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Python Automation Testing Jobs in Florida (NOW HIRING)

Engineer

Tampa, FL · On-site

$90K - $100K/yr

... Python and Terraform for testing, automation and custom tool development. • Proficiency with: o API integrations and backend development o Writing scalable, maintainable code • Hands-on ...

QUALITY ASSURANCE ANALYST

Tampa, FL · On-site

$45K - $121K/yr

Location: Tampa, Florida * 5-8 years of experience in Selenium Automation Testing * Strong hands-on experience in Automation using Python / PySpark * Good to have exposure to Java with Selenium

Automation Engineer

Pensacola, FL · On-site

$86K - $198K/yr

... testing, monitoring, and pushing releases across environments * Ability to travel CONUS or OCONUS ... Experience with network automation in Python and Ansible * Knowledge of networking principles and ...

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Python Automation Testing information

See Florida salary details

$8

$38

$56

How much do python automation testing jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for python automation testing in Florida is $38.32, according to ZipRecruiter salary data. Most workers in this role earn between $33.08 and $43.65 per hour, depending on experience, location, and employer.

What is Python automation testing?

Python Automation Testing refers to the process of using Python programming language to write scripts that automatically test software applications. These scripts can validate functionality, performance, and reliability of software, reducing the need for manual testing and speeding up the development cycle. Python is popular for automation testing because of its readability, extensive libraries like Selenium and PyTest, and strong community support. Automation tests can be integrated into continuous integration pipelines to ensure consistent quality across software releases.

What are the key skills and qualifications needed for Python automation testing?

To thrive as a Python Automation Testing professional, you need strong proficiency in Python programming, knowledge of software testing methodologies, and experience with test automation frameworks, often supported by a degree in computer science or a related field. Familiarity with tools such as Selenium, PyTest, Jenkins, and version control systems like Git is typically required, along with certifications like ISTQB being advantageous. Analytical thinking, attention to detail, and effective communication skills help testers identify issues, collaborate with teams, and document findings clearly. These competencies ensure the creation of reliable, maintainable automated tests that improve software quality and streamline development cycles.

What are common challenges in Python automation testing, and how can they be addressed?

One common challenge in Python Automation Testing is maintaining test scripts as applications evolve, which can lead to flaky tests or outdated scripts. To address this, it's important to implement modular and reusable code, and regularly review and refactor test cases. Collaborating closely with developers and participating in code reviews can also help testers anticipate changes and adapt their tests proactively. Additionally, integrating robust reporting and logging mechanisms helps quickly identify and resolve issues, ensuring the reliability of the automated test suite.

What is the difference between Python Automation Testing vs Manual Software Testing?

AspectPython Automation TestingManual Software Testing
Required SkillsPython programming, automation tools, scriptingTest case execution, attention to detail, communication
Work EnvironmentAutomated testing frameworks, scripting environmentsTest labs, user environments, manual execution
Industry UsageSoftware development, QA teams, continuous integrationInitial testing phases, exploratory testing, user acceptance

Python Automation Testing involves writing scripts to automate test cases, increasing efficiency and repeatability. Manual Software Testing requires testers to execute test cases manually, focusing on exploratory and usability aspects. Both roles are essential in software quality assurance, but Python Automation Testing emphasizes automation skills, while manual testing emphasizes detailed test execution and observation.

What job categories do people searching Python Automation Testing jobs in Florida look for?

The top searched job categories for Python Automation Testing jobs in Florida are:

What cities in Florida are hiring for Python Automation Testing jobs?

Cities in Florida with the most Python Automation Testing job openings:

Infographic showing various Python Automation Testing job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $79,703 per year, or $38.3 per hour.

ISO20022 Payments Software Engineer III - Automation Tester

JPMorgan Chase & Co.

Tampa, FL • On-site

$100 - $150/hr

Other

Posted 17 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 496 frontline employees who took The Breakroom Quiz

71st of 171 rated banks


Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the Commercial & Investment Bank, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities
  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Documentation and execution of test scenarios - identify specific scenarios and write test scripts using Business Driven Development for example Gherkin
  • Partner closely with Operations, Product and Technology groups
  • Taking responsibility for the monitoring and reporting of Testing defects and the re-testing process
  • Deputizing for the Test Manager as necessary in Project calls and communications with relevant colleagues
  • Validation and presentation of Test Results for internal Sign-off
  • Ability to work with the minimum supervision on day-to-day activities
  • Strong organizational skills - ability to dynamically manage and oversee critical testing tasks accurately and to tight deadlines
Preferred qualifications, capabilities, and skills
  • Experience in the Banking or Financial Services sectors with working knowledge of Payments Message Processing/Validation with formats like ISO20022 pacs.008, pacs.009, pacs.004, pain.001, camt.056
  • Experience with (Selenium, Python, Java, BDD Cucumber and Data Engineering) Methodologies
  • Good knowledge of JIRA, SharePoint, Confluence
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