Quality Assurance Automation Engineer/ SDET

We are seeking experienced SDET (Software Development Engineer in Test) to play a critical role in designing, developing, and maintaining test automation frameworks to validate the functionality, performance, and scalability of our AI Vision platform. You will collaborate closely with the development, data science, and product teams to identify test requirements and build robust automated tests to ensure high-quality software delivery.

Key Responsibilities:

Test Automation Development:

• Design and implement scalable test automation frameworks using Python.
• Develop and maintain automated test scripts for API, UI, and backend testing.
• Integrate automated tests into CI/CD pipelines to ensure continuous validation.

Test Strategy & Planning:

• Define and implement test strategies for functional, regression, performance, and security testing.
• Identify and prioritize test cases for automation to improve test efficiency.

API & Performance Testing:

• Validate REST APIs and microservices using Python-based frameworks such as Pytest or Robot Framework.
• Conduct performance testing using tools like JMeter or Locust to identify bottlenecks and optimize system performance.

Defect Management:

• Collaborate with developers to investigate and debug test failures.
• Track, report, and manage defects using tools like JIRA or Azure DevOps.

AI/ML Model Validation:

• Develop test cases to validate AI/ML models and ensure model accuracy and consistency.
• Monitor model drift and retrain AI models based on test results.

Required Skills & Experience:

• 3 years of experience as an SDET/Automation Engineer with strong expertise in Python.
• Hands-on experience with Pytest, Selenium, Robot Framework, or similar test automation tools.
• Experience with API testing and knowledge of RESTful services.
• Proficiency in building CI/CD pipelines using Jenkins, GitHub Actions, or Azure DevOps.
• Strong knowledge of test design principles, test strategy, and defect management.
• Experience with containerized environments (Docker/Kubernetes) is a plus.
• Familiarity with AI/ML testing and model validation is an advantage.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Experience working with AI/ML models and computer vision technologies.
• Knowledge of cloud platforms such as AWS, GCP, or Azure.

About Brickred Systems:

Brickred Systems is a global leader in next-generation technology, consulting, and business process service companies. We enable clients to navigate their digital transformation. Brickred Systems delivers a range of consulting services to our clients across multiple industries around the world. Our practices employ highly skilled and experienced individuals with a client-centric passion for innovation and delivery excellence.

With ISO 27001 and ISO 9001 certification and over a decade of experience in managing the systems and workings of global enterprises, we harness the power of cognitive computing hyper-automation, robotics, cloud, analytics, and emerging technologies to help our clients adapt to the digital world and make them successful. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.