Senior Python Automation Engineer – QA
Location: Plano, TX 75075
Duration: 8 Months
Interview: In-Person Interview Mandatory
Experience: 8+ Years
Position Overview
We are seeking a highly experienced Senior Python Automation / QA Engineer to serve as a quality gatekeeper across the full software delivery lifecycle.
The ideal candidate will have strong hands-on experience in Python automation, Playwright, Selenium, API testing, data validation, SQL, CI/CD, and Azure. This role will be responsible for validating business requirements, designing and executing end-to-end test strategies, maintaining requirement traceability, and ensuring quality throughout the development lifecycle.
Experience with GenAI / Agentic AI testing is highly desirable.
Key Responsibilities
Develop and optimize comprehensive Test Strategies and Test Plans.
Review Business Requirements Documents (BRDs) and translate requirements into testable acceptance criteria.
Identify gaps, ambiguities, and risks in requirements before development begins.
Maintain a Requirements Traceability Matrix (RTM) linking requirements, test cases, test results, and defects.
Participate in BRD walkthroughs and sign-off discussions with business stakeholders.
Design, develop, and execute end-to-end functional, integration, and regression tests.
Test complete data pipelines from source systems through Databricks/Snowflake transformations to dashboard/UI layers.
Validate data accuracy across Databricks Unity Catalog schemas.
Develop and execute SQL-based data validation scripts.
Build Python-based data quality frameworks using Great Expectations, Deequ, or custom solutions.
Validate data completeness, referential integrity, and schema evolution across raw and curated data layers.
Develop and maintain scalable automation frameworks using Python, Playwright, and Selenium.
Perform comprehensive REST and GraphQL API testing and automation.
Validate API contracts, request/response schemas, status codes, headers, and authentication.
Test authentication and authorization flows, including token validation, role-based access, and session management.
Validate API error handling, malformed payloads, rate limiting, timeouts, and 4xx/5xx responses.
Perform API performance testing using Locust, k6, or JMeter.
Test API versioning, backward compatibility, and deprecation handling.
Integrate automated API and UI testing into CI/CD pipelines.
Validate consistency between API responses and underlying Databricks/SQL query results.
Manage defects throughout the lifecycle and ensure no critical requirements are missed or escaped.
Required Technical Skills
8+ years of experience in Python and QA automation.
Strong hands-on experience with Python automation frameworks.
Deep experience with Playwright and Selenium WebDriver.
Experience with Python, TypeScript, and/or JavaScript for automation.
Strong hands-on experience in API automation and API testing.
Experience with REST and GraphQL APIs.
Strong SQL and database validation skills.
Experience with Databricks and/or Snowflake.
Knowledge of Databricks Unity Catalog.
Experience with CI/CD and DevOps practices.
Hands-on experience with Azure DevOps, Jenkins, GitHub Actions, and Docker.
Strong experience in Test Strategy, Test Planning, Test Case Development, and Execution.
Strong experience with Requirement Traceability and Defect Management.
API Testing Experience
Candidates should have experience with:
REST APIs
GraphQL APIs
API contract testing
Request/response validation
Authentication and authorization
Token validation
Role-based access
Session management
Error handling and edge cases
Rate limiting
Timeout scenarios
4xx/5xx responses
API versioning
Backward compatibility
API Testing Tools
Experience with one or more of the following:
Postman
Bruno
Python Requests
HTTPX
Swagger/OpenAPI
Locust
k6
JMeter
Data & Database Testing
Strong experience with SQL-based data validation.
Experience testing data pipelines and transformations.
Databricks / Snowflake experience.
Experience with Unity Catalog is highly preferred.
Data quality and data validation experience.
Ability to validate:
Experience with Great Expectations, Deequ, or custom Python data quality frameworks.
CI/CD & DevOps
Experience integrating automated tests into CI/CD pipelines.
Hands-on experience with:
Azure DevOps
Jenkins
GitHub Actions
Docker
Git
Understanding of automated build, deployment, and testing processes.
GenAI / Agentic AI Testing
Experience with GenAI, LLM, or Agentic AI testing is a strong plus.
Candidates with experience testing AI-powered applications, AI agents, LLM workflows, response quality, or AI-based automation frameworks are preferred.
Core QA Responsibilities
Test Strategy and Test Planning
Test Case Design and Execution
End-to-End Testing
Functional Testing
Integration Testing
Regression Testing
API Testing
Data Validation
Requirements Traceability
Defect Management
UAT Support
Quality Gatekeeping
Qualifications
8+ years of experience in Python, QA, and Automation Testing.
Strong analytical, troubleshooting, and problem-solving skills.
Excellent communication and collaboration skills.
Ability to work effectively with business, development, data, and QA teams.
Strong ownership of quality throughout the SDLC.
In-person interview is mandatory.
Supervisory Responsibility
No direct reports.
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