Description

You will lead quality assurance, performance, and resiliency testing for AWS-based applications and AI-driven solutions.

Responsibilities

• Develop and execute test plans, cases, and scripts for AWS and AI/ML models.
• Implement automated testing frameworks to increase coverage and efficiency.
• Design performance testing strategies using tools like JMeter or Gatling to identify bottlenecks.
• Execute resiliency testing and chaos engineering to ensure system recovery from failures.
• Collaborate with data scientists to validate the accuracy and reliability of AI models.
• Mentor junior engineers and continuously improve testing methodologies.

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 Selenium, JUnit, and TestNG.
• Hands-on experience with JMeter, LoadRunner, or Gatling.
• Understanding of chaos engineering principles and tools like Chaos Monkey or Gremlin.
• Bachelor's degree in Computer Science, Engineering, or a related field.

Preferred Skills

• Experience with AI frameworks including TensorFlow and PyTorch.
• Knowledge of containerization and orchestration using Docker and Kubernetes.

Key Skills

Education

Any Graduate