examples of technical ownership, scale and results. Do not let a large skills list displace evidence of delivery and leadership.

How to write an AWS DevOps CV

Use a reverse-chronological CV, usually contained within two pages. A third page may suit someone with a long and directly relevant career, but each entry should still justify its space. Begin with your name and contact details, followed by a short personal statement, selected skills, employment history, education and useful extras.

SectionWhat earns its place
Personal statementYour experience level, technical context and one or two results you can defend
SkillsTools and methods you have used, chosen to match the vacancy
ExperienceRecent roles first, with concise evidence of action, scope and outcome
EducationQualifications, training and relevant project work in reverse-chronological order
ExtrasProjects, volunteering or publications that supply evidence missing elsewhere

Tailor the CV to each AWS DevOps Engineer application. Adopt wording from the job description only where it truthfully describes your experience. If the vacancy concentrates on security, operational controls or a particular delivery platform, give that evidence more space instead of stuffing the skills section with loosely related keywords.

Keep the personal statement to two or three sentences. State the infrastructure or delivery work you have handled, establish the scale and close with a defensible result. Avoid empty descriptions such as "passionate", "dynamic" and "results-driven".

Use the skills section as an index to evidence found elsewhere. Depending on the vacancy and your experience, this might include AWS CloudFormation, CI/CD pipelines, Amazon EC2, serverless and container-based applications, or deployments spanning several pipelines and environments. GitLab, Jenkins and GitHub also appear in UK AWS DevOps vacancies, so include them when they match both the advertised role and work you can discuss. This is a menu, not a compulsory checklist.

Experience entries should describe changes rather than copy routine duties. Give more education detail when paid experience is limited, particularly if a project, placement or apprenticeship demonstrates practical work. Experienced applicants can compress older study and devote the saved space to recent delivery evidence. Add an extra section only when it closes a genuine evidence gap; a repository or personal project is useful when it shows applied work that your employment history cannot.

Personal statement examples

Stronger example

AWS DevOps engineer with four years of experience managing cloud infrastructure and improving software delivery for customer-facing services. Built and maintained CI/CD pipelines across development and production environments, cutting median release time by 38% and reducing failed deployments by 21%. Works with development and operations colleagues to turn recurring release problems into documented automation.

Too generic

Hard-working AWS DevOps professional looking for a new challenge in a successful company. I know many cloud tools, work well alone or in a team and always give 100%. I am passionate about technology and would be a great addition to any organisation.

Writing your experience

AWS DevOps experience should read as a record of changes you made, not a pasted job description. Build each bullet around action + technical scope + measured result. Start with what you automated, built, configured, diagnosed, migrated or standardised. Add the workload, environment or team scope where it helps the reader understand the work. Finish with the effect on delivery, operations, cost or working time.

Work in this role commonly includes managing cloud infrastructure, implementing and managing CI/CD pipelines on AWS, monitoring system performance and automating deployments. It can also involve working with software engineers and operations teams to improve application development and deployment practices. These are useful areas of responsibility, but none is an achievement by itself. The bullet needs to show what changed because of your contribution.

BeforeAfter
Responsible for deployment pipelinesRebuilt three deployment pipelines across two environments, reducing median release time from 42 minutes to 26 minutes
Monitored cloud systemsRevised dashboards and alert thresholds for 18 workloads, cutting non-actionable alerts by 31% over three months
Worked with developers on releasesIntroduced automated validation and a release checklist with four engineering squads, reducing failed production deployments from 11 to 7 per quarter

The rewritten bullets identify the action, establish scale and report an outcome. They also avoid claiming sole ownership of shared work. If several people contributed, verbs such as "co-designed", "supported" and "worked with" can describe the arrangement, as long as the sentence still makes your part clear.

Useful measurements include deployment duration, failed changes, recovery time, infrastructure cost, manual effort and alert volume. Figures can show improvements such as faster deployments or lower cloud-service costs, but use only numbers you can defend. If no reliable outcome measure exists, quantify the scope instead: services supported, environments maintained, pipelines changed, teams assisted or releases handled.

Treat security and compliance work with the same care. "Improved security" says little on its own. Identify the control, review, remediation or process you worked on, describe its scope and report a result only when you have reliable evidence. If an exact figure is confidential, use a safe description of scale and explain the operational effect.

