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Senior Solutions Architect – Channel at DigitalOcean | JobVerse
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Senior Solutions Architect – Channel
DigitalOcean
Remote
Website
LinkedIn
Senior Solutions Architect – Channel
Massachusetts, United States of America
Full Time
5 hours ago
$117,600 - $147,000 USD
H1B Sponsor
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Key skills
AWS
Azure
Cloud
Distributed Systems
Docker
Google Cloud Platform
Kubernetes
Linux
NFS
PyTorch
Tensorflow
Terraform
AI
ML
Claude
Llama
TensorFlow
Hugging Face
GCP
Google Cloud
DigitalOcean
CI/CD
Communication
About this role
Role Overview
Act as a trusted technical advisor to channel partners, providing architectural guidance across a broad range of solutions and workloads
Collaborate with Channel Managers, Account Managers, and Technical Account Managers to align on partner-led customer objectives and success plans
Design and present repeatable architectures, delivery patterns, and best practices tailored to partner implementation models
Lead technical deep dives, whiteboarding sessions, and executive briefings in support of partner-led engagements
Drive partner-facing technical workshops, proof-of-concepts, and enablement sessions to accelerate customer adoption
Troubleshoot complex partner-delivered technical challenges, collaborating with Engineering and Support teams to ensure successful outcomes
Influence partner and customer architectures by clearly articulating the value proposition of DigitalOcean’s cloud platform
Advocate for partner and customer needs internally, providing feedback to Product and Engineering teams to enhance platform capabilities
Support workload expansion, customer retention, and long-term channel partner success through proactive technical engagement
Requirements
5+ years of Solutions Architecture, Technical Consulting, or Software Engineering experience
Advanced knowledge of public cloud platforms (AWS, Azure, GCP)
Expertise in AI/ML frameworks (TensorFlow, PyTorch) and platforms like Hugging Face
Experience deploying and fine-tuning LLMs (DeepSeek, Llama, Claude, GPT-4)
Strong knowledge of Kubernetes, Linux, distributed systems, NFS, Object Storage, and GPU optimization techniques
Hands-on experience leveraging vllm and various quantization methods 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
Tech Stack
AWS
Azure
Cloud
Distributed Systems
Docker
Google Cloud Platform
Kubernetes
Linux
NFS
PyTorch
Tensorflow
Terraform
Benefits
Competitive salary
Flexible working hours
Professional development resources
Employee Assistance Program
Local Employee Meetups
Flexible time off policy
Bonus potential based on performance
Equity compensation for eligible employees
Apply Now
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