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Brain Corp

Senior Staff Software Engineer, Cloud AI Infrastructure

Brain Corp
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about 2 hours ago
Remote, United StatesSenior / Staff+

Base Salary

$214k - $267k/yr

Responsibilities

  • Lead a team of cloud software engineers, providing mentorship and guidance.
  • Define and execute the cloud technical roadmap aligned with business goals.
  • Architect and implement scalable systems on Google Cloud Platform.
  • Design and operate ML pipelines for processing large volumes of images.
  • Develop GPU resource management strategies for improved efficiency.
  • Build canary and staging environments for safe deployments.
  • Collaborate with ML, DevOps, and robotics teams on APIs and workflows.
  • Implement Infrastructure-as-Code solutions for automated deployments.
  • Establish cloud observability systems for reliability and security.
  • Drive technical excellence through coding standards and best practices.

Requirements

  • Bachelor’s or Master’s degree in Computer Science or related field.
  • 10+ years of software engineering experience, including 3+ years in cloud architecture.
  • Proven experience with GCP-based ML systems at scale.
  • Expert knowledge of GCP services like GKE, Dataflow, and Vertex AI.
  • Strong proficiency in Go, Python, or TypeScript.
  • Deep understanding of machine learning pipelines and data processing.
  • Experience with containerization and orchestration technologies.
  • Familiarity with infrastructure-as-code tools and CI/CD systems.
  • Strong understanding of security and observability in cloud environments.
  • Excellent problem-solving and leadership skills.

Benefits

  • Discretionary annual target bonus and stock options.
  • 401(k) plan with match and immediate vesting.
  • Comprehensive insurance benefits including medical, dental, and vision.
  • Generous paid time off including flexible vacation and community volunteering.
  • Daily on-site lunch and access to an on-campus gym.
  • Opportunities for team-building events and continuous learning.

Categories

AI & MLBackendData EngineeringDevOps