Role**: Quality Engineer
Required Technical Skill Set: Quality Engineer
Desired Experience Range: 5 - 7 yrs
Notice Period: Immediate to 90Days only
Location of Requirement: Bangalore
We are currently planning to do a Virtual Interview
Job Description:
API testing, UI testing, playwright testing, PY testing , Backend testing
Key Responsibilities
- 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 fieldor equivalent experience.
- Minimum 2 years of hands-on experience as an 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.
- Ability to analyse complex systems and identify potential failure points or unintended behaviours.
- 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.
- Experience 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.
- Familiarity with test metrics, reporting, and continuous improvement practices.
- Understanding of Agile methodologies and risk management strategies.
