DigitalOcean
Senior Solutions Architect II (Strategic Accounts & Partnerships)
DigitalOcean, San Francisco, California, United States, 94199
Overview
Senior Solutions Architect II (Strategic Accounts & Partnerships) at DigitalOcean. This role focuses on AI/ML and GPU-based workloads, acting as a technical leader to drive innovation, cloud adoption, and long-term success for strategic customers and partners. Responsibilities
Act as a trusted technical advisor for strategic accounts and partners, with a focus on AI/ML and GPU-based workloads. Collaborate with Account Managers, Technical Account Managers, and Partners to develop success plans aligned to business goals. Design, present, and implement scalable architectures, modernization strategies, and AI solutions tailored to customer needs. Lead technical deep dives, workshops, proof-of-concepts, and executive briefings to accelerate adoption. Demonstrate strong expertise in AI/ML frameworks like TensorFlow and PyTorch and usage of platforms like Hugging Face, with experience deploying and fine-tuning LLMs and GenAI models. Optimize AI/ML workloads using tools like CUDA, TensorRT, vllm, and quantization methods (INT4, INT8, FP8). Educate customers to build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes, NFS, and databases. Demonstrate proficiency in DevOps tools like Docker, Terraform, and CI/CD pipelines. Troubleshoot complex technical challenges in partnership with Engineering, Support, and Product teams. Provide customer feedback to shape product roadmaps and enhance platform capabilities. Support workload expansion, retention, and long-term partnership growth through proactive technical engagement. Qualifications
7+ years of Solutions Architecture, Technical Consulting, or Software Engineering experience, with a track record in pre-sales and solution strategy. Deep expertise in AI/ML frameworks (TensorFlow, PyTorch) and platforms like Hugging Face. Experience deploying and fine-tuning LLMs (DeepSeek, Llama, Claude, GPT-4) and GenAI models. Strong knowledge of Kubernetes, Linux, distributed systems, NFS, Object Storage, and GPU optimization techniques (CUDA, TensorRT). Hands-on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment. Familiarity with DevOps tools (Docker, Terraform, CI/CD pipelines) and modern cloud-native practices. Excellent communication skills, comfortable engaging and presenting to both engineers and executives. Proven ability to lead complex technical engagements from discovery and solution design to post-deployment success. Strong consultative approach, capable of identifying customer needs and crafting tailored cloud solutions that align with business objectives. Preferred
Contributions to open-source or technical communities related to AI/ML, cloud infrastructure, DevOps, or cloud-native technologies. Advanced knowledge of public cloud platforms (AWS, Azure, GCP), with experience designing solutions in multi-cloud or hybrid cloud architectures. Advanced AI/ML and GPU certifications from major providers like NVIDIA and AMD. Hands-on experience building internal tools, automation scripts, or frameworks that streamline cloud migrations, deployment workflows, or architectural best practices. Active participation in cloud-native or developer communities, including presenting at meetups, conferences, or contributing to forums. Published technical content such as blogs, whitepapers, solution guides, or documentation on cloud architecture, modernization strategies, or technical thought leadership. Familiarity with partner ecosystems and integration strategies, working with ISVs, technology alliances, or channel partners to deliver joint solutions. Why You’ll Like Working for DigitalOcean
We innovate with purpose. You’ll be part of a cutting-edge technology company with an upward trajectory, simplifying cloud and AI so builders can focus on creating software that changes the world. We prioritize career development. Access to resources for growth, conference reimbursement, training, LinkedIn Learning, and a high-performance culture that challenges you to think big. We care about well-being. Competitive benefits, Employee Assistance Program, local meetups, flexible time off, and benefits vary by location. We reward our employees. Salary range reported as $177,360 - $221,700, with potential bonus and equity compensation; eligible for Employee Stock Purchase Program. We value diversity and inclusion. We are an equal-opportunity employer and do not discriminate on various protected characteristics. This is a remote role. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: Internet Publishing Referrals increase your chances of interviewing at DigitalOcean by 2x
