Automation testing
3 days ago
Role**: Automation Testing (Python, Java Script)Required Technical Skill Set: Automation Testing(Python, Java Script)Desired Experience Range: 07 - 10 yrsLocation of Requirement: BangaloreWe are currently planning to do a Virtual InterviewJob Title: Senior Quality EngineerJob Description:Aes testing, role, support role , Test automation, customer support operation, sythetic testing with datadog- Design and implement comprehensive test strategies for systems incorporating predictive or adaptive logic.- Develop and maintain automated test frameworks and tools to support continuous integration and delivery.- Collaborate with developers, product managers, and data specialists to embed quality from ideation through deployment.- Conduct exploratory testing and risk analysis for complex, data-intensive systems.- Monitor and report on quality metrics, identifying trends and areas for improvement.- Advocate for best practices in software quality engineering, including test-driven development, shift-left testing, and validation of non-deterministic behaviours.- Stay current with emerging technologies and testing approaches, especially those relevant to intelligent or learning-based systems.Basic Qualifications- Bachelor’s degree in Computer Science, Engineering, or a related field—or equivalent experience.- Minimum 5 years of hands-on experience as a software engineer.- Proven experience in software quality engineering, particularly with systems that evolve based on data or user interaction.- Strong understanding of model validation, data integrity, and performance benchmarking.- Proficiency in test automation tools and scripting languages (e.g., Python, Java Script).- Familiarity with testing frameworks and libraries used in data-driven or statistical computing environments.- Experience with cloud platforms (AWS, GCP, Azure) and CI/CD pipelines.- Excellent communication and collaboration skills, with a proactive and detail-oriented mindset.Preferred Qualifications- Master’s degree in Computer Science, Engineering, or a related field.- Expertise in AI/ML testing methodologies, including model validation, bias detection, and performance evaluation.- Familiarity with AI testing tools and libraries (e.g., Tensor Flow Model Analysis, MLflow, Py Test).- Knowledge of service standards and technologies, including RESTful APIs and microservices.- Experience with tools such as Git, Jira, Jenkins, Git Hub Actions.- Understanding of Agile methodologies and risk management strategies.
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