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About the Role

DigitalOcean is seeking a Solutions Architect with expertise in cloud infrastructure to support the success and retention of high-value customers. You will act as the technical subject matter expert, advising on best practices and guiding customers to optimal solutions. This role involves collaborating with Customer Success, Sales, Support, Product, Engineering, and Operations teams to ensure customer needs are met and feedback is incorporated into product development. This is a growth opportunity to establish and expand the company's presence in the region, requiring technical depth, excellent communication, and a self-starter mentality.

Responsibilities

Serve as a technical partner to success and sales teams.
Perform architecture reviews, proof of concepts, and demos.
Uncover customer technical needs and demonstrate DigitalOcean's value proposition.
Help retain large customers and expand their workloads on DigitalOcean.
Develop deep expertise in the DigitalOcean product portfolio, 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.
Design and review architectures tailored to specific business use cases.
Implement and oversee infrastructure management best practices.
Identify opportunities for cost reduction and performance improvement.
Conduct technical consultation sessions, workshops, and training for customers.
Partner with Growth Account Managers and Customer Success Managers to create success plans.
Provide regular presentations articulating product benefits, functionality, and technical solutions.
Demonstrate strong expertise in AI/ML frameworks like TensorFlow and PyTorch and platforms like Hugging Face.
Optimize GPU workloads using CUDA or TensorRT and build scalable AI applications 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.
Identify and drive process improvement opportunities and promote technical best practices.
Contribute to internal and external documentation.
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 independently and collaboratively with a global team.

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.

Skills

Cloud infrastructure
AI/ML platforms
TensorFlow
PyTorch
Hugging Face
LLMs
GenAI models
Linux
Distributed systems
Kubernetes
NFS
Object Storage
GPU optimization
CUDA
TensorRT
vllm
Quantization methods
AI-powered applications
Recommendation systems
Chatbots
Terraform
Docker
CI/CD pipelines
Managed DBaaS
DigitalOcean GenAI Platform
Data pipelines
Cloud-native databases
Open source
Ruby
Python
Go
Bash
Git
Ansible
Chef
Puppet
Saltstack
KVM
Xen
MongoDB
MySQL
Redis
PostgreSQL
CoreOS
Vagrant
DigitalOcean API
DigitalOcean libraries
DigitalOcean services
RHCSA/RHCE

Location

Remote

Work Type

Remote
Full-time

Experience Level

Senior

Education Level

Cloud certifications (AWS/GCP/Oracle/Azure)
NVIDIA Certifications
Networking certifications (Cisco/Juniper)
Linux certifications (RHCSA/RHCE)

Salary/Compensations

Base: $150,000 - $182,000
Target OTE: $200,000 - 240,000

Benefits

Employee Assistance Program
Local Employee Meetups
Flexible time off policy
Reimbursement for relevant conferences, training, and education
Access to LinkedIn Learning's 10,000+ courses
Competitive benefits
Bonus potential
Equity compensation
Equity grants upon hire
Employee Stock Purchase Program

About the Company

DigitalOcean is a cutting-edge technology company simplifying cloud and AI so builders can spend more time creating software that changes the world.
The company fosters a culture of innovation, collaboration, and ownership, encouraging employees to think big, act decisively, and take responsibility.
They prioritize career development, offering opportunities to work with talented individuals and providing resources for continuous growth, including conference and training reimbursements and access to LinkedIn Learning.

Equal Opportunity

DigitalOcean is an equal-opportunity employer.
We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.