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7 Senior Python Developer CV Templates with Example

By Ria · Last Updated On 19 October 2026
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This guide shows you how to create a clear, focused CV for a Senior Python Developer role. It explains how to present your technical evidence and choose a format that helps readers review your experience.

Strong evidence can show how you build reliable Python applications, improve MySQL queries and data models, and deliver tested APIs and reporting workflows. Use concise achievement bullets to explain your contribution to service changes, data quality and team delivery.

Explore the example presented in 7 layouts, compare the PNG image previews, and open a preferred example in the editor to customise it. The guidance also covers ATS readability, useful CV sections and role-specific terms such as SQLAlchemy, Pandas, FastAPI, PyMuPDF, GCP and Terraform.

What Makes a Great Senior Python Developer CV in 2026

A strong CV makes technical work and delivery outcomes easy to scan. Show how your Python, database, API and reporting work supported reliable services.

Use specific bullets and relevant terms, including SQLAlchemy query patterns, Pandas transformations, FastAPI migration, automated testing and measurable results where 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

The Simple One Column Format keeps CV content in one reading path, making the section order easy to follow.

 
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Why This Format Works

  • One reading path lets reviewers follow career progression in a clear sequence.
  • Consistent section order keeps experience, education and credentials easy to locate.
  • A direct vertical layout avoids competing columns around detailed role histories.

Best For

  • Chronological career histories
  • CVs with several experience entries
  • Straightforward section-by-section review
  • Text-led professional profiles
  • Applications prioritising clear reading order

CV Keywords

  • Python
  • Reworked MySQL query design and relational data models for reporting workloads
  • relational data modelling
  • SQLAlchemy ORM and toolkit
  • Used SQLAlchemy to refine relational data models and compose complex queries
  • Built Pandas transformations for multi-source compliance and operational reports
  • Designed and implemented FastAPI endpoints during a service modernisation
  • Designed and implemented FastAPI endpoints during a service modernisation, documenting migration behaviour and testing request and response compatibility.
  • automated testing
  • Enhanced PDF client reports with PyMuPDF
  • Compliance reporting
  • operational reporting
  • Git
  • Jira
  • shaping Python enhancements with product and compliance colleagues and coordinating implementation with a mid-level developer
See all keywords
 

#2 Simple Two Column Format CV Example

The Simple Two Column Format sets CV content in two columns, giving readers a side-by-side view of its sections.

 
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Why This Format Works

  • Two content columns let reviewers move between career details and supporting sections.
  • Separate areas give skills and education distinct places in the overall structure.
  • Side-by-side reading helps reviewers compare career stages with related achievements.

Best For

  • CVs balancing career history and supporting details
  • Readers comparing experience with qualifications
  • Applications with varied section content
  • Side-by-side information review
  • CVs needing a two-column structure

#3 Plain One Column with Shaded Labels CV Example

The Plain One Column with Shaded Labels format uses one content column, keeping the CV on a single reading path.

 
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Why This Format Works

  • A single content column lets reviewers follow career history without switching between areas.
  • The shared reading path makes education and credentials easy to find after experience.
  • Reviewers can read achievement bullets in sequence within each role.

Best For

  • CVs with a clear career timeline
  • Sequential review of role details
  • Professional histories with several roles
  • Applications with education and credentials
  • Readers who prefer one reading path
 

#4 One Column Format with Photo Right CV Example

The One Column Format with Photo Right pairs a photo with a single-column CV body for a personal visual touch and direct reading path.

 
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Why This Format Works

  • The photo adds a personal visual element while experience stays in one reading path.
  • A single content column lets reviewers follow career progression without crossing between areas.
  • Role-by-role reading keeps experience details together as reviewers move through the CV.

Best For

  • CVs that include a personal photo
  • One-column reading preference
  • Career histories reviewed role by role
  • Text-led experience with a visual element
  • Applications needing a direct reading path
 

#5 Clean Two Column Sidebar Format CV Example

The Clean Two Column Sidebar Format uses two content columns to place CV sections side by side.

 
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Why This Format Works

  • Two columns distinguish career information from supporting sections for easier navigation.
  • Separate content areas help reviewers locate skills, education and credentials.
  • The side-by-side structure gives experience and other CV details distinct reading areas.

Best For

  • CVs with substantial supporting information
  • Readers locating qualifications alongside experience
  • Applications with several content sections
  • Side-by-side section navigation
  • Professional histories with varied detail
 
 

#6 Two Column Format CV Example

The Two Column Format presents CV content in two columns, offering a side-by-side structure for its sections.

 
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Why This Format Works

  • Two columns help reviewers move between work history and supporting CV information.
  • Distinct content areas make education and achievements easier to locate during review.
  • A parallel layout lets readers compare career stages without losing the section structure.

Best For

  • CVs combining work history and supporting information
  • Readers comparing achievements across career stages
  • Applications with several CV sections
  • Parallel review of career details
  • Professional histories with varied evidence
 

#7 Photo Header Two Column Format CV Example

The Photo Header Two Column Format combines a photo with two content columns, pairing a personal visual element with a side-by-side layout.

