Job Overview
Location
San Francisco
Job Type
Full-time
Category
Software Engineering
Date Posted
February 24, 2026
Full Job Description
đź“‹ Description
- • Are you a visionary technologist with a passion for artificial intelligence and a knack for crafting robust cloud solutions? Lavendo Inc. is seeking a dynamic Cloud Solutions Architect (Pre-Sales) to join a groundbreaking, publicly traded company at the vanguard of the AI revolution. This is a unique opportunity to leverage your expertise in cloud infrastructure and AI technologies to empower Fortune 500 companies, innovative startups, and leading AI researchers. You will be instrumental in shaping the future of AI by enabling organizations to harness the power of cutting-edge GPU cloud platforms and infrastructure, designed for the immense demands of training and deploying sophisticated AI models.
- • As a Cloud Solutions Architect, you will serve as a critical bridge between our client's advanced AI infrastructure and the diverse needs of their clientele. Your primary role will be to act as a trusted advisor, guiding clients through complex technical challenges and helping them architect solutions that leverage our client's powerful AI-centric cloud platform. This involves deep engagement with clients to understand their specific business objectives, technical environments, and AI workloads. You will translate these requirements into actionable, scalable, and efficient cloud architectures, ensuring clients can maximize the potential of their AI initiatives.
- • A significant part of your role will involve hands-on technical leadership. You will conduct Proofs of Concept (PoCs), lead interactive workshops, deliver compelling presentations, and provide comprehensive training sessions on our client's GPU cloud technologies and best practices. This requires a deep understanding of not only the cloud platform itself but also the intricacies of GPU computing for machine learning training and inference. You'll be expected to articulate the value proposition of our client's infrastructure, showcasing how it can accelerate AI development and deployment.
- • You will be responsible for designing and meticulously documenting Infrastructure as Code (IaC) solutions, ensuring that client deployments are repeatable, manageable, and scalable. This includes creating detailed technical documentation, guides, and how-to resources that empower clients and internal teams. Your expertise will be crucial in helping customers optimize their AI pipeline performance and achieve greater scalability, addressing bottlenecks and ensuring efficient resource utilization.
- • This role demands a proactive and collaborative approach. You will act as a single point of expertise, liaising effectively with product management, technical support, and marketing teams to ensure a cohesive and exceptional client experience. By channeling client feedback and technical insights, you will contribute to product enhancements and strategic decision-making. Furthermore, you will play an active role in marketing initiatives, representing the company at industry events such as hackathons, conferences, and webinars, further solidifying our client's position as a leader in the AI infrastructure space.
- • The ideal candidate possesses a strong foundation in cloud computing principles, coupled with practical experience in IaC tools like Terraform and Ansible, and proficiency in container orchestration with Kubernetes. A solid understanding of Python for scripting and automation is essential. Crucially, you must have a firm grasp of GPU computing paradigms for ML workloads, including familiarity with the GPU software stack, such as CUDA and other relevant libraries. Experience with the broader cloud ML tools landscape from major industry players will be highly advantageous. This role is ideal for a self-starter who thrives in a fast-paced, evolving environment, possesses a strong sense of ownership, and is driven by innovation and a desire to democratize AI infrastructure for all.
- • You will be joining a company committed to building the full-stack infrastructure necessary to support the explosive growth of the global AI industry. This includes managing large-scale GPU clusters, developing sophisticated cloud platforms, and creating essential tools and services for developers. The mission is to make world-class AI infrastructure accessible, enabling organizations of all sizes to achieve their most ambitious AI goals. If you are passionate about cutting-edge technology, thrive on solving complex problems, and want to make a tangible impact on the future of AI, this is the role for you.
🎯 Requirements
- • 5+ years of experience as a cloud solutions architect, system/network engineer, developer, or similar technical role focused on cloud computing.
- • Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, and skills of writing code in Python.
- • Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL).
- • Solid understanding of the cloud ML tools landscape from industry leaders.
- • Legal authorization to work in the U.S. on a full-time basis without visa sponsorship.
🏖️ Benefits
- • Competitive compensation ranging from $225,000 to $315,000 per year (negotiable based on experience and location).
- • Comprehensive benefits package including 100% company-paid medical, dental, and vision coverage for employees and families.
- • 401(k) plan with a 4% match program.
- • Stock options plan.
- • Flexible remote work environment (US-based).
- • Generous paid parental leave (20 weeks for primary caregivers, 12 weeks for secondary caregivers).
- • Monthly stipend for mobile and internet expenses (up to $85/month).
- • Opportunity to work with cutting-edge AI and cloud technologies and contribute to sustainable AI infrastructure.
Skills & Technologies
Python
Kubernetes
Terraform
Senior
Remote
About Lavendo Inc.
Lavendo is a sales‑specialist recruiting firm that connects startups and scaling companies with U.S.‑based sales talent—providing sourcing, pre‑vetting, candidate matching, and hiring support across roles from SDR to Head of Sales to accelerate go‑to‑market hiring.
