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7 Infrastructure Python Developer CV Templates with Example

By Ria · Last Updated On 19 October 2026
CV example — page 1

This practical guide shows you how to create an Infrastructure Python Developer CV that puts your relevant evidence in clear view. Learn how to organise your experience and skills so recruiters can quickly see how you support infrastructure and database operations.

For this role, show how Python automation and FastAPI services support database tasks and dependable releases. Use specific evidence for Docker, Kubernetes resources, CI/CD checks, secure delivery and fault investigation, along with tools such as PostgreSQL, MongoDB Atlas and observability platforms where they match your experience.

Compare this example in 7 layouts using the PNG image previews, then open a preferred version in the editor to customise it. The guide also explains ATS readability, useful CV sections and how to choose clear keywords for this role.

What Makes a Great Infrastructure Python Developer CV in 2026

A strong CV makes Python development, API work and infrastructure delivery easy to scan. Use clear experience bullets to show how your work supports database operations, testing and reliable releases.

Include relevant terms such as FastAPI, Docker, Kubernetes, CI/CD, PostgreSQL, MongoDB Atlas and JIRA when they reflect your experience. Add measurable results only when you can support them.

Note: CV examples are for educational purposes only. Use only information that accurately reflects your experience and qualifications. References to real organisations do not imply affiliation or endorsement.

#1 Simple One Column Format CV Example

A simple one-column layout places CV content in a single reading sequence, giving reviewers a direct route through career history, skills and education.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Career entries can follow a clear sequence, making progression easier to trace.
  • Skills and education stay within the same straightforward reading path.
  • Reviewers can move from experience to credentials in one continuous sequence.

Best For

  • Single-column reading preference
  • Sequential career histories
  • Text-led CVs
  • CVs with several supporting sections
  • Straightforward section navigation

CV Keywords

  • Python development
  • FastAPI
  • API development
  • Kubernetes administration
  • Docker
  • CI/CD pipelines
  • software delivery
  • secure software development
  • debugging
  • Problem-solving
  • Analytical abilities
  • Agile
  • JIRA
  • administering Pods, Ingress, Services, Secrets and CRDs
  • Prometheus
See all keywords
 

#2 Simple Two Column Format CV Example

A simple two-column layout places CV information in parallel areas, helping reviewers compare career history with supporting details at a glance.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Separate content areas can distinguish experience from skills and education.
  • Parallel space gives supporting credentials room beside career details.
  • Reviewers can compare section groups without scanning one long vertical sequence.

Best For

  • Parallel information areas
  • Side-by-side section review
  • CVs with varied supporting sections
  • Career histories with credentials
  • Readers comparing grouped details

#3 Plain One Column with Shaded Labels CV Example

With one column, this plain CV format keeps each section in a shared top-to-bottom path, so reviewers can follow career history, skills and education without switching between areas.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Top-to-bottom ordering lets reviewers follow career progression in a familiar direction.
  • Skills and education can sit within the same continuous content sequence.
  • Section changes remain easy to follow across a single reading path.

Best For

  • Continuous top-to-bottom reading
  • Section-led career histories
  • Text-first CV presentation
  • CVs with detailed supporting content
  • Linear section review
 

#4 One Column Format with Photo Right CV Example

A one-column CV keeps the text in a clear reading path, while the photo on the right adds a distinct visual point of identification.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • One-column text keeps experience and supporting sections in a consistent reading order.
  • Career history remains readable without dividing entries across parallel areas.
  • Skills and education can be reviewed alongside the rest of the CV content.

Best For

  • Right-side portrait preference
  • Single-column text structure
  • Personal image alongside CV content
  • CVs with several content sections
  • One-path section reading
 

#5 Clean Two Column Sidebar Format CV Example

The clean two-column layout gives CV content two parallel areas, offering a clear way to distinguish career history from skills, education and other supporting details.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Two content areas can separate career history from supporting sections for navigation.
  • Skills and credentials have room apart from experience details.
  • Reviewers can follow each section group while keeping the career sequence in view.

Best For

  • Parallel section grouping
  • Multi-section CVs
  • Separate content-area preference
  • Career histories with supporting details
  • Grouped skills and credentials
 
 

#6 Two Column Format CV Example

Two columns give this CV a parallel reading structure, placing career details and supporting information in distinct areas for a clear overview.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Parallel columns give experience and supporting information distinct places on the page.
  • Career entries are easier to scan apart from supporting sections.
  • Skills and education can be found without reading every experience detail first.

