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Pytest Python Selenium Jobs in Dickinson, TX (NOW HIRING)

Pytest Python Selenium information

See Dickinson, TX salary details

$19.3K

$117.6K

$170.1K

How much do pytest python selenium jobs pay per year?

As of May 30, 2026, the average yearly pay for pytest python selenium in Dickinson, TX is $117,568.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,800.00 and $138,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Selenium Automation Tester using Pytest, and why are they important?

To thrive as a Python Selenium Automation Tester, you need strong programming skills in Python, experience with Selenium for browser automation, and knowledge of automated testing frameworks like Pytest. Familiarity with version control systems (such as Git), CI/CD tools (like Jenkins), and test management platforms is typically required, along with relevant certifications such as ISTQB. Attention to detail, analytical thinking, and effective communication are essential soft skills that set top testers apart. These skills ensure robust test coverage, efficient bug identification, and seamless collaboration within development teams, leading to higher software quality.

What are some common challenges faced by Pytest Python Selenium automation engineers when maintaining test suites over time?

Automation engineers using Pytest, Python, and Selenium often encounter challenges like test flakiness due to dynamic web elements, frequent UI changes that require updates to selectors, and managing dependencies between tests. As projects grow, maintaining clear test structure and ensuring tests remain reliable and independent is crucial. Engineers frequently collaborate with developers and QA teams to prioritize test coverage and quickly address issues that arise from application changes.

What are Pytest, Python, and Selenium?

Pytest is a popular testing framework for Python that makes it easy to write simple and scalable test cases. Python is a versatile, high-level programming language widely used for automation, web development, data analysis, and testing. Selenium is an open-source tool used for automating web browsers, enabling developers to write scripts in Python (or other languages) to simulate user interactions and verify web application behavior. Together, Pytest, Python, and Selenium are commonly used for automated testing of web applications to ensure they function as expected.

What is the difference between Pytest Python Selenium vs QA Tester?

AspectPytest Python SeleniumQA Tester
Primary FocusAutomated testing of web applications using PythonManual and automated testing to ensure software quality
Skills RequiredPython programming, Selenium WebDriver, test automationTesting methodologies, scripting, defect tracking
Work EnvironmentDevelopment teams, test automation frameworksQuality assurance teams, software development lifecycle
CertificationsNone mandatory, but Python or automation certifications helpfulISTQB, CSTE, or similar testing certifications

Pytest Python Selenium specialists focus on creating automated test scripts for web applications using Python, while QA Testers perform both manual and automated testing to identify defects. Both roles are essential in software quality assurance but differ in technical depth and scope.

What cities near Dickinson, TX are hiring for Pytest Python Selenium jobs? Cities near Dickinson, TX with the most Pytest Python Selenium job openings:
Automation Test Architect - Agentic AI

Automation Test Architect - Agentic AI

Wolters Kluwer

Houston, TX

$89.60K - $157K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Wolters Kluwer rating

8.8

Company rating: 8.8 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

30th of 183 rated software companies


Job description

We are seeking a Test Automation Architectto define and lead an enterprise-gradetest automation strategyacross UI, API, data, and platform layers-while evolving our quality engineering capabilities to supportAgentic AI / LLM-based systems(probabilistic outputs, confidence-based validation, hallucination detection, and model evaluation). This role will architect scalable automation frameworks, drive engineering excellence, and accelerate delivery through highly productive, maintainable automation programs.Key ResponsibilitiesAutomation Strategy & Architecture
  • Define and own thetest automation architecture and multi-layer strategy(UI/API/contract/integration/e2e), aligned to product risk and release cadence.
  • Establish automationstandards, patterns, and reference implementations(framework structure, page-object/screenplay usage, test data patterns, reporting).
  • Driveshift-left testingpractices (contract testing, component testing, pre-merge validation) and reduce reliance on fragile end-to-end tests.
Agentic AI / LLM Test Model Alignment
  • Design and implement testing approaches fornon-deterministic AI outputs, including:
    • confidence/threshold-based assertions
    • semantic similarity checks and rubric-based validation
    • goldens/benchmark datasets and evaluation harnesses
    • hallucination and groundedness testing strategies
    • regression detection across model/prompt/version changes
  • Define AI test coverage acrossaccuracy, robustness, bias/safety (as applicable), performance, and reliability.
  • Partner with ML/AI, Product, and Engineering to establishacceptance criteriafor AI capabilities and measurable quality gates.
High-Productivity Automation Programs
  • Build and scalehigh-throughput automation projectsthat are reliable, fast, and easy to extend.
  • Improvetest execution time, reduce flaky tests, and optimize CI/CD pipelines (parallelization, test selection, retries with guardrails).
  • Create actionable, engineering-friendlyquality dashboards(pass/fail trends, flake rate, coverage, defect escape metrics).
Tooling, CI/CD, and Quality Gates
  • Integrate automation into CI/CD withquality gates(PR checks, nightly suites, release readiness criteria).
  • Standardizeobservability for testing: logs, tracing hooks, screenshots/video, artifacts, and test run diagnostics.
  • Define practices fortest environments, data management, service virtualization, and dependency control.
Technical Leadership & Mentorship
  • Serve as the QE technical authority: coach engineers on automation design, code quality, and best practices.
  • Lead design reviews for test architecture and automation PRs; enforce coding standards and maintainability.
  • Influence roadmap and delivery by translating risk into clear testing priorities.
Required Qualifications
  • 8-12+ yearsin Quality Engineering / Test Automation witharchitect-level ownershipof frameworks and strategy.
  • Proven experience designing scalable automation across:
    • API testing(contract + integration)
    • UI automationwith stable locator strategies (test IDs, accessibility roles)
    • Test datastrategy and environment reliability
  • Strong programming skills in at least one modern language (e.g.,Java, Python, TypeScript/JavaScript, C#).
  • Expertise with automation tools/frameworks (examples):
    • UI: Playwright / Cypress / Selenium
    • API: REST-assured / SuperTest / Postman/Newman / pytest
    • CI: GitHub Actions / Jenkins / Azure DevOps
  • Demonstrated ability to reduce flakiness and improve execution speed throughengineering solutions.
Preferred Qualifications (Strongly Desired)
  • Experience testingLLM/Agentic AIfeatures or other probabilistic systems, including:
    • evaluation harnesses, benchmark datasets, semantic scoring, and drift detection
    • prompt/version regression strategies and structured evaluation reports
  • Familiarity with modern quality approaches:test pyramid,contract testing,consumer-driven contracts,risk-based testing,shift-left.
  • Knowledge of security/performance testing integration (baseline understanding; hands-on is a plus).
  • Experience building reusable automation libraries for multiple teams/products.
Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$89,600.00 - $157,000.00 USDThis role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.


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