 
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Why This Format Works

  • The photo adds a personal visual feature while the two columns organise CV content.
  • Separate reading areas help reviewers distinguish career history from supporting sections.
  • A side-by-side structure gives achievements and qualifications clear places within the CV.

Best For

  • CVs using a personal photo and two columns
  • Readers reviewing career and supporting details together
  • Applications with achievements and qualifications
  • Side-by-side section organisation
  • Professional profiles with a visual element
 
 
 

Why Build Your Senior Python Developer CV with ResumeInMinutes

ResumeInMinutes helps you organise your Python experience, skills and qualifications in a clear CV. Compare PNG image previews, then open an example in the editor to customise its content and layout.

  • Professional CV layouts
  • Clear, readable section structure
  • Space for role-specific keywords
  • Well-organised skills and experience
  • PNG image previews
  • CV customisation in the editor

Choose a format that makes your technical evidence easy to follow. Keep the focus on Python development, reliable data access, API work and reporting outcomes.

 

See Also

 

Frequently Asked Questions

Are these Senior Python Developer CV templates ATS-friendly?

The examples use clear headings and sections that are easy to scan. Include relevant terms naturally, such as Python, MySQL query optimisation, SQLAlchemy, Pandas, FastAPI, automated testing, Git and Jira.

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

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

What should a Senior Python Developer CV include?

Include a focused summary, relevant experience, technical skills, education and certifications. Give clear examples of Python development, SQLAlchemy data modelling, Pandas reporting, FastAPI services, testing and delivery.

Which CV layout works well for this role?

Choose a format with clear headings and a simple order for your summary, skills and experience. This helps recruiters find your technical strengths and makes the CV easier for applicant tracking systems to scan.

How can I show Python development achievements on my CV?

Use concise bullet points to explain the task, your contribution and the result. Where you have evidence, add figures for improvements such as faster report generation, more reliable data access or reduced errors.

Should I include a photo on my CV?

For UK applications, a photo is usually not needed. Use the space for relevant experience, skills and measurable results instead.

