Automation Tester-Standard Insurance
Must have skills: SDET skills, Azure devops, python, pytest test automation and Framework, AI ML practices, RAGAS, LLMs
Brief JD:
• Experience in designing LLM/RAG test automation solutions
• Experience in testing for bias, drift, and fairness.
• Familiarity with performance metrics (precision, recall, F1, ROC-AUC).
• Knowledge of MLflow MLOps framework
• Knowledge of tools for synthetic data generation and boundary testing
• Knowledge of Azure DevOps for CI/CD pipeline development
• Experience in RAG/pipeline evaluation frameworks -
• pytest: Test automation framework
• DeepEval or TruLens: LLM test assertions
• RAGAS: RAG-specific metrics
• Eleuther: LLM evaluation harness
• Garak or Promptfoo: LLM red-teaming
• Evidently: Drift/performance monitoring
• Exposure to explainability frameworks (SHAP, LIME, Captum)
• Handson experience in API and Database testing.
• Practical knowledge of Databricks, Azure Cloud services land distributed data validation.
• Proficiency with Azure DevOps pipelines YAML templates, agent pools, CICD workflows.
• Experience in implementing AIML practices in testing e.g., test generation, anomaly detection, log analysis to improve test efficiency and coverage.
• Familiarity with Cucumber (BDD) and test reporting frameworks (e.g., Allure).
• Strong understanding of integration testing across Databricks streaming jobs, applications and microservices.
• Experience with performance testing tools (JMeter, LoadRunner, or equivalent).
• Experience with Pester framework for validating PowerShell scripts and infrastructure automation.
• Solid understanding of Agile/Scrum methodology and handson usage of JIRA.
• Excellent problem-solving, debugging, and communication skills, with the ability to advise development teams on testing best practices.
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