Best For

  • Parallel reading structure
  • CVs with multiple section groups
  • Separate experience and skills
  • Quick section lookup
  • Side-by-side information review
 

#7 Photo Header Two Column Format CV Example

A photo in the header gives this two-column CV a clear visual identity, while its parallel content areas separate career details from supporting sections.

 
CV example — page 1   CV example — page 2

Why This Format Works

  • Two-column body areas keep experience and supporting sections visibly distinct.
  • The header photo adds identification without interrupting the section reading order.
  • Reviewers can move between career details and credentials across clear content areas.

Best For

  • Header photo preference
  • Two-column content organisation
  • CVs with separate section groups
  • Career history beside credentials
  • Visual identity with structured content
 
 
 

Why Build Your Infrastructure Python Developer CV with ResumeInMinutes

ResumeInMinutes helps you arrange technical skills, experience and education in a clear CV. Compare PNG image previews, then open an example in the editor to customise its content and layout.

  • Clear CV layouts
  • Easy-to-scan sections
  • Space for role-specific keywords
  • Organised skills and experience
  • PNG image previews
  • CV customisation in the editor

Choose a format that makes your Python services, database automation and release work easy to follow. Keep your strongest technical evidence and results near the top.

 

See Also

 

Frequently Asked Questions

Are these Infrastructure Python Developer CV templates ATS-friendly?

The examples use clear headings and sections to make key details easier to scan. Add relevant terms naturally, such as Python, FastAPI, Kubernetes administration, CI/CD, database automation and debugging.

Are these separate CV examples or different layouts of one example?

This page presents one role-focused CV example in different layouts. Compare the PNG image previews, then open a version in the editor to customise it.

What should an Infrastructure Python Developer CV include?

Include a focused profile, relevant experience, technical skills, education and certifications. Show evidence of Python automation, API development, database operations, container platforms, testing and software delivery.

Which CV layout works well for this role?

Choose a layout with clear headings and an easy-to-follow order for skills, experience and education. A simple structure helps recruiters and applicant tracking systems find important details.

How can I show infrastructure development results on my CV?

Write concise bullet points that explain the task, your contribution and the result. Where you have reliable figures, use them to show improvements to database workflows, release checks or fault investigation.

Should I include a photo on my CV?

A photo is not usually needed for UK applications. Use the space for relevant experience, technical skills and results instead.

ATS Score 95%

How we calculate this score

  • Keywords: 60% of the total. AI extracts keywords from your job description. If you do not provide one, a standard job description for the title matching your CV is used. This is not a match to a specific vacancy.
  • Text-based CV: 20%. The text CV assessed here receives 100 for this part.
  • CV quality: 20%. We start at 100 and subtract points for issues found by our CV checks, down to a minimum of zero.
  • Keyword coverage = round(100 × confirmed matches ÷ total keywords). Exact matches and supported equivalents verified by AI receive full credit; unsupported keywords receive none. Live text checks use the saved equivalents and do not request a new AI review. Without keywords, no overall ATS score is available.
  • Final score = 60% of keyword coverage + 20% of the text score + 20% of the quality score, rounded to a whole number. Without keywords, no overall ATS score is available.

What this score means

Our scores are estimates, not employer ratings. They may contain errors and do not guarantee accurate parsing, a ranking, an interview, or a job. Check your document against the employer’s requirements. You are responsible for relying on this score.

Terms and Conditions

Score weights: Keywords 60% · Text based CV 20% · CV quality 20%

Keyword coverage: 20 of 22 (91%) · CV quality: 100%

CV quality 100% · Weight 20% · Issues (0)

