The role involves designing and implementing Python-based solutions to optimize storage resource allocation and reduce operational costs. The individual will lead the redesign of storage management platforms to improve user experience and streamline customer onboarding. Responsibilities include developing dashboards for capacity management and predictive analytics, as well as automating storage builds to minimize manual tasks. The position also entails building AI-powered chatbots to support customer inquiries and advancing the product toward agentic AI capabilities. Furthermore, the role requires executing performance testing strategies for control plane APIs and collaborating with cross-functional teams to architect scalable solutions.

Candidates must possess a Master's degree in Computer Science, Computer Engineering, or a related field with three years of relevant experience, or a Bachelor's degree with five years of experience. Required technical expertise includes web-based management platform development, dashboard creation, and UI design using HTML, CSS, and JavaScript. Proficiency in Python, containerization technologies, performance testing tools, and RESTful API frameworks is mandatory. Additionally, the role requires experience with large language model use cases, database management, and version control systems.