Job description
Role**: Automation Testing (Python, JavaScript)
Required Technical Skill Set: Automation Testing(Python, JavaScript)
Desired Experience Range: 07 - 10 yrs
Location of Requirement: Bangalore
We are currently planning to do a Virtual Interview
Job Title: Senior Quality Engineer
Job Description:
Aes testing, role, support role , Test automation, customer support operation, sythetic testing with datadog (Atllassian) is must
- 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, 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 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., 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.
Required Skill Profession
Computer Occupations