Quality Engineer Lead - ApTask

About Client:
The client provides information technology (IT) services, including business outsourcing, infrastructure technology, and application services. The application service offered by the company includes application development, maintenance, and support. The markets served by the company are financial services and insurance, healthcare, manufacturing, government, transportation, communications, and consumer and retail industries.



Salary Range: $130K-$150K/Annum



Job Description:

• 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 cutting-edge 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 high-quality solutions that meet our business objectives.

• Quality Assurance and Testing
• Develop and execute comprehensive test plans, test cases, and test scripts for AWS-based applications and AI-driven 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.

• 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.

• Bachelor’s 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 cloud-based 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, problem-solving, and communication skills.
• Ability to work collaboratively in a fast-paced, agile environment.
• Strong attention to detail and commitment to quality.

• 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).

About ApTask:
ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-certified company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Candidate Data Collection Disclaimer:
At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.

If you have any concerns or queries about your personal information, please feel free to contact our compliance team at businessexcellence@aptask.com