Details
  • ✓Name present: Hamish Osei
  • ✓Email format: hamish.osei@example.com
  • ✓Phone format: 07700 90XXXX
  • ✓Experience 1: Job title: Infrastructure Python Developer
  • ✓Experience 1: Company name: Northstar Financial Technology
  • ✓Experience 1: Work location: Leeds, West Yorkshire
  • ✓Experience 1: Employment dates: Apr 2022 - Present
  • ✓Experience 1: Description or achievements: Present
  • ✓Experience 2: Job title: Python Developer
  • ✓Experience 2: Company name: Redfern Cloud Services
  • ✓Experience 2: Work location: Manchester, Greater Manchester
  • ✓Experience 2: Employment dates: Jan 2019 - Mar 2022
  • ✓Experience 2: Description or achievements: Present
  • ✓Experience 3: Job title: Junior Python Developer
  • ✓Experience 3: Company name: Calder Automation Group
  • ✓Experience 3: Work location: Nottingham, Nottinghamshire
  • ✓Experience 3: Employment dates: Jun 2017 - Dec 2018
  • ✓Experience 3: Description or achievements: Present
  • ✓Experience 4: Job title: Graduate Python Developer
  • ✓Experience 4: Company name: Moorland Systems
  • ✓Experience 4: Work location: Leicester, Leicestershire
  • ✓Experience 4: Employment dates: Jul 2016 - May 2017
  • ✓Experience 4: Description or achievements: Present
  • ✓No placeholder fields
  • ✓No repeated achievement bullets
  • ✓No empty bullets

No issues found by the current checks.

Text Based CV 100% · Weight 20%

Parsed text
Hamish Osei
07700 90XXXX
hamish.osei@example.com
hamishosei
Sheffield, South Yorkshire, S10 2TN
SUMMARY
Infrastructure Python Developer with 10 years of experience building Python automation and API services for database operations and software delivery in regulated enterprise environments. Develop FastAPI services for database provisioning, change validation and rollouts, then package and deploy them with Docker and Kubernetes. Administer Kubernetes resources and use CI/CD checks to support secure, traceable releases. Apply PostgreSQL administration, MongoDB Atlas and service observability to operational needs, and diagnose faults across APIs and containerised services. Coordinate delivery through Agile planning and JIRA, working with development, database and operations colleagues to keep deployment workflows dependable.
EXPERIENCE
Infrastructure Python Developer
Apr 2022 - Present
Northstar Financial Technology
Leeds, West Yorkshire
Developed Python and FastAPI services to automate database provisioning, change validation and rollout tasks across PostgreSQL estates, giving operations staff consistent API-driven workflows.
Packaged services with Docker and deployed them to Kubernetes, administering Pods, Ingress, Services, Secrets and CRDs to support controlled releases across regulated environments.
Extended CI/CD pipelines with build, package, test and deployment checks, adding secure software development controls and traceable release evidence for change reviews.
Instrumented service health with Prometheus, Grafana and OpenTelemetry, connecting metrics and traces to operational dashboards that shortened investigation of failed database workflows.
Applied HashiCorp Vault for secrets management and supported enterprise operations integrations involving Control-M, TrueSight, Guardium, Tenable Nessus and Delinea, improving visibility of scheduled jobs, database controls and security findings.
Diagnosed Python, API and container issues through log analysis and reproducible tests, recording investigations and delivery tasks in JIRA within Agile iterations.
Python Developer
Jan 2019 - Mar 2022
Redfern Cloud Services
Manchester, Greater Manchester
Built Python automation and FastAPI endpoints for repeatable database maintenance and deployment requests, replacing error-prone manual hand-offs with validated service workflows.
Supported PostgreSQL database administration and MongoDB Atlas operations by scripting routine checks, documenting recovery steps and standardising release preparation for development teams.
Containerised internal services with Docker and introduced Kubernetes deployment patterns, resolving configuration and service-discovery faults during staged releases.
Improved CI/CD delivery by adding automated tests and package checks, helping teams identify defects before deployment and maintain consistent release records.
Worked with developers and database specialists in Agile planning, using JIRA to track dependencies, debug production issues and prioritise fixes.
Junior Python Developer
Jun 2017 - Dec 2018
Calder Automation Group
Nottingham, Nottinghamshire
Created Python scripts to validate database deployment inputs and automate repeatable operational checks, reducing avoidable rework during scheduled releases.
Built and maintained API integrations between internal operations tools and database services, documenting error handling so support colleagues could resolve common failures.
Used Docker to reproduce test environments and investigate differences between development and release configurations.
Added unit tests and deployment notes to the delivery process, strengthening handover quality for application and operations teams.
Graduate Python Developer
Jul 2016 - May 2017
Moorland Systems
Leicester, Leicestershire
Wrote Python utilities for data checks and routine database support, producing clear exception reports that helped senior developers locate faulty inputs.
Investigated script and API defects using structured debugging, then recorded fixes and test outcomes for review by the development team.
Prepared release documentation and supported software testing, building a foundation in secure coding practices and controlled delivery.
LEADERSHIP, AWARDS & RECOGNITION
Recognised by the Northstar Financial Technology platform team in 2024 for clear incident documentation and dependable support during a database rollout.
Mentored two junior developers on Python testing practices, API debugging and Kubernetes release preparation.
EDUCATION
BSc Software Engineering
2014
University of Hull
Hull, UK
CERTIFICATIONS
Certified Kubernetes Application Developer (CKAD)
2022
Python Automated Testing Course
2021
TECHNICAL SKILLS
Programming Languages: Python, SQL, Bash
Python Frameworks: FastAPI, Flask, Django
API Technologies: OpenAPI, Swagger UI, Uvicorn
Container Platforms: Docker, Kubernetes, containerd
Kubernetes Resources: Pods, Ingress, CustomResourceDefinitions
CI/CD Platforms: Jenkins, GitLab CI, GitHub Actions
Observability Tools: Prometheus, Grafana, OpenTelemetry
Relational Databases: PostgreSQL, MySQL, SQLite
Document Databases: MongoDB, MongoDB Atlas, Redis
Security Tools: HashiCorp Vault, Tenable Nessus, Delinea
Enterprise Operations: Control-M, TrueSight, Guardium
SKILLS
Python development
FastAPI
API development
Database automation
Kubernetes administration
Docker
CI/CD pipelines
Software delivery
Secure software development
Debugging
Problem-solving
Analytical abilities
Agile
JIRA
PostgreSQL administration
PROFESSIONAL AFFILIATIONS
Member of the British Computer Society (BCS), maintaining professional engagement with the UK computing community.
Member of the Association for Computing Machinery (ACM), engaging with the international computing profession.
LANGUAGES
English (Native)
French (Beginner)

