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Python Automation Testing Jobs in Houston, TX (NOW HIRING)

Lead Software Engineer - Python

Houston, TX · On-site

$133K - $164K/yr

... Python, React, Django, Ansible, Terraform and other related engineering tools * Execute creative ... testing, code quality, version control, and production support * Experience building automation ...

Python Developer

Houston, TX · On-site

$90 - $120/hr

By leveraging its core competencies, particularly in drilling, engineering, automation, data ... Lab testing of all software with the rig simulator * Provide technical support to field technicians ...

Python Developer

Houston, TX · On-site

$48 - $66.25/hr

Python Developer Location: Houston , TX Roles and Responsibilities: * Must be able to work ... Excellent analytical, problem-solving, coding, testing, and automation skill * Object-orientated ...

Python Developer III

Houston, TX · On-site

$48 - $66.25/hr

Job expectations include a strong knowledge of development and testing practices common to the ... The role involves developing Python-based applications, automation frameworks, APIs, data ...

Python Developer III

Houston, TX · On-site

$48 - $66/hr

Job expectations include a strong knowledge of development and testing practices common to the ... The role involves developing Python-based applications, automation frameworks, APIs, data ...

Develop robust Python-based automation frameworks following strict linting, formatting, and type‑checking standards * Implement testing around event-driven and messaging systems , including MQTT ...

... testing frameworks for complex business systems. * Proficiency in one or more programming languages commonly used in test automation, such as C#, Java, Python, JavaScript, or TypeScript. * Experience ...

Python Developer III

Houston, TX · On-site

$90 - $140/hr

Job expectations include a strong knowledge of development and testing practices common to the ... Automation * Influence * Solution Design * Technical Strategy Development * Architecture * Business ...

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Python Automation Testing information

See Houston, TX salary details

$10

$48

$72

How much do python automation testing jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for python automation testing in Houston, TX is $48.97, according to ZipRecruiter salary data. Most workers in this role earn between $42.26 and $55.77 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 are popular job titles related to Python Automation Testing jobs in Houston, TX?

For Python Automation Testing jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Python Automation Testing jobs in Houston, TX look for?

The top searched job categories for Python Automation Testing jobs in Houston, TX are:

What cities near Houston, TX are hiring for Python Automation Testing jobs?

Cities near Houston, TX with the most Python Automation Testing job openings:

Infographic showing various Python Automation Testing job openings in Houston, TX 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 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $101,853 per year, or $49 per hour.

Lead Software Engineer - Python

JPMorgan Chase & Co.

Houston, TX • On-site

$133K - $164K/yr

Full-time

Medical, Retirement

Re-posted 10 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks


Job description


We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorganChase within Infrastructure Platforms - Core Foundational Platforms / Databases, you will be an integral part of a global agile engineering team responsible for designing, building, and delivering secure, stable, scalable, and highly automated database platform capabilities across the firm. The Cloud Relational Database Team develops automation, self-service capabilities, and engineering solutions that support database provisioning, build, deployment, lifecycle management, and operational efficiency for enterprise database platforms.
In this role, you will contribute to and lead engineering efforts for database automation and platform services You will work closely with product owners, database engineering teams, infrastructure teams, application development teams, and site reliability teams to deliver modern, resilient, and developer-friendly database services.
You will be expected to bring strong software engineering practices, automation-first thinking, and technical leadership to solve complex infrastructure and database platform challenges at enterprise scale.
Job responsibilities
  • Design, develop, test, deploy, and maintain high-quality software solutions that automate database build with deployment, provisioning, configuration, lifecycle management, and operational workflows
  • Build and enhance self-service capabilities for database platforms used across the firm to enable faster delivery, improve developer experience, and reduce operational toil
  • Develop secure, reliable, and scalable backend services, APIs, automation frameworks, user interfaces, and orchestration workflows using technologies such as Python, React, Django, Ansible, Terraform and other related engineering tools
  • Execute creative software solutions in designing, developing and technical troubleshooting, thinking beyond routine or conventional approaches to solve complex technical problems
  • Produce secure, high-quality code, perform code reviews, debug complex issues, and provide technical guidance to other engineers
  • Identify opportunities to eliminate manual processes and automate remediation of recurring issues to improve the operational stability, resiliency, and efficiency of database platforms and supporting applications
  • Partner with database engineering, cloud, infrastructure, cybersecurity, and application teams to deliver solutions that align with firmwide architecture, resiliency, control, and security standards
  • Contribute to the modernization of database build and deployment capabilities, including cloud-enabled patterns, infrastructure-as-code, continuous delivery, and self-service operating models
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident and root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
  • 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
  • Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience in system design, application development, testing, deployment, and operational stability
  • Advanced hands-on programming experience in one or more programming languages(s) and framework(s) (i.e., Python, Automation, Rest API, Platform tooling, etc.)
  • Strong understanding of software engineering principles, including object oriented design, API development, automated testing, code quality, version control, and production support
  • Experience building automation solutions, platform services, backend applications, workflow orchestration, or infrastructure engineering tools
  • Proficiency in automation and continuous delivery practices, including CI/CD pipelines, release autmation, deployment tools in Jenkins and Spinnaker, release management, and environment promotion
  • Drives team adoption of enterprise authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, with enterprise authorized AI-assisted development and automation capabilities, to improve the value realized by automation
  • Proficiency across the Software Development Life Cycle, including requirements analysis, design, development, testing, deployment, monitoring, and support
  • Strong analytical, troubleshooting, and problem-solving skills, with the ability to break down complex technical issues and drive them to resolution
  • Excellent verbal and written communication skills, with the ability to communicate technical concepts clearly to engineering teams, stakeholders, and leadership
  • Ability to work effectively in a global team environment, collaborate across functions, and provide technical leadership to other engineers

Preferred qualifications, capabilities, and skills
  • Knowledge of relational database management systems, RDBMS technologies such as Oracle, PostgreSQL and MySQL
  • Experience with modern front-end technologies, especially React, JavaScript, TypeScript, HTML, and CSS
  • Hands-on experience with automation and infrastructure-as-code tools such as Ansible and Terraform
  • Experience with asynchronous job processing, workflow orchestration, or distributed task execution using tools such as Celery
  • Knowledge/exposure to AWS cloud services, cloud-native design patterns, and infrastructure-as-code practices
  • Experience working in Linux-based environments, including shell scripting, troubleshooting, and system-level diagnostics
  • Experience using modern developer tools such as IntelliJ, VS Code, Git, and GitHub Copilot

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

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