#J-18808-Ljbffr
Senior Solutions Architect II (Strategic Accounts & Partnerships) at DigitalOcean. This role focuses on AI/ML and GPU-based workloads, acting as a technical leader to drive innovation, cloud adoption, and long-term success for strategic customers and partners. Responsibilities
Act as a trusted technical advisor for strategic accounts and partners, with a focus on AI/ML and GPU-based workloads. Collaborate with Account Managers, Technical Account Managers, and Partners to develop success plans aligned to business goals. Design, present, and implement scalable architectures, modernization strategies, and AI solutions tailored to customer needs. Lead technical deep dives, workshops, proof-of-concepts, and executive briefings to accelerate adoption. Demonstrate strong expertise in AI/ML frameworks like TensorFlow and PyTorch and usage of platforms like Hugging Face, with experience deploying and fine-tuning LLMs and GenAI models. Optimize AI/ML workloads using tools like CUDA, TensorRT, vllm, and quantization methods (INT4, INT8, FP8). Educate customers to build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes, NFS, and databases. Demonstrate proficiency in DevOps tools like Docker, Terraform, and CI/CD pipelines. Troubleshoot complex technical challenges in partnership with Engineering, Support, and Product teams. Provide customer feedback to shape product roadmaps and enhance platform capabilities. Support workload expansion, retention, and long-term partnership growth through proactive technical engagement. Qualifications
7+ years of Solutions Architecture, Technical Consulting, or Software Engineering experience, with a track record in pre-sales and solution strategy. Deep expertise in AI/ML frameworks (TensorFlow, PyTorch) and platforms like Hugging Face. Experience deploying and fine-tuning LLMs (DeepSeek, Llama, Claude, GPT-4) and GenAI models. Strong knowledge of Kubernetes, Linux, distributed systems, NFS, Object Storage, and GPU optimization techniques (CUDA, TensorRT). Hands-on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment. Familiarity with DevOps tools (Docker, Terraform, CI/CD pipelines) and modern cloud-native practices. Excellent communication skills, comfortable engaging and presenting to both engineers and executives. Proven ability to lead complex technical engagements from discovery and solution design to post-deployment success. Strong consultative approach, capable of identifying customer needs and crafting tailored cloud solutions that align with business objectives. Preferred
Contributions to open-source or technical communities related to AI/ML, cloud infrastructure, DevOps, or cloud-native technologies. Advanced knowledge of public cloud platforms (AWS, Azure, GCP), with experience designing solutions in multi-cloud or hybrid cloud architectures. Advanced AI/ML and GPU certifications from major providers like NVIDIA and AMD. Hands-on experience building internal tools, automation scripts, or frameworks that streamline cloud migrations, deployment workflows, or architectural best practices. Active participation in cloud-native or developer communities, including presenting at meetups, conferences, or contributing to forums. Published technical content such as blogs, whitepapers, solution guides, or documentation on cloud architecture, modernization strategies, or technical thought leadership. Familiarity with partner ecosystems and integration strategies, working with ISVs, technology alliances, or channel partners to deliver joint solutions. Why You’ll Like Working for DigitalOcean
We innovate with purpose. You’ll be part of a cutting-edge technology company with an upward trajectory, simplifying cloud and AI so builders can focus on creating software that changes the world. We prioritize career development. Access to resources for growth, conference reimbursement, training, LinkedIn Learning, and a high-performance culture that challenges you to think big. We care about well-being. Competitive benefits, Employee Assistance Program, local meetups, flexible time off, and benefits vary by location. We reward our employees. Salary range reported as $177,360 - $221,700, with potential bonus and equity compensation; eligible for Employee Stock Purchase Program. We value diversity and inclusion. We are an equal-opportunity employer and do not discriminate on various protected characteristics. This is a remote role. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: Internet Publishing Referrals increase your chances of interviewing at DigitalOcean by 2x
#J-18808-Ljbffr