ATS score and CV checks

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ATS Score 100%

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: 19 of 19 (100%) · 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: Senior Python Developer
  • ✓Experience 1: Company name: Cobalt Quay Technologies
  • ✓Experience 1: Work location: Cardiff, Wales
  • ✓Experience 1: Employment dates: Apr 2023 - Present
  • ✓Experience 1: Description or achievements: Present
  • ✓Experience 2: Job title: Python Developer
  • ✓Experience 2: Company name: Meridian Ledger Software
  • ✓Experience 2: Work location: Newport, Wales
  • ✓Experience 2: Employment dates: Jun 2020 - Mar 2023
  • ✓Experience 2: Description or achievements: Present
  • ✓Experience 3: Job title: Python Software Developer
  • ✓Experience 3: Company name: Harbourlight Data Systems
  • ✓Experience 3: Work location: Swansea, Wales
  • ✓Experience 3: Employment dates: Jan 2018 - May 2020
  • ✓Experience 3: Description or achievements: Present
  • ✓Experience 4: Job title: Junior Python Developer
  • ✓Experience 4: Company name: Westmoor Digital Services
  • ✓Experience 4: Work location: Cardiff, Wales
  • ✓Experience 4: Employment dates: Sep 2016 - Dec 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
Cardiff, CF10 1AA
SUMMARY
Senior Python Developer with 10 years of experience building reporting, data and API capabilities for financial services and business software teams. Deliver production Python applications backed by MySQL, using SQLAlchemy for relational data modelling and complex queries, and Pandas for data transformation and reporting. Recent contributions include modernising FastAPI services, improving client facing PDF reports with PyMuPDF, and strengthening compliance and operational reporting. Apply automated testing and code review to deliver maintainable software, with practical experience in Google Cloud Platform, Terraform, Git and Jira. Coordinate delivery with engineering colleagues and support developing programmers through design discussions and reviews, with a focus on reliable data access, API migration and reporting that meets operational needs.
EXPERIENCE
Senior Python Developer
Apr 2023 - Present
Cobalt Quay Technologies
Cardiff, Wales
Led delivery of client reporting and operational tooling for a financial services platform, shaping Python enhancements with product and compliance colleagues and coordinating implementation with a mid-level developer.
Reworked MySQL query design and relational data models for reporting workloads, using SQLAlchemy ORM and toolkit features to handle complex query patterns and improve data access reliability.
Built Pandas transformations for multi-source compliance and operational reports, adding validation checks that made exceptions easier for analysts to trace before publication.
Extended FastAPI services and planned a staged API migration, documenting compatibility requirements and adding automated tests to protect existing client integrations.
Enhanced PDF client reports with PyMuPDF, improving extraction and assembly of report content while retaining consistent layouts for downstream review.
Provisioned GCP environments with Terraform and maintained delivery history through Git workflows and Jira, making deployment changes and feature progress easier to review.
Python Developer
Jun 2020 - Mar 2023
Meridian Ledger Software
Newport, Wales
Delivered Python reporting features for a cloud-based accounting product, converting customer and operations requirements into tested changes across MySQL data and application services.
Used SQLAlchemy to refine relational data models and compose complex queries, investigating slow report generation and applying targeted query optimisation.
Developed Pandas workflows to reconcile transaction data and prepare compliance extracts, with clear validation and exception handling for operations teams.
Designed and implemented FastAPI endpoints during a service modernisation, documenting migration behaviour and testing request and response compatibility.
Used Jira to organise sprint work and Git for branching, code review and release tracking, reducing ambiguity across concurrent reporting and API changes.
Python Software Developer
Jan 2018 - May 2020
Harbourlight Data Systems
Swansea, Wales
Built and maintained Python data services for customer account reporting, combining MySQL records with SQLAlchemy models to support accurate and repeatable report generation.
Introduced FastAPI endpoints for a new internal reporting service in 2019, adding request validation and automated tests as the team moved selected workflows from a legacy interface.
Applied Pandas to clean, join and transform operational datasets, documenting assumptions so analysts could verify report outputs and investigate unusual records.
Improved Git-based review practices and recorded defects and delivery tasks in Jira, helping the small engineering group release changes with clearer test evidence.
Junior Python Developer
Sep 2016 - Dec 2017
Westmoor Digital Services
Cardiff, Wales
Developed Python features for internal business reporting, learning the team's release and review practices while delivering clearly scoped changes for senior engineers.
Wrote MySQL queries and supported relational data modelling for customer and service records, using SQLAlchemy to connect application logic with structured data.
Prepared recurring data extracts with Pandas and added unit tests around key transformations, giving operations staff more dependable figures for routine checks.
Tracked defects and implementation notes in Jira and submitted code through Git, building a consistent foundation in maintainable development and team delivery.
LEADERSHIP, AWARDS & RECOGNITION
Recognised by the Cobalt Quay engineering group in 2025 for clear technical reviews and practical support to developing colleagues.
Mentored two early-career developers through code reviews and focused sessions on Python testing, SQLAlchemy query patterns and Git practices.
EDUCATION
BSc (Hons) Computing
2013
Cardiff Metropolitan University
Cardiff, Wales
CERTIFICATIONS
Google Cloud Associate Cloud Engineer
2024
HashiCorp Certified: Terraform Associate
2025
TECHNICAL SKILLS
Programming Languages: Python, SQL, Bash
Relational Databases: MySQL, PostgreSQL, SQLite
Python Data Libraries: Pandas, NumPy, SciPy
Python Web Frameworks: FastAPI, Flask, Django
ORM and Database Tools: SQLAlchemy, Alembic, PyMySQL
PDF and Document Tools: PyMuPDF, ReportLab, pypdf
Cloud Platforms: Google Cloud Platform, Google Cloud Storage, Google Compute Engine
Infrastructure as Code: Terraform, Google Cloud Deployment Manager, Ansible
Testing Tools: pytest, unittest, coverage.py
Version Control: Git, GitHub, GitLab
API Standards and Formats: OpenAPI, JSON, OAuth 2.0
Development and Tracking Platforms: Jira, Confluence, Docker
SKILLS
Python development
MySQL optimisation
Relational modelling
SQLAlchemy ORM
Complex query patterns
Pandas reporting
FastAPI development
API modernisation
Automated testing
PDF reporting
Compliance reporting
Operational reporting
Git workflows
Jira delivery tracking
Developer mentoring
PROFESSIONAL AFFILIATIONS
Member of the Python Software Foundation, engaging with the professional Python community and its development resources.
Member of the Association for Computing Machinery, maintaining professional engagement with computing research and practice.

Matched keywords (19)

  • Python
  • Reworked MySQL query design and relational data models for reporting workloadsOriginal keyword in JD: MySQL query design and optimisation
  • relational data modelling
  • SQLAlchemy ORM and toolkit
  • Used SQLAlchemy to refine relational data models and compose complex queriesOriginal keyword in JD: Complex SQLAlchemy query patterns
  • Built Pandas transformations for multi-source compliance and operational reportsOriginal keyword in JD: Pandas data transformation and reporting
  • Designed and implemented FastAPI endpoints during a service modernisationOriginal keyword in JD: FastAPI API design and development
  • Designed and implemented FastAPI endpoints during a service modernisation, documenting migration behaviour and testing request and response compatibility.Original keyword in JD: API migration and modernisation
  • automated testing
  • Enhanced PDF client reports with PyMuPDFOriginal keyword in JD: Client-facing PDF reporting
  • Compliance reporting
  • operational reporting
  • Git
  • Jira
  • shaping Python enhancements with product and compliance colleagues and coordinating implementation with a mid-level developerOriginal keyword in JD: Engineering team collaboration
  • Developer mentoring
  • PyMuPDF
  • Google Cloud PlatformOriginal keyword in JD: Google Cloud Platform (GCP)
  • Terraform

Missing keywords (0)

No missing keywords.

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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