Cloud Solutions Architect - Pre-Sales

February 11

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Lavendo

Lavendo is a premier go-to-market (GTM) and tech sales recruiting firm based in Silicon Valley. The company specializes in building winning sales teams for startups and enterprises by providing top-performing candidates that fit the company's culture and needs. Lavendo offers a range of recruiting services with no upfront payment, promising a quick time-to-hire and a high retention rate for placed candidates. With a flat, transparent recruiting fee, Lavendo caters to a variety of sales roles from entry-level to executive positions. The firm is committed to a thorough recruitment process, ongoing support, and providing value through a strong network of tech professionals.

Recruiting β€’ Sales β€’ Remote work β€’ Startups β€’ Consulting

πŸ“‹ Description

β€’ Act as a trusted advisor to clients, providing technical expertise and guidance throughout engagements β€’ Conduct PoCs, workshops, presentations, and training sessions on GPU cloud technologies and best practices β€’ Collaborate with clients to understand their business requirements and develop solution architectures β€’ Design and document Infrastructure as Code solutions, technical documentation, and how-tos β€’ Help customers optimize pipeline performance and scalability β€’ Serve as a single point of expertise for customer scenarios across product, technical support, and marketing teams β€’ Assist with marketing efforts during events such as hackathons, conferences, and webinars

🎯 Requirements

β€’ 5+ years of experience as a cloud solutions architect, system/network engineer, developer, or similar technical role focused on cloud computing β€’ Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, and Python coding skills β€’ Solid understanding of GPU computing practices for ML training and inference workloads β€’ Excellent communication skills and a customer-centric mindset β€’ Hands-on experience with HPC/ML orchestration frameworks and deep learning frameworks β€’ Solid understanding of the cloud ML tools landscape from industry leaders

πŸ–οΈ Benefits

β€’ Competitive compensation ranging from $180,000 to $300,000 per year (negotiable based on experience and location) β€’ Comprehensive benefits package including 100% company-paid medical, dental, and vision coverage for employees and families β€’ 401(k) plan with a 4% match program β€’ Stock options plan β€’ Flexible remote work environment β€’ 20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers β€’ Up to $85/month for mobile and internet β€’ Opportunity to work with cutting-edge AI and cloud technologies β€’ Contribute to sustainable AI infrastructure with energy-efficient data centers β€’ Be part of a team that operates one of the most powerful commercially available supercomputers

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