Brain Corp

• Develop, and maintain scalable and reliable cloud infrastructure on BrainOS Google Cloud Platform (GCP). • Collaborate with the Applied ML team and R&D team to design and implement efficient cloud services, ensuring high data quality and integrity. • Develop APIs and services to facilitate seamless integration between the sense cloud platform and various web and robotic applications. • Work closely with the web and application teams to understand their requirements and provide technical guidance and support. • Participate in testing activities, including unit testing, integration testing, and system testing, to ensure the reliability, performance, and quality of the cloud platform. • Monitor and optimize cost, performance and reliability of the sense cloud platform, identifying and resolving any issues or bottlenecks. • Stay up-to-date with the latest advancements in cloud technologies, sharing knowledge and best practices with the team. • Assist in other duties and responsibilities as assigned.

• Define and lead the long-term technical vision, strategy, and architectural roadmap for the entire Cloud Platform • Serve as the primary technical authority across all cloud engineering domains, including fleet management, robot-cloud communication, data platforms, developer infrastructure, and customer systems • Drive cross-team technical alignment, ensuring consistency in architecture, tooling, reliability, security, and operational practices • Establish engineering standards, design principles, and platform governance processes across Cloud Platform • Lead major architectural initiatives involving scalability, resilience, observability, security, and developer productivity • Partner with engineering directors, product leadership, and executives to align technical strategy with business priorities • Identify and proactively resolve systemic architectural challenges, technical debt, and organizational bottlenecks • Guide the design and implementation of complex distributed systems supporting robotics products at global scale • Champion and actively drive adoption of GenAI-based tools and workflows across the Cloud Platform organization, embedding them into engineering practices to improve developer productivity, system design, debugging, and operational efficiency • Act as a hands-on technical leader in evolving how the organization builds software, including evaluating, standardizing, and scaling GenAI-assisted engineering practices • Mentor engineers, acting as the technical leadership backbone of the organization • Lead architecture reviews, technical planning, and critical design decisions across multiple teams • Serve as the highest technical escalation point for complex platform, reliability, and production issues • Champion security-first architecture and operational excellence across all cloud systems • Evaluate emerging technologies and industry best practices to continuously evolve platform capabilities • Drive a culture of technical excellence, innovation, accountability, and continuous learning throughout the organization