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Mid-level, Pune location, common QA automation title creates moderate applicant competition despite niche AI/telecom requirements.
Requires embedded telecom knowledge plus Python automation, making cross-industry transfer moderately constrained.
Explicit 4–6 years, mandatory AI-for-testing and telecom automation skills increase screening rigor.
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Develop and enhance Python-based automation frameworks and test suites for embedded telecom/networking products and microservices.
Own feature test planning, test case design, execution, and regression testing to maintain product quality amid code changes.
Build and deploy AI/GenAI-powered tools to automate QA workflows like log analysis, test summarization, and failure classification.
Bachelor's or Master's degree in Computer Science or related field.
4-6 years of QA automation experience using Python in telecom/networking or microservices/cloud SaaS products.
Hands-on experience with AI/GenAI/LLM tools applied to testing workflows (e.g., failure analysis, log summarization).
Familiarity with Python test frameworks (pytest/unittest/nose), networking fundamentals, Jenkins/GitLab CI, Unix/Linux, and version control (git).
Experience operating in embedded telecom or networking product environments with strong domain knowledge.
Proficient in integrating AI/GenAI capabilities into QA processes to enhance automation and efficiency.
Comfortable owning end-to-end test planning, collaborating cross-functionally, and mentoring junior QA engineers.