1

Python Selenium Jobs in North Carolina (NOW HIRING)

Technology Lead - DevOps

Charlotte, NC

$51.50 - $70.50/hr

... Selenium Team Collaboration - Confluence Scripting - Shell scripting, Power Shell, Perl, PHP, Ruby, Python Operating System - Linux, UNIX, Windows, Redhat At least 2 years of experience in developing ...

DevOps MUST CI/CD ( USC & GC )

Charlotte, NC

$51.50 - $70.50/hr

Test Automation -Selenium * Team Collaboration - Confluence * Scripting - Shell scripting, Power Shell, Perl, PHP, Ruby, Python * Operating System - Linux, UNIX, Windows, Redhat * At least 2 years of ...

... Python Experience with Test automation tools -Playwright, Karate, BDD, Selenium, Blazemeter/JMeter, Test Data Management tool Experience with DevOps and RE tools chain like Sonar, Nexus, Jenkins, Git ...

FIX Protocol Developer (Java)

Charlotte, NC

$49.75 - $64.50/hr

... Python) • Experience conducting code reviews, ensuring code quality, and supporting production readiness • Hands on experience with E2E/UI testing frameworks like Playwright, Cypress and Selenium ...

next page

Showing results 1-20

People also search for

Python Selenium information

See North Carolina salary details

$20.9K

$127.2K

$184K

How much do python selenium jobs pay per year?

As of May 31, 2026, the average yearly pay for python selenium in North Carolina is $127,206.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,400.00 and $149,500.00 per year, depending on experience, location, and employer.

What is a Python Selenium job?

A Python Selenium job involves using the Selenium automation framework with Python to automate web-based tasks such as testing, data extraction, or browser interaction. Professionals in this role write scripts to simulate user interactions, validate web applications, and ensure functionality across different browsers. These jobs are common in QA testing, web scraping, and DevOps automation.

What are the key skills and qualifications needed to thrive in the Python Selenium position, and why are they important?

To thrive as a Python Selenium professional, you need a solid understanding of Python programming, web automation techniques, and experience with the Selenium framework. Familiarity with testing tools like PyTest, Jenkins for CI/CD, and relevant certifications in software testing or automation is advantageous. Strong analytical thinking, attention to detail, and effective communication skills help set top candidates apart. These qualifications enable efficient test automation, ensure software quality, and foster strong collaboration within development and QA teams.

What are typical daily responsibilities for a Python Selenium role?

A typical day for someone in a Python Selenium role involves designing, developing, and maintaining automated test scripts to validate web applications. You'll regularly collaborate with developers, QA analysts, and product managers to understand requirements, report bugs, and ensure smooth release cycles. Troubleshooting test failures, maintaining test data, and updating scripts to accommodate application changes are common tasks. This role requires strong collaboration and adaptability, as priorities can shift based on testing needs and project timelines.
What are the most commonly searched types of Python Selenium jobs in North Carolina? The most popular types of Python Selenium jobs in North Carolina are:
What job categories do people searching Python Selenium jobs in North Carolina look for? The top searched job categories for Python Selenium jobs in North Carolina are:
What cities in North Carolina are hiring for Python Selenium jobs? Cities in North Carolina with the most Python Selenium job openings:
Senior AI QA Automation Engineer--Onsite at Charlotte, NC - In Person Interview

Senior AI QA Automation Engineer--Onsite at Charlotte, NC - In Person Interview

K Anand Corporation

Charlotte, NC

Other

Posted 21 days ago


Job description

We are seeking a Senior / Lead AI QA Automation Engineer to drive the next generation of AI-powered test automation using Generative AI and Model Context Protocol (MCP) based solutions. This role will focus on building intelligent systems that ingest user stories, acceptance criteria, and test context from tools such as JIRA, Confluence, APIs, and code repositories, and automatically generate, execute, and maintain UI and API automation.

The ideal candidate will design context-aware, self-healing automation ecosystems using LLMs and MCP to reduce manual effort, improve reliability, and enable true shift-left quality engineering across agile teams.

Key Responsibilities

AI & MCP-Based Test Generation

  • Design and implement MCP-based AI solutions that provide LLMs structured access to:
    • User stories and acceptance criteria (JIRA/Confluence)
    • Existing test assets and automation frameworks
    • Application metadata, APIs, and UI locators
  • Use LLMs (e.g., GPT-4, Claude) with MCP to automatically generate:
    • BDD test scenarios (Gherkin)
    • Executable UI and API automation scripts
    • Test data and edge-case coverage
  • Ensure generated tests remain context-aware, explainable, and traceable to requirements.

Intelligent Automation Framework Development

  • Build and enhance AI-driven automation frameworks incorporating:
    • MCP-based context retrieval for dynamic test generation
    • Self-healing locators and adaptive test flows
    • Automatic test refactoring when application or requirements change
  • Establish standards for scalable, reusable, and maintainable automation.

Shift-Left & Agile Quality Enablement

  • Enable test creation during story grooming and development sprints using AI-assisted workflows.
  • Provide immediate feedback to developers via MCP-powered test execution and analysis.
  • Collaborate closely with product owners, developers, and platform teams.

AI Application & Model Validation

  • Validate AI-enabled features and systems, including:
    • Prompt behavior and response quality
    • MCP context accuracy and relevance
    • RAG pipelines and tool-based grounding
    • Non-deterministic outputs and hallucination risks
  • Define validation strategies, scoring thresholds, and acceptance criteria for AI-driven functionality.

UI & API Automation

  • Develop robust UI automation using Playwright (preferred), Selenium, or Cypress.
  • Create comprehensive API automation for RESTful services and backend integrations.
  • Ensure consistency between AI-generated tests and hand-crafted regression suites.

Flaky Test Detection & Optimization

  • Leverage AI and MCP context to:
    • Identify flaky tests and root causes
    • Correlate failures with application, environment, or data changes
    • Automatically recommend or implement fixes
  • Improve overall test suite stability and reliability.

Required Skills & Qualifications

AI, MCP & Generative Automation

  • 1+ years of experience building AI-driven test automation solutions.
  • Hands-on experience using LLMs with structured context, including:
    • Model Context Protocol (MCP) or equivalent tool-based/contextual grounding approaches
    • OpenAI APIs, Claude, LangChain, or similar orchestration frameworks
  • MCP Architecture & Tooling:
    Experience defining MCP servers, tools, and context sources to safely expose enterprise data to LLMs for test automation use cases.
  • Prompt Engineering & Context Design:
    Ability to design prompts and MCP context boundaries that produce high-quality, deterministic, and auditable test outputs.
  • AI Output Analysis:
    Experience analyzing non-deterministic AI outputs and defining scoring, confidence thresholds, and validation rules.

Desired Skills & Experience

  • Automation & Programming
    • Strong expertise in Playwright (preferred), Selenium, or Cypress.
    • Proficiency in Python or TypeScript/JavaScript.
    • Solid knowledge of automation design patterns and test architecture.
  • BDD & Test Engineering
    • Extensive experience with BDD frameworks (Cucumber/Gherkin).
    • Strong understanding of Page Object Model and test maintainability strategies.
  • API Testing
    • Proficient in API testing using RestAssured, Postman, or similar tools.
    • Experience validating complex API workflows and backend integrations.