Matched keywords (20)

  • Python development
  • FastAPI
  • API development
  • Kubernetes administration
  • Docker
  • CI/CD pipelines
  • software delivery
  • secure software development
  • debugging
  • Problem-solving
  • Analytical abilities
  • Agile
  • JIRA
  • administering Pods, Ingress, Services, Secrets and CRDsOriginal keyword in JD: Kubernetes resources: Pods, Ingress, Services, Secrets and CRDs
  • Prometheus
  • Grafana
  • OpenTelemetry
  • MongoDB AtlasOriginal keyword in JD: PostgreSQL Database Administration OR MongoDB Atlas
  • HashiCorp Vault
  • Control-MOriginal keyword in JD: Control-M OR TrueSight OR Guardium OR Tenable Nessus OR Delinea

Missing keywords (2)

  • Database operations automation and rollouts
  • Highly regulated environments
Disclaimer: All names, images, contact information, employment histories, achievements, security clearances, military credentials, and other qualifications shown in this content are fictional and used for illustrative purposes only. Any resemblance to actual persons, living or deceased, is purely coincidental.

CV and cover letter examples and recommendations in this article reflect general best practices and professional experience and are provided for guidance only. Results may vary based on role, industry, region, and hiring organisation.

Content Accuracy and Verification: To the fullest extent permitted by applicable law, we do not represent or warrant that CV or cover letter guidance, examples, recommendations, or related information are accurate, complete, current, error-free, or suitable for any particular purpose. You are responsible for independently reviewing and verifying the information before relying on it.

ATS and Cover Letter Scores: ATS scores are estimates calculated using our own formula, informed by publicly available guidance on CV formatting and keyword matching. They are not scores issued or endorsed by an ATS provider or employer. Cover letter scores are also our own assessments. Parsing, weighting, screening criteria, and results vary between systems, employers, job descriptions, and document formats. No score guarantees successful parsing, a particular ranking, an interview, or employment. Use scores as general guidance and independently check your documents against the employer’s requirements. To the fullest extent permitted by applicable law, we accept no liability for errors in scores or parsing, or losses arising from reliance on these assessments. Nothing in this notice excludes liability or limits consumer rights that cannot lawfully be excluded or limited.

Terms and Conditions
 
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