Description

You will own the end-to-end quality assurance process for AWS-based applications and AI-driven solutions.

Responsibilities

• Develop and execute test plans, cases, and scripts for functional, integration, system, and regression testing.
• Implement automated testing frameworks to increase coverage and efficiency.
• Design performance testing strategies using tools like JMeter, LoadRunner, or Gatling to identify bottlenecks and validate scalability.
• Execute resiliency testing using chaos engineering principles to ensure systems recover from unexpected failures.
• Validate AI and machine learning model accuracy and reliability in production environments.

Required Skills

• 5+ years of experience in quality assurance and performance testing.
• Strong expertise in AWS services and cloud-based applications.
• Experience testing AI and machine learning models.
• Proficiency with automated testing tools including Selenium, JUnit, and TestNG.
• Hands-on experience with performance testing tools such as JMeter, LoadRunner, or Gatling.
• Understanding of chaos engineering principles and tools like Chaos Monkey or Gremlin.
• Degree in Computer Science, Engineering, or a related field.

Preferred Skills

• Experience with AI frameworks such as TensorFlow or PyTorch.
• Knowledge of containerization and orchestration including Docker.
• Familiarity with CI/CD pipelines using Jenkins or GitLab.

Key Skills

Education

Any Graduate