Quality Engineer
Quality Engineer
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Job Description
Position: Quality Engineer / Lead
Location: Malvern PA or Charlotte (3 days onsite / Week) Day 1 onsite.
Mode of Hire: Full time
Job Description:
Overview
We are seeking a highly skilled and motivated Quality Engineer with expertise in AWS artificial intelligence (AI) resiliency and performance testing. The ideal candidate will possess a strong background in quality assurance a passion for cuttingedge technology and the ability to ensure our systems are robust resilient and perform optimally under all conditions. This role will require close collaboration with development operations and product teams to deliver highquality solutions that meet our business objectives.
Key Responsibilities
- Quality Assurance and Testing
- Develop and execute comprehensive test plans test cases and test scripts for AWSbased applications and AIdriven solutions.
- Ensure all functional integration system and regression testing is completed thoroughly and efficiently.
- Implement automated testing frameworks and tools to improve testing efficiency and coverage.
- Collaborate with developers to identify reproduce and resolve defects.
Performance Testing
- Design and implement performance testing strategies to validate the scalability reliability and performance of our applications.
- Use performance testing tools (e.g. JMeter LoadRunner Gatling) to simulate user load and identify performance bottlenecks.
- Analyze performance test results and provide detailed feedback and recommendations for improvement.
- Work with development and operations teams to optimize application performance and ensure it meets our standards and SLAs.
- Resiliency Testing
- Develop and execute resiliency testing plans to ensure our applications can withstand and recover from unexpected failures and disruptions.
- Implement chaos engineering principles and tools (e.g. Chaos Monkey Gremlin) to test the robustness of our systems.
- Collaborate with development and operations teams to identify vulnerabilities and implement strategies to improve system resiliency.
- Artificial Intelligence
- Develop and execute testing strategies for AI and machine learning models to ensure their accuracy reliability and robustness.
- Collaborate with data scientists and AI engineers to validate model performance and ensure they meet business requirements.
- Implement monitoring and validation techniques to ensure AI models continue to perform well in production environments.
- Continuous Improvement
- Continuously evaluate and improve our testing processes tools and methodologies to ensure high standards of quality and efficiency.
- Stay updated with industry trends best practices and emerging technologies in quality engineering AI and cloud computing.
- Provide mentorship and guidance to junior quality engineers and contribute to the overall growth and development of the QA team.
Qualifications
- Bachelors degree in Computer Science Engineering or a related field.
- At least 5 years of experience in quality assurance and performance testing.
- Strong expertise in AWS services and cloudbased applications.
- Experience with AI and machine learning testing.
- Proficiency in automated testing tools and frameworks (e.g. Selenium JUnit TestNG).
- Experience with performance testing tools (e.g. JMeter LoadRunner Gatling).
- Understanding of chaos engineering principles and tools (e.g. Chaos Monkey Gremlin).
- Excellent analytical problemsolving and communication skills.
- Ability to work collaboratively in a fastpaced agile environment.
- Strong attention to detail and commitment to quality.
Preferred Skills
- Advanced certifications in AWS and related technologies.
- Experience with AI frameworks and libraries (e.g. TensorFlow PyTorch).
- Knowledge of containerization and orchestration tools (e.g. Docker Kubernetes).
- Familiarity with CI/CD pipelines and tools (e.g. Jenkins GitLab CI).
- Experience with monitoring and logging tools (e.g. Prometheus Grafana ELK stack).
Employment Type
Full Time
