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Senior Test Architect
2 months ago
Job Location: Plano, Texas
100% onsite
Position Overview
In response to the rapid advancements in the Digital Health sector, we are broadening our service offerings to enhance support for patients, healthcare professionals, and representatives. This role is for a Senior Test Architect who will engage in pioneering technology development that integrates AI within this field.
Key Responsibilities
- Enhancement of Testing Infrastructure: Partner with the software engineering team to assess and refine the current testing infrastructure, pinpointing areas for enhancement and integrating AI-driven tools and frameworks.
- AI Technology Integration: Investigate, assess, and deploy cutting-edge AI technologies to improve 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 profound knowledge of neuromodulation products.
- Test Case Design: Formulate and execute thorough test cases that encompass a variety of product scenarios, utilizing AI to generate intelligent test data and recognize potential edge cases.
- Automation of Testing: Employ AI algorithms to streamline test execution, data collection, and result analysis, ensuring quick feedback loops and facilitating continuous testing methodologies.
- Defect Analysis: Collaborate with cross-functional teams to investigate defects, determine root causes, and implement corrective measures, using AI to reveal patterns and trends in defect data.
- Performance Analysis: Evaluate product performance metrics, applying AI to detect bottlenecks and enhance product functionality under diverse conditions.
- Documentation: Keep meticulous records of testing 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, continually expanding 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 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 platforms.
- Experience with big data analytics and data visualization tools.
- Contributions to open-source projects or relevant communities.
About Capgemini Engineering
Capgemini Engineering is a global leader in engineering and R&D services, combining extensive industry knowledge with advanced digital and software technologies to facilitate the convergence of physical and digital realms. With 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 part of the Capgemini Group, a trusted partner for companies aiming to transform and manage their businesses through technology. With a commitment to fostering an inclusive and sustainable future, Capgemini employs a diverse workforce of 340,000 team members worldwide.