Automation Testing
3 days ago
Role**: Automation Testing (Python, JavaScript)Required Technical Skill Set: Automation Testing(Python, JavaScript)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 datadogDesign 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 QualificationsBachelor’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, JavaScript).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 QualificationsMaster’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., TensorFlow Model Analysis, MLflow, PyTest).Knowledge of service standards and technologies, including RESTful APIs and microservices.Experience with tools such as Git, Jira, Jenkins, GitHub Actions.Understanding of Agile methodologies and risk management strategies.
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