Jean English is a seasoned technology leader and software architect with over 15 years of experience specializing in cloud-native solutions, distributed systems, and enterprise software development. Currently based in Austin, Texas, she is passionate about building scalable, resilient, and high-performance applications that solve complex business problems. Jean has a strong track record of leading cross-functional teams, driving technical strategy, and mentoring engineers. She is adept at translating business requirements into robust technical designs and is a proponent of agile methodologies and DevOps practices to foster innovation and efficiency.
Jean English's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Successfully orchestrated the migration of a legacy monolithic application to a microservices architecture on AWS for a major retail client, resulting in a 40% reduction in operational costs and a 60% improvement in deployment frequency.
Designed and implemented a new real-time data processing platform capable of handling over 1 million events per second, enabling advanced analytics and personalized user experiences for a SaaS product.
Authored a well-received book on 'Practical Microservices Architecture' and has been an invited speaker at several international tech conferences, sharing insights on cloud computing and distributed systems.
Grew a high-performing engineering team from 5 to 25 members, establishing best practices for code quality, CI/CD pipelines, and collaborative development, significantly improving team velocity and product stability.
University of North Carolina Wilmington
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CoreWeave is a specialized cloud provider, delivering a massive scale of NVIDIA GPUs on top of a bare-metal infrastructure. They offer high-performance computing solutions tailored for AI/ML workloads, visual effects (VFX), rendering, large language model (LLM) training, and other GPU-intensive tasks. CoreWeave aims to provide superior performance and cost-efficiency compared to traditional hyperscale cloud providers for these specialized applications, offering flexible, on-demand access to compute resources.
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