Choose verbs that fit the work. Automated, built, configured, consolidated, deployed, diagnosed, implemented, migrated, monitored, reduced, restored, standardised and validated are clearer than repeatedly writing "managed". Use present tense for continuing responsibilities and past tense for completed changes. Before retaining any metric, check that you can explain its baseline, measurement period, source and your contribution. A modest, defensible measure is better than an impressive percentage reconstructed from memory.

Key skills & ATS keywords

Hard skills

AWS CloudFormationCI/CD pipeline implementationCI/CD pipeline managementAmazon EC2Serverless application deploymentContainer-based application deploymentMulti-pipeline deliveryMulti-environment deploymentCloud infrastructure managementSystem performance monitoringDeployment automationGitLabJenkinsGitHub

Soft skills

Development and operations collaborationClear technical communicationAnalytical problem solvingOperational judgementAttention to deployment detailOwnership of delivery outcomesPrioritisation under pressureChange coordinationConstructive peer reviewDocumentation disciplineRisk awarenessProcess improvement

ATS keywords

AWS DevOpsAWS CloudFormationCI/CDcontinuous integrationcontinuous deliverypipeline implementationpipeline managementdeployment automationcloud infrastructure managementsystem performance monitoringAmazon EC2serverless applicationscontainer-based applicationsmulti-pipeline deploymentsmulti-environment deploymentsGitLabJenkinsGitHubdevelopment and operations collaboration

Education & certifications

List education and professional development in reverse-chronological order. Give the qualification or course name, institution or issuer and completion year. If you are early in your career, add a short note about a relevant project, placement or technical module. With more experience, keep older education compact and leave room for recent delivery evidence.

For a DevOps Engineer apprenticeship in the UK, individual employers set their selection criteria. Depending on the employer, these are likely to include A levels, a level 3 apprenticeship or another relevant qualification, relevant experience and/or an aptitude test. Read each vacancy closely and present the matching evidence. One employer's criteria should not be treated as a universal route into the occupation.

AWS Certified Developer – Associate is listed as an intermediate software engineering certification. AWS Certified DevOps Engineer – Professional is listed as an advanced software engineering certification. These descriptions do not make either credential a universal condition of AWS DevOps employment. If you hold one, record its exact name and give AWS as the issuer.

Relevant certifications, DevOps qualifications and training may be displayed prominently when they add useful evidence, but doing so is optional CV guidance. Keep every entry easy to verify and do not imply that training proves production experience. Show practical application in the experience or projects section, with your contribution and its outcome.

Describe unfinished study accurately and add an expected completion date only when you have one. If a vacancy asks for a role-specific qualification, repeat its wording only when your record genuinely matches it. Avoid abbreviations that might confuse one credential with another, and never present an unfinished course as completed.

Common mistakes to avoid

  • AvoidListing cloud tools without matching them to the advertised AWS DevOps role or showing where they were used.

    InsteadChoose skills that genuinely match the job description, then support the strongest matches with evidence from employment, placements or projects. A focused list with context is more convincing than a long inventory of technologies.

  • AvoidDescribing pipeline work as a routine duty, such as "responsible for CI/CD", without explaining the change delivered.

    InsteadState what you implemented or managed, the delivery scope and the result. Add figures such as deployment time, release frequency or failure reduction only when the underlying records support them.

  • AvoidMentioning AWS CloudFormation, Amazon EC2, serverless or container-based applications only in the skills section.

    InsteadShow where you used each relevant technology, which environment or application it supported and what your work changed. For multi-pipeline or multi-environment deployments, spell out the scale and your personal contribution.

  • AvoidSending the same AWS DevOps CV for every vacancy, regardless of the advertised work and terminology.

    InsteadTailor each application by reordering relevant evidence and using accurate job-description terms where they match your experience. Do not add a tool merely because it appears in the advert.

  • AvoidMaking vague claims about cloud costs, deployment speed or system performance.

    InsteadUse only figures you can defend. Give the starting point, your action and the measured result. Where no reliable metric exists, describe the verified outcome plainly instead of inventing a number.

  • AvoidFocusing on tooling while leaving out work with development and operations colleagues.

    InsteadAdd a concise example of how you worked across the two functions to improve an application development or deployment practice. Identify your contribution, the people involved and the resulting change without claiming the whole team's work as your own.

Frequently asked questions

From example to application

Turn this AWS DevOps example into a CV that sounds like you.

Keep the structure that works. Tailor the details around your experience, strengths, and the role you want.