We are looking for a Solutions Architect with expertise in cloud infrastructure to support the success and retention of DigitalOcean's high-value customers. 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.
Requirements
- 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
Benefits
- Competitive salary
- Bonus
- Equity compensation
- Employee Assistance Program
- Flexible time off policy
- Local Employee Meetups
- Reimbursement for relevant conferences, training, and education
- Access to LinkedIn Learning's 10,000+ courses
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance
