
201 - 500 employees
Founded 2009
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
💰 $36M Series D on 2020-04
Artificial Intelligence • SaaS • Enterprise
Brain Corp is a leading company in the field of AI robotics, focusing on developing autonomous mobile robots that enhance safety and efficiency across various industries. Founded in 2009, Brain Corp's flagship platform, BrainOS, powers a vast fleet of robots used for tasks such as floor cleaning, inventory management, and remote site management. The company's solutions are widely adopted in retail, warehousing, education, and healthcare, among others, delivering advanced robotic and AI applications at scale. Brain Corp partners with leading original equipment manufacturers (OEMs) to offer innovative robotic solutions that transform operation practices globally.
🔥 0 minutes ago
Cloud
Distributed Systems
Docker
Google Cloud Platform
Kafka
Kubernetes
Linux
Microservices
Python
Terraform
Go
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201 - 500 employees
Founded 2009
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
💰 $36M Series D on 2020-04
Artificial Intelligence • SaaS • Enterprise
Brain Corp is a leading company in the field of AI robotics, focusing on developing autonomous mobile robots that enhance safety and efficiency across various industries. Founded in 2009, Brain Corp's flagship platform, BrainOS, powers a vast fleet of robots used for tasks such as floor cleaning, inventory management, and remote site management. The company's solutions are widely adopted in retail, warehousing, education, and healthcare, among others, delivering advanced robotic and AI applications at scale. Brain Corp partners with leading original equipment manufacturers (OEMs) to offer innovative robotic solutions that transform operation practices globally.
• 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
• 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 • 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 understanding of APIs, microservices, event-driven systems, and messaging technologies such as Pub/Sub or Kafka • Strong Linux systems expertise, including networking, security, systems operations, and troubleshooting • Exceptional strategic thinking and technical decision-making abilities • Excellent leadership, communication, and cross-functional collaboration skills • Demonstrated ability to influence technical direction across organizational boundaries • Strong mentoring capabilities for senior engineers and technical leaders • Demonstrated ability to build and lead teams using GenAI tooling and workflows, fostering a culture of GenAI adoption across the software development lifecycle
• A discretionary annual target bonus • Stock options • 401(k) plan with match (no waiting period and immediate vesting) • Comprehensive suite of insurance benefits for employees (and their families) to include a variety of medical plan options (including an HSA with employer contribution), dental, vision, life and disability insurance, Employee Assistance Program (EAP), Legal/Identity support plans, pet insurance. • Access to Flexible Spending Accounts (Medical and Dependent Care) • Generous paid time off including flexible vacation, Paid Sick Leave, time off for volunteering in the community, 10 paid company holidays, and a winter company shutdown • Daily on-site lunch available in the San Diego office • On-campus gym including pool and tennis courts in the San Diego office • Opportunities to connect with colleagues including monthly game nights, hikes, wellness challenges, and community events • Internal continuous learning events • Opportunities to share your own interests and hobbies with the Company
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