Senior Staff Software Engineer - Cloud (Technical Lead Manager)

Brain Corp is an AI company based in San Diego, California, focused on creating transformative technology for the robotics industry. The Senior Staff Software Engineer - Cloud (Technical Lead Manager) will lead a team of cloud engineers and oversee the design and development of high-availability systems for the company’s cloud platform, connecting autonomous robots and supporting machine learning pipelines.

Responsibilities:

• Lead and manage a team of cloud software engineers, providing technical mentorship, career guidance, and performance management
• Define and execute the cloud technical roadmap, ensuring alignment with Brain Corp’s business and product goals
• Architect and implement high-availability, scalable, and secure systems on Google Cloud Platform (GCP) to support machine learning workloads and data ingestion at scale
• Design, build, and operate ML pipelines that process hundreds of thousands of images daily, enabling rapid model iteration and deployment
• Develop and optimize GPU resource management strategies, improving model serving throughput, latency, and cost efficiency
• Build canary and staging environments to ensure safe, progressive deployments and system resilience
• Collaborate cross-functionally with ML, DevOps, and robotics teams to define APIs, data models, and operational workflows for cloud–robot communication
• Implement Infrastructure-as-Code (IaC) solutions using Pulumi, Terraform, or equivalent, ensuring repeatable and automated deployments
• Establish and maintain cloud observability systems, ensuring reliability, performance, and security compliance
• Drive technical excellence, setting coding standards, reviewing designs, and promoting best practices in distributed systems and cloud ML architectures
• Stay current with advancements in GCP, ML infrastructure, and MLOps to continuously improve platform capabilities and team practices

Requirements:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
• 10+ years of professional software engineering experience, including 3+ years in cloud architecture or large-scale distributed systems
• 3+ years of technical leadership or management experience, preferably in a Technical Lead Manager or team lead capacity
• Proven experience designing and operating GCP-based ML systems at scale
• Expert-level knowledge of Google Cloud Platform (GCP) services such as GKE, Dataflow, BigQuery, Cloud Run, Pub/Sub, Vertex AI, and Cloud Storage
• Strong proficiency in Go, Python, or TypeScript, with an emphasis on maintainable, production-quality code
• Deep understanding of machine learning pipelines: data ingestion, preprocessing, training, deployment, and inference
• Experience optimizing GPU workloads, autoscaling, and resource scheduling in cloud environments
• Proven success in designing high-availability and fault-tolerant distributed systems
• Hands-on experience with containerization and orchestration technologies (Docker, Kubernetes)
• Familiarity with infrastructure-as-code tools (Pulumi, Terraform) and CI/CD systems (e.g., Jenkins, GitHub Actions)
• Strong understanding of security, networking, and observability in cloud environments
• Excellent problem-solving, communication, and leadership skills
• Ability to balance hands-on technical work with people management responsibilities
• Passion for robotics, automation, and enabling intelligence at scale
• Experience in robotics data pipelines, fleet management, or IoT-scale data ingestion
• Experience self-hosing ML inference
• Hands-on experience with Vertex AI, Kubeflow, or TensorFlow Serving in production
• Background in event-driven architectures and message streaming (e.g., Pub/Sub, Kafka)
• Experience with SOC2/ISO27001-compliant systems and secure cloud practices
• Familiarity with Agile methodologies and modern DevOps culture