Senior Software Quality Engineer

2 weeks ago

Bengaluru, India Tata Consultancy Services Full time

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:

  • 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.

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