
1001 - 5000 employees
Founded 2011
☁️ SaaS
SaaS • Cloud Computing
DigitalOcean is a cloud infrastructure provider that offers a suite of products and services for developers to build, deploy, and scale applications. Their platform provides comprehensive tutorials, reference material, and support documentation to assist users in managing resources effectively using their API and CLI tools. With features like Droplets (virtual machines), managed databases, Kubernetes, and a marketplace for third-party applications, DigitalOcean focuses on simplicity and performance. They cater to both individual developers and larger organizations looking for cloud solutions that are easy to implement and manage.
🔥 0 minutes ago
🏄 California – Remote
💵 $100k - $120k / year
⏰ Full Time
🟠 Senior
💻 Solutions Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 0%
Where this job comes from
Posted on DigitalOcean's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

1001 - 5000 employees
Founded 2011
☁️ SaaS
SaaS • Cloud Computing
DigitalOcean is a cloud infrastructure provider that offers a suite of products and services for developers to build, deploy, and scale applications. Their platform provides comprehensive tutorials, reference material, and support documentation to assist users in managing resources effectively using their API and CLI tools. With features like Droplets (virtual machines), managed databases, Kubernetes, and a marketplace for third-party applications, DigitalOcean focuses on simplicity and performance. They cater to both individual developers and larger organizations looking for cloud solutions that are easy to implement and manage.
• Serve as a trusted technical advisor for strategic accounts and partners, focusing on AI/ML and GPU-based workloads • Collaborate with Account Executives, Technical Account Managers, and Partners to develop success plans aligned with business goals • Design, present, and implement scalable architectures, modernization strategies, and AI solutions tailored to customer needs • Lead technical deep dives, workshops, proofs-of-concept, and executive briefings • Guide customers in building scalable AI applications such as chatbots, inference services, and recommendation systems using Kubernetes, NFS, and databases • Optimize AI/ML workloads using high-performance inference engines and quantization methods • Troubleshoot complex technical challenges 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 • Measure technical growth enablement, time-to-value, POC and migration success, and product-feature advocacy
• 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 including TensorFlow and PyTorch and platforms like Hugging Face • Experience deploying and fine-tuning LLMs and other GenAI models using SFT, LoRA, and QLoRA techniques • Strong knowledge of Kubernetes, Linux, distributed systems, NFS, Object Storage, and GPU software ecosystems including CUDA and ROCm • Hands-on experience with vLLM, SGLang, TensorRT, and quantization methods including INT4, INT8, and FP8 • Familiarity with Docker, Terraform, CI/CD pipelines, and modern cloud-native practices • Excellent communication skills, comfortable engaging and presenting to engineers and executives • Proven ability to lead complex technical engagements from discovery and solution design through post-deployment success • Strong consultative approach to identifying customer needs and crafting tailored cloud solutions aligned with business objectives
• Annual bonus plan eligibility, with bonus amounts dependent on company and individual performance • Potential new hire equity grant, subject to plan terms and local eligibility • Potential participation in Employee Stock Purchase Program in participating countries • Flexible time off • Local team meetups • Mental health and well-being support • Reimbursement for relevant conferences, training, and education, subject to company policy • Professional development resources • Remote work
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