Codex Expert- AI

Codex Expert- AI
SFO, CA Hybrid

Skills: Automation engineer building Codex-driven testing frameworks, repeatable skills, and automation foundations for the first-party application layer across the P2P landscape

JD

Key Responsibilities
Design and develop Codex-driven testing and automation frameworks for first-party applications.
Build reusable AI automation skills, prompts, workflows, agents, utilities, and framework components that can be consistently applied across application teams.
Establish a scalable automation foundation covering UI, API, integration, regression, and end-to-end testing.
Develop automation solutions using Python and modern testing frameworks such as Playwright, Selenium, and PyTest.
Apply AI-assisted development techniques to accelerate:
Test case generation
Test script creation
Code generation and refactoring
Test-data generation
Failure analysis and debugging
Automation maintenance
Create reusable libraries, patterns, templates, and standards instead of application-specific one-off automation.
Integrate automated testing into CI/CD pipelines, including Jenkins, GitHub Actions, Azure DevOps, or similar platforms.
Develop API automation using REST-based services and appropriate testing libraries/frameworks.
Define framework architecture, coding standards, reusable modules, logging, reporting, configuration management, and exception-handling patterns.
Improve automation reliability by addressing flaky tests, execution failures, synchronization issues, and environment dependencies.
Build effective validation and guardrail mechanisms around AI-generated code and test assets.
Collaborate with developers, QA engineers, architects, product teams, and DevOps teams to identify high-value automation opportunities.
Conduct code reviews and provide technical guidance on AI-driven automation engineering practices.
Maintain technical documentation covering automation architecture, reusable skills, framework standards, and implementation guidelines.