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Python Automation Testing Jobs in Kansas (NOW HIRING)

... to testing, deployment, configuration, and lifecycle of AI solutions in production. * Ensure AI ... Proficiency in Python and its associated AI/ML libraries (e.g., LangChain, LlamaIndex, Pandas ...

... privacy testing capabilities and promote automation. Continuously improve team processes and ... Proven hands-on experience with programming and scripting languages (e.g., C/C++, C#, Python ...

... testing capabilities and promote automation. • Continuously improve team processes and ... Python, Golang, JS). Preferred Qualifications: • Experience with automation, big data and ...

Lead testing cycles, release coordination, and post-release validation for Power Platform solutions ... Hands-on experience with scripting and automation using languages such as Python, PowerShell, and ...

... for automation and Power Platform solutions, including code quality, testing practices ... Python, AWS Lambda or comparable serverless platforms, REST API integrations, SQL. • Demonstrated ...

Test Analyst II

Overland Park, KS · On-site

$40K - $60K/yr

Strong programming/scripting experience in Python, Java, or JavaScript for automation. * Ability to analyze complex testing scenarios and drive risk-based testing strategies. * Familiarity with Agile ...

NM Resident Engineer Kansas City

Kansas City, KS · On-site

$95K - $121K/yr

Python and JAVA - Experience with Nokia network management system (NMS) is a plus. - Good hands experience with lab testing environment. - Good hands-on experience with automation tools. - Good hands ...

DevOps Engineer

Ottawa, KS · On-site

$46.50 - $63.50/hr

Automate integration, regression testing, and deployment verification processes to improve release ... Groovy, Python, and Shell/Bash for pipeline development and task automation.Observability ...

Serve as a technical authority on testing architecture, tooling, automation strategy, and best ... Strong programming skills (e.g., Python, JavaScript/TypeScript, Java, or similar). * Experience ...

$76K - $103K/yr

In addition, you will be responsible for implementing reliable and scalable automation test cases ... Fluency in at least one of Javascript, Typescript, Python, or Java * Experience with CI/CD tools ...

QA Test Engineer - KS

Overland Park, KS · On-site

$40.75 - $55.50/hr

Maintain the proprietary Python code for our automated test system * Maintain + expand our Jenkins scripting to improve our automated test suite * Create new automation scripts for complex testing ...

... Python, SQL, Java). Implement and maintain APIs and automation scripts for data exchange between systems. Integrate applications with third-party systems, APIs, and databases. Conduct unit testing ...

... Python, SQL, Java). Implement and maintain APIs and automation scripts for data exchange between systems. Integrate applications with third-party systems, APIs, and databases. Conduct unit testing ...

... Python, SQL, Java). Implement and maintain APIs and automation scripts for data exchange between systems. Integrate applications with third-party systems, APIs, and databases. Conduct unit testing ...

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Python Automation Testing information

See Kansas salary details

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How much do python automation testing jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for python automation testing in Kansas is $45.73, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $52.12 per hour, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as a Python Automation Testing professional, and why are they important?

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 some common challenges faced in a Python Automation Testing role, 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 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 popular job titles related to Python Automation Testing jobs in Kansas? For Python Automation Testing jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Python Automation Testing jobs in Kansas look for? The top searched job categories for Python Automation Testing jobs in Kansas are:
What cities in Kansas are hiring for Python Automation Testing jobs? Cities in Kansas with the most Python Automation Testing job openings:
Infographic showing various Python Automation Testing job openings in Kansas as of July 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $95,121 per year, or $45.7 per hour.

Automation Engineer, Agentic Orchestration

StackAdapt

On-site, Remote

Other

Re-posted 9 days ago


Job description

What We're Looking For:

An Automation Engineer with a focus on Agentic Orchestration focuses on seamlessly connecting AI capabilities, including orchestrated agent systems, with existing business processes and enterprise applications. This role will leverage modern AI tools and frameworks to build sophisticated automation solutions and create and configure AI agents to handle complex, non-repetitive tasks that require reasoning, context-awareness, and interaction with multiple systems. Our ultimate goal is to design and deploy autonomous agentic systems that can independently manage and execute complex business processes with a high degree of accuracy and efficiency.

What you'll be doing:
  • Collaborate with business stakeholders to conduct in-depth analysis of existing workflows, identifying and documenting opportunities for intelligent, AI-driven automation.
  • Oversee the entire lifecycle of AI agent development, from initial design and prototyping to testing, deployment, configuration, and lifecycle of AI solutions in production. 
  • Ensure AI agent development security, scalability, and reliability through ongoing monitoring and performance tuning.
  • Design and implement integration solutions to connect AI agents and models with enterprise systems such as CRMs, ERPs, and internal databases.
  • Design and implement an evaluation system that serves as a mechanism for quality control and continuous improvement.
  • Build and configure AI agents to perform tasks such as natural language understanding, data extraction, decision-making, and system interactions.
  • Develop custom connectors, APIs, and middleware to facilitate data exchange and process automation between AI services and other applications.
  • Continuously explore and evaluate new AI technologies and tools to drive innovation in automation.
  • Mentor system admins and junior developers to build and configure AI Agents.
What you'll bring to the table:
  • Demonstrable experience with AI services from major cloud providers (e.g., OpenAI, Google Vertex AI, AWS Bedrock) and hands-on experience with LLM APIs.
  • A solid understanding of business process analysis and re-engineering.
  • Solid understanding of Natural Language Processing (NLP), LLMs, and ML principles.
  • Experience with enterprise integration platforms (e.g., Workato, MuleSoft, Boomi).Experience with RPA platforms (e.g., UiPath, Automation Anywhere, Blue Prism) is a plus, but the focus is on modern AI-driven automation.
  • Hands-on experience with conversational AI platforms and frameworks for building chatbots and virtual assistants.
  • Proficiency in Python and its associated AI/ML libraries (e.g., LangChain, LlamaIndex, Pandas, TensorFlow, or PyTorch).
  • A solid understanding of embedding processes, vector databases, RAG systems and knowledge graphs.
  • Strong understanding of API design principles (REST, RPC, SSE, GraphQL) and data formats (JSON, XML).
  • Familiarity with database technologies (SQL and NoSQL).A creative and  analytical mindset with  passion for solving complex problems through automation.
  • Entrepreneurial approach, strong builder with excellent problem-solving skills and the ability to work effectively in a cross-functional team.
  • Bachelor's degree in Computer Science, Information Technology, or equivalent practical experience.
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