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Remote Cloud Solutions Architect (Infra & AI Cloud)

at Lavendo

Posted 4 days ago 1 applied

Description:

  • Our client is a publicly traded company at the forefront of the AI revolution, providing cutting-edge infrastructure that reshapes the landscape of artificial intelligence.
  • They offer an AI-centric cloud platform that empowers Fortune 500 companies, top-tier innovative startups, and AI researchers to drive breakthroughs in AI.
  • The company is committed to building full-stack infrastructure to service the explosive growth of the global AI industry, including large-scale GPU clusters, cloud platforms, tools, and services for developers.
  • The position is for a Cloud Solutions Architect (Pre-Sales) who will work remotely from anywhere in the US.
  • The role involves acting as a trusted advisor to clients, providing technical expertise and guidance throughout engagements, and conducting PoCs, workshops, presentations, and training sessions on GPU cloud technologies and best practices.
  • Responsibilities include collaborating with clients to understand their business requirements, developing solution architectures, designing and documenting Infrastructure as Code solutions, and helping customers optimize pipeline performance and scalability.
  • The architect will serve as a single point of expertise for customer scenarios across product, technical support, and marketing teams, and assist with marketing efforts during events such as hackathons, conferences, and webinars.

Requirements:

  • Candidates must have 5+ years of experience as a cloud solutions architect, system/network engineer, developer, or in a similar technical role focused on cloud computing.
  • Strong hands-on experience with Infrastructure as Code (IaC) and configuration management tools, preferably Terraform/Ansible, Kubernetes, and skills in writing code in Python are required.
  • A solid understanding of GPU computing practices for machine learning training and inference workloads, as well as GPU software stack components, including drivers and libraries (e.g., CUDA, OpenCL), is essential.
  • Candidates should have a solid understanding of the cloud machine learning tools landscape from industry leaders.
  • Legal authorization to work in the U.S. on a full-time basis without visa sponsorship is necessary.

Benefits:

  • The position offers competitive compensation ranging from $180,000 to $300,000 per year, negotiable based on experience and location.
  • A comprehensive benefits package is included, featuring 100% company-paid medical, dental, and vision coverage for employees and their families.
  • The company provides a 401(k) plan with a 4% match program and a stock options plan.
  • Employees enjoy a flexible remote work environment and 20 weeks of paid parental leave for primary caregivers, and 12 weeks for secondary caregivers.
  • Up to $85/month is provided for mobile and internet expenses.
  • Employees will have the opportunity to work with cutting-edge AI and cloud technologies and contribute to sustainable AI infrastructure with energy-efficient data centers.
  • The role allows individuals to be part of a team that operates one of the most powerful commercially available supercomputers.