Brain Corp
AI
SeniorStaffSoftwareEngineerCloud
“Senior Staff Software Engineer - Cloud at Brain Corp. Skills: Cloud platform, Machine learning systems, Robotics platform, Data ingestion. Lead and manage cloud engineers. Provide technical mentorship”
Industry & Context.
Problem-solving
Sitting for periods, Walking for periods, Standing for periods, Operating computer, Use of hands, Talk and hear, Visual acuity, Push or pull 20 pounds
What They're Looking For.
Must Have
Bachelor's or Master's degree, 10+ years software engineering, 3+ years cloud architecture, 3+ years technical leadership, Proven GCP ML systems experience
Nice to Have
Experience in robotics data pipelines, Experience in fleet management, Experience in IoT-scale data ingestion, Experience self-hosting ML inference, Vertex AI experience, Kubeflow experience, TensorFlow Serving experience, Event-driven architectures experience, Message streaming experience, SOC2/ISO27001-compliant systems experience, Secure cloud practices experience, Agile methodologies familiarity, Modern DevOps culture familiarity
What You'll Do.
Lead and manage cloud engineers
Provide technical mentorship
Provide career guidance
Define cloud technical roadmap
Execute cloud technical roadmap
Architect high-availability systems
Implement high-availability systems
Architect scalable systems
Implement scalable systems
Architect secure systems
Implement secure systems
Support machine learning workloads
Support data ingestion
Enable model iteration
Enable model deployment
Develop GPU resource strategies
Optimize GPU resource strategies
Improve model serving throughput
Improve model serving latency
Improve model serving cost
Build canary environments
Build staging environments
Ensure safe deployments
Ensure progressive deployments
Ensure system resilience
Collaborate with ML teams
Collaborate with DevOps teams
Collaborate with robotics teams
Define operational workflows
Implement Infrastructure-as-Code
Ensure repeatable deployments
Ensure automated deployments
Establish cloud observability systems
Maintain cloud observability systems
Ensure security compliance
Drive technical excellence
Promote best practices
Stay current with GCP advancements
Stay current with ML infrastructure advancements
Stay current with MLOps advancements
Improve platform capabilities
Improve team practices
How You'll Work.
Team & Collaboration
ML engineers; Data scientists; Infrastructure teams; DevOps teams; Robotics teams
Communication Scope
Technical leadership; People management
Process & Methodology
Roadmap planning
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