Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Benefits
- 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
Company Overview
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