1

Python Automation Testing Jobs in Texas (NOW HIRING)

Sr. Automation Engineer - DWH

Frisco, TX · On-site

$98K - $128K/yr

... testing • Deep hands-on expertise in Python • API automation • Modern data engineering testing practices • Building automation utilities using PyTest, Postman/Newman, or similar frameworks ...

Texas - Local Candidates Only / Fully Onsite Please share resumes to * 6+ years of experience in QA Automation / Software Testing . * Strong hands-on experience with Selenium, Java/Python, TestNG ...

New

Pytest QA Tester

Dallas, TX · On-site

$40.75 - $55.75/hr

JD: We are looking for an experienced QA Automation Engineer with strong hands-on experience in Python, Pytest, and API automation testing. The candidate will be responsible for analyzing ...

New

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 ...

... testing frameworks (e.g., Selenium/WebDriver, Cypress, Playwright, Appium). * Experience with scripting languages (e.g., Python, Bash, or PowerShell) for automation tasks. * Proficiency in at least ...

Test Lead

Plano, TX · On-site

$45.50 - $62/hr

Automation Testing in Robot Framework * 6 years of proven experience in Python scripting and Robot Test Automation Framework. * Experience in automation frameworks (keyword-driven, data-driven, BDD ...

Showing results 21-40

Python Automation Testing information

See Texas salary details

$10

$47

$70

How much do python automation testing jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for python automation testing in Texas is $47.77, according to ZipRecruiter salary data. Most workers in this role earn between $41.20 and $54.42 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 Texas look for?

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

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

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

Infographic showing various Python Automation Testing job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $99,366 per year, or $47.8 per hour.

Lead Software Engineer - Python/Automation

JPMorgan Chase & Co.

Plano, TX • On-site

$156K - $215K/yr

Full-time

Medical, Retirement

Re-posted 20 hours 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 JPMorgan Chase within the Corporate Sector - Infrastructure Platforms - Storage team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Design and deliver solutions that address complex business and technical challenges across the storage product domain
  • Builds secure, high-quality production software in Python, applying best practices in testing, code review, observability, and performance tuning
  • 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, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies and partner with cross-functional stakeholders (engineering, product, operations, risk/security) to refine requirements, propose architectures, and deliver outcomes aligned to customer needs and business goals
  • Debug and troubleshoot complex issues in distributed systems with leading root-cause analysis and drive long-term fixes
  • Mentors junior engineers through coaching, pairing, reviews, and knowledge sharing-raising engineering standards across the team.
  • 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
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Demonstrated strength in system design, application development, testing strategies, and production operations/stability
  • Advanced in one or more programming language(s) and framework(s) (e.g., Python, Java, Fast API, Django, Rest API design, Containers, etc.)
  • Experience with distributed systems and messaging, such as RabbitMQ (or equivalent)
  • Experience with modern data stores such as Cockroach DB (or equivalent distributed SQL/NoSQL systems).
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations with experience coaching engineers on safe, compliant and adoption within delivery practices
  • Proficient in all aspects of the Software Development Life Cycle from requitements and design through production support and continuous enhancement
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, including automation (testing, deployment practices, secure coding, least privilege, incident response, SLOs/SLIs)
  • Practical cloud-native experience (e.g., containerization, infrastructure-as-code concepts, managed services), including exposure to AWS

Preferred qualifications, capabilities, and skills
  • Experience with storage systems, infrastructure technologies, or platform engineering domains
  • Exposure to modern and emerging technologies (e.g., event-driven architectures, service mesh, zero trust patterns, AI-assisted engineering)
  • Experience modernizing legacy systems and improving reliability at scale

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.

What JPMorgan Chase & Co. employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom