Contribute to the design, development, and enhancement of our existing Python-based automation framework.
Create and maintain automation test suites for feature and regression testing across product lines.
Own feature test planning, test case design, execution, and reporting for assigned areas.
Build and maintain custom AI-driven "skills"/agents to automate repetitive QA workflows (e.g., log analysis, failure classification, test summarization).
Create AI-powered tools to enhance QA productivity and efficiency across the test lifecycle.
Debug test scripts to identify defects, then log and follow them through to resolution and verification.
Own regression test areas and ensure product quality is maintained despite code churn.
Participate in design reviews and roadmap discussions with Product Management, Development, and Solutions teams.
Collaborate with and mentor junior QA engineers; review test plans/code written by peers.
Ensure effective communication of test status and quality risks to stakeholders.
Required Skills & Experience
Bachelor's/Master's degree in Computer Science or a closely related discipline.
4-6 years of QA automation experience using Python on embedded telecom products, networking products, or microservices/cloud-based SaaS products.
Hands-on experience applying AI/GenAI/LLM-based tools to testing workflows — e.g., automated failure analysis, log/RCA summarization, or building custom AI agents/skills — is required.
Good understanding of Object-Oriented Design and experience with at least one Python test framework (pytest, unittest, nose).
Exposure to networking fundamentals and protocols — L2/L3/L4, switching, VLAN, TCP/IP, routing — is a strong plus.
Experience with UI automation tools (Selenium/Playwright) and API/backend testing (REST, JSON, XML).
Familiarity with Jenkins/GitLab CI pipelines.
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