Lead Test Architect
1 week ago
Job Location: Plano, Texas
Position Overview
In response to the rapid advancements in the Digital Health domain, we are enhancing our capabilities across various sectors to better assist patients, healthcare professionals, and representatives. This role is designed for a Senior Test Architect who will engage in pioneering technology initiatives that integrate AI within this industry.
Key Responsibilities
- Enhancement of Testing Infrastructure: Collaborate with software development teams to assess and refine current testing frameworks, pinpointing areas for enhancement and integrating AI-driven tools and methodologies.
- AI Technology Integration: Investigate, assess, and deploy cutting-edge AI solutions to improve test automation, data interpretation, and defect identification processes, thereby enhancing operational efficiency and precision.
- Training Development: Create comprehensive training resources and programs to ensure test engineers possess thorough knowledge of neuromodulation products.
- Test Case Formulation: Develop and execute extensive test cases that encompass diverse product scenarios, utilizing AI to generate smart test data and recognize potential edge cases.
- Automation of Testing: Leverage AI algorithms to streamline test execution, data gathering, and result evaluation, ensuring swift feedback loops and promoting continuous testing methodologies.
- Defect Analysis: Work alongside cross-functional teams to investigate defects, determine root causes, and implement corrective measures, using AI to identify patterns and trends in defect data.
- Performance Analysis: Assess product performance metrics, applying AI to detect bottlenecks and enhance product functionality under varying conditions.
- Documentation: Maintain thorough documentation of testing strategies, processes, outcomes, and insights, ensuring transparency across the team.
- Mentorship: Offer guidance and support to junior test engineers, cultivating a culture of ongoing learning and innovation.
- Trend Monitoring: Stay informed about emerging trends and technologies in neuromodulation, AI, and software testing, continuously broadening your expertise and knowledge base.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related discipline.
- Proven experience in software testing, with a strong emphasis on full-stack testing and automation.
- Demonstrated expertise in neuromodulation products, showcasing comprehensive knowledge of features, functionalities, and applications.
- Practical experience with AI technologies, including machine learning, natural language processing, and computer vision, as applied to software testing.
- Strong programming capabilities in Python, Java, or other relevant languages, along with experience in mobile application testing (iOS and Android).
- Familiarity with test automation frameworks and tools.
- Exceptional problem-solving and analytical abilities.
- Strong communication and teamwork skills.
- Experience with cloud-based testing environments.
- Knowledge of big data analytics and data visualization tools.
- Contributions to open-source projects or relevant communities.
About Capgemini Engineering
As a global leader in engineering and R&D services, Capgemini Engineering merges extensive industry knowledge with advanced digital and software technologies to facilitate the integration of physical and digital realms. With a workforce of over 55,000 engineers and scientists across more than 30 countries, we support various sectors including Aeronautics, Space, Defense, Automotive, and more.
Capgemini Engineering is a vital component of the Capgemini Group, which is dedicated to partnering with organizations to transform and manage their operations by leveraging technology. Guided by a commitment to harnessing human energy through technology for a sustainable future, the Group employs a diverse team of 340,000 members in over 50 countries.
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