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Brain Corp

Your robotics automation partner powering the most intelligent tools to create more productive workforces.

Senior Staff Software Engineer – Cloud, Technical Lead Manager

Cloud EngineerCloud EngineerFull TimeRemoteSeniorTeam 201-500Since 2009H1B No SponsorCompany SiteLinkedIn

Location

California

Posted

4 days ago

Salary

$213.8K - $267.2K / year

Seniority

Senior

Job Description

Senior Staff Software Engineer – Cloud, Technical Lead Manager

Brain Corp

• 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

Job 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 skills
  • Ability to balance hands-on technical work with people management responsibilities
  • Passion for robotics, automation, and enabling intelligence at scale

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

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