Senior Staff Software Engineer - Cloud (Technical Lead Manager)

Brain Corp; San Diego (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Annual target bonus

Stock options

401(k) plan with match

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

Employee Assistance Program (EAP)

Legal/Identity support plans

Pet insurance

Flexible Spending Accounts

Paid time off

Paid Sick Leave

Volunteer time off

Company holidays

Winter company shutdown

On-site lunch

On-campus gym

Job summary

Brain Corp in San Diego is seeking a senior cloud engineering leader to guide a team of cloud engineers. You will design high-availability systems on GCP for a global fleet of autonomous robots and architect scalable ML pipelines and cloud services while balancing hands-on technical work with people management.

Candidates should hold a Bachelor's or Master's in Computer Science with 10+ years of software development and 3+ years in technical leadership, with proven expertise in designing

Qualifications

• Requires a Bachelor's or Master's degree in Computer Science or related field with 10+ years of software engineering experience.
• 3+ years of technical leadership and proven expertise in designing GCP-based ML systems at scale.

Responsibilities

• Lead and manage a team of cloud engineers to design and develop high-availability systems on GCP for a global fleet of autonomous robots.
• Architect scalable ML pipelines and cloud services while balancing hands-on technical implementation with people management.

Skills

Google Cloud Platform

Distributed Systems

Machine Learning Pipelines

Go

Python

TypeScript

Kubernetes

Docker

Terraform

Pulumi

MLOps

GPU Resource Management

Technical Leadership

People Management

API Design

Cloud Observability

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Kubernetes

Docker

Terraform

Pulumi

Job description

Lead and manage a team of cloud engineers to design and develop high-availability systems on GCP for a global fleet of autonomous robots. Architect scalable ML pipelines and cloud services while balancing hands-on technical implementation with people management.

Requirements

Requires a Bachelor's or Master's degree in Computer Science or a related field with over 10 years of software engineering experience. Candidates must have 3+ years of technical leadership and proven expertise in designing GCP-based ML systems at scale.

Key Skills

• Google Cloud Platform
• Distributed Systems
• Machine Learning Pipelines
• Go
• Python
• TypeScript
• Kubernetes
• Docker
• Terraform
• Pulumi
• MLOps
• GPU Resource Management
• Technical Leadership
• People Management
• API Design
• Cloud Observability

Benefits

• Annual target bonus
• Stock options
• 401(k) plan with match
• Medical insurance
• Dental insurance
• Vision insurance
• Life insurance
• Disability insurance
• Employee Assistance Program (EAP)
• Legal/Identity support plans
• Pet insurance
• Flexible Spending Accounts
• Paid time off
• Paid Sick Leave
• Volunteer time off
• Company holidays
• Winter company shutdown
• On-site lunch
• On-campus gym