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Lead Test Architect
2 months ago
Job Location: Plano, Texas
Position Overview
In the pursuit of driving substantial growth within the Digital Health sector, we are enhancing our capabilities across various domains to assist patients, healthcare professionals, and representatives. This role is designed for a Senior Test Architect who will be integral in advancing next-generation technology solutions that leverage AI in this field.
Key Responsibilities
- Test Infrastructure Improvement: Partner with the software engineering team to assess and refine the current test infrastructure, pinpointing opportunities for enhancement and integrating AI-driven tools and frameworks.
- AI Technology Implementation: Investigate, assess, and deploy cutting-edge AI technologies to elevate test automation, data analysis, and defect identification processes, thereby enhancing efficiency and precision.
- Training Development: Create comprehensive training materials and programs that empower test engineers with extensive knowledge of neuromodulation products.
- Test Case Design: Formulate and execute thorough test cases that encompass a diverse array of product scenarios, utilizing AI to generate intelligent test data and uncover potential edge cases.
- Automation of Testing: Utilize AI algorithms to streamline test execution, data collection, and result analysis, ensuring rapid feedback cycles and facilitating continuous testing methodologies.
- Defect Analysis Collaboration: Work alongside cross-functional teams to evaluate defects, determine root causes, and implement corrective measures, applying AI to reveal patterns and trends in defect data.
- Performance Analysis: Examine product performance metrics, employing AI to identify bottlenecks and enhance product functionality under varying conditions.
- Documentation Maintenance: Keep meticulous records of test strategies, procedures, outcomes, and insights, ensuring transparency across the team.
- Mentorship: Offer guidance and mentorship to junior test engineers, nurturing 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 skill set 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 use cases.
- Practical experience with AI technologies, including machine learning, natural language processing, and computer vision, as applied to software testing.
- Strong programming proficiency in Python, Java, or other relevant languages, 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 platforms.
- 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 innovative technologies in digital and software to facilitate the convergence of physical and digital realms. With a team of over 55,000 engineers and scientists across more than 30 countries, we support various sectors including Aeronautics, Space, Defense, Automotive, and Life Sciences.
Capgemini Engineering is a vital component of the Capgemini Group, a worldwide leader in partnering with organizations to transform and manage their businesses by harnessing technology's potential. Guided by our mission to unleash human energy through technology for a sustainable future, we are a diverse group of 340,000 team members in over 50 countries.