Principal Software Engineer, Cloud

Brain Corp is a San Diego, California, USA-based AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain's robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 40,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures. Named a top workplace by the San Diego Union Tribune and USA today in 2025, we make life-changing impacts through innovation, helping workers globally unlock their abilities in orchestration with intelligent machines. This role can be remote anywhere in the United States or hybrid in our San Diego office Position Overview:  The Principal Software Engineer, Cloud serves as the senior-most technical leader for the entire Cloud Platform team, responsible for defining the architectural direction, technical strategy, and engineering standards across all cloud systems supporting our commercial robotics products. This leader will own the overarching technical vision for the platforms that power robot connectivity, fleet operations, remote management, customer-facing services, internal developer platforms, and large-scale data infrastructure. In this role, you will help shape and scale the cloud infrastructure behind one of the world’s largest commercial autonomous robotic fleets, delivering cutting-edge solutions that operate in real-world environments at significant scale. You will work at the forefront of robotics, distributed systems, cloud-native platforms, and emerging technologies (including modern AI and GenAI-enabled development tools) to drive innovation, operational excellence, and competitive advantage. This role requires deep technical expertise, strategic thinking, and broad organizational influence to ensure cloud investments align with product strategy, technological advancement, and long-term business growth. It offers the opportunity to solve highly complex challenges in robotics and cloud infrastructure while shaping the future of automation through industry-leading technology. Essential Job Functions: 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 Education and/or Work Experience Requirements :  Bachelor’s degree in Computer Science, Software Engineering, or related technical field 12+ years of progressive experience in software engineering, cloud architecture, and large-scale distributed systems Proven success leading technical strategy across multiple cloud engineering teams or large organizations Significant experience architecting and operating enterprise-scale cloud platforms on Google Cloud Platform (GCP) Prior experience in Principal Engineer, Architect, or equivalent high-level technical leadership role Required Knowledge, Skills, Abilities and Other Characteristics :  Expert-level software engineering skills in Go and Python Deep expertise in cloud-native architecture, distributed systems, and platform engineering at organizational scale Extensive knowledge of GCP services, including networking, storage, IAM, observability, security, and infrastructure automation Advanced experience with Kubernetes, Docker, container orchestration, and platform operations Strong expertise in infrastructure-as-code tools such as Terraform, Pulumi, or similar technologies Proven ability to architect and scale highly available, secure, and resilient cloud systems Deep understan