> Markdown version of [/jobs/ext/600606-solutions-architect-ii](https://www.wearedevelopers.com/jobs/ext/600606-solutions-architect-ii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Solutions Architect II - **Company:** DigitalOcean, LLC - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $150,000.0 - $182,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Bash Shell, Cloud Computing, Cloud Engineering, Nvidia CUDA, Computer Programming, Databases, Continuous Integration, Linux, DevOps, Distributed Systems, Python (Programming Language), Kernel-Based Virtual Machine, PostgreSQL, Machine Learning, MongoDB, MySQL, Network File Systems, Open Source Technology, Oracle (Applications), Recommender Systems, Redis, Cloud Services, Digitalocean, Ansible, Tensorflow, Ruby, Azure Machine Learning, Vagrant, Virtualization Technology, Xen Servers, Scripting, Google Cloud, Chatbots, Pytorch, Saltstack, Large Language Models, Generative AI, Juniper, Git, Kubernetes, Optimization Algorithms, Deployment Automation, HuggingFace, Free and Open-Source Software, Build Tools, TensorRT, Coreos, Cloud Optimization, Puppet, Terraform, GPT, Data Pipelines, Cisco, Docker, Golang - **Published:** June 23, 2026 - **Apply:** https://www.dice.com/job-detail/d4d5727e-0461-4dd0-91f5-4ca0cc0a76be ## About the Role This is an amazing growth opportunity for a highly motivated individual to establish and expand our presence within the region. Technical depth, excellent communication skills, and a self-starter mentality are needed., * Proven professional experience with cloud infrastructure, AI/ML platforms, or equivalent education. * Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with platforms like Hugging Face. * Experience deploying and fine-tuning LLMs (e.g., DeepSeek, Llama, Claude, GPT-4) and GenAI models. * Deep knowledge of Linux, distributed systems, Kubernetes, NFS, Object Storage, and GPU optimization techniques (e.g., CUDA, TensorRT). * Hands-on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment. * Programming/development experience, particularly in building AI-powered applications (e.g., recommendation systems, chatbots). * Experience working in a post-sales or technical consultant role with a focus on AI/ML and cloud solutions. * Knowledge of provisioning, deployment strategies, and tools like Terraform, Kubernetes, and Docker. * Passionate about customer experience and leveraging AI/ML to solve complex business problems. * Track record of developing successful technical solutions, including AI/ML use cases, to address customer challenges. * Ability to balance the demands of multiple stakeholders, define priorities, and set appropriate expectations. * Strong understanding of AI/ML data pipelines, cloud-native databases, and integration strategies. * Passionate about technology, open source projects, and applying cutting-edge AI/ML innovations. * Strong communication skills, with the ability to explain technical AI/ML concepts in clear and concise terms. * Quickly learn DigitalOcean systems and adapt to rapid changes in cloud and AI/ML trends. * Fluency in English. * Highly motivated with a self-starter mentality, ready to tackle AI/ML challenges head-on. Extra Credit: * Cloud certifications are highly desirable (AWS/Google Cloud Platform/Oracle/Azure) * NVIDIA Certifications around GPU and AI/ML * Networking: Cisco/Juniper Certifications * Programming/Scripting: Ruby, Python, Go, Bash * Source Code: Git * Automation: Terraform, Ansible, Chef, Puppet, Saltstack * Virtualization: KVM, Xen * Databases: MongoDB, MySQL, Redis, PostgreSQL * Open Source: CoreOS, Docker, Kubernetes (CKA/CKE), Vagrant * DigitalOcean: API, libraries, services * Linux: RHCSA/RHCE, * We innovate with purpose. You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. ## Description As a Senior Solutions Architect II, you will serve as a technical partner to the success and sales teams. You will perform architecture reviews, proof of concepts, demos, uncover customer technical needs, and demonstrate DigitalOcean's value proposition. Working with AEs, GAM and TAM counterparts, you'll help retain large customers and expand their workloads on DigitalOcean. * Develop deep expertise in the DigitalOcean product portfolio, the evolving cloud landscape, and AI/ML platforms. * Advocate for customers by providing feedback to product teams, overcoming adoption blockers, and driving new feature development. * Offer personalized onboarding assistance and guide customers through their cloud journey, resolving technical blockers. * Design and review architecture tailored to specific business use cases, ensuring optimal solutions for customers. * Implement and oversee infrastructure management best practices to secure and optimize cloud resources. * Identify opportunities for cost reduction and performance improvement, helping customers make data-driven cloud optimization decisions. * Conduct technical consultation sessions, workshops, and training for customers to empower them in managing cloud infrastructure. * Partner with Growth Account Managers and Customer Success Managers to create success plans that ensure customer retention, expansion, and satisfaction. * Provide regular presentations articulating product benefits, functionality, and technical solutions. * 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 GPU workloads using CUDA or TensorRT and build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes and NFS. * Design AI solutions tailored to business needs, manage data pipelines, and integrate databases. * Liaise with Engineering and Support teams to resolve escalations and growth obstacles in a timely fashion. * Identify and drive process improvement opportunities and promote technical best practices across the organization. * Contribute to internal and external documentation, such as "The Navigator's Guide to DO." * Build tools to enhance the experience of Premium Support customers and improve platform usability. * Demonstrate proficiency in DevOps tools like Docker, Terraform, and CI/CD pipelines. * Leverage expertise in Kubernetes, Managed DBaaS, and the DigitalOcean GenAI Platform. * Work both independently and collaboratively with a global team of Solutions Architects, Customer Success Managers, and Account Managers. ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Coffee with Developers: David Heinemeier Hansson](https://www.wearedevelopers.com/videos/875-coffee-with-developers-david-heinemeier-hansson) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How we Build The Software of Tomorrow](https://www.wearedevelopers.com/magazine/120-how-we-build-the-software-of-tomorrow)