Overview
As a Senior Solutions Architect at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. You will lead technical engagements in support of channel partners, guiding them through architecture design, modernization initiatives, and cloud-native transformations for their customers. You will design, validate, and optimize cloud solutions that are scalable, reliable, and aligned with partner delivery models and customer needs. You will collaborate with Channel, Sales, Solutions, Technical Account Management, Product, Engineering, and Operations teams to ensure feedback from partner engagements informs continuous improvement of DigitalOcean's products and services. You will build trusted partner relationships, influence delivery standards, and position DigitalOcean as the preferred cloud platform for channel-delivered solutions.
Responsibilities
* 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 to support partner-led engagements.
* Drive partner-facing technical workshops, proofs-of-concept, and enablement sessions to accelerate customer adoption.
* Troubleshoot complex partner-delivered technical challenges 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 to enhance platform capabilities.
* Support workload expansion, customer retention, and long-term partner success through proactive technical engagement.
Key Metrics
* Technical Growth Enablement - Design and deliver solutions that unlock new workloads, increase platform adoption, and expand strategic channel partnerships.
* Reduction in Time-to-Value - Acceleration of onboarding of channel partners, POCs, and migrations for strategic accounts.
* POC & Migration Success Rate - Percentage of proofs-of-concept and migrations completed on time and meeting defined success criteria.
* Product & Feature Advocacy - Measurable impact on product improvements through feedback and advocacy with Product and Engineering.
Qualifications
* 5+ years of Solutions Architecture, Technical Consulting, or Software Engineering experience, with a track record in pre-sales and solution strategy.
* Advanced knowledge of public cloud platforms (AWS, Azure, GCP), with experience designing solutions in multi-cloud or hybrid cloud architectures.
* Expertise in AI/ML frameworks (TensorFlow, PyTorch) and platforms like Hugging Face.
* Experience deploying and fine-tuning LLMs (DeepSeek, Llama, Claude, GPT-4) and GenAI models.
* Strong knowledge of Kubernetes, Linux, distributed systems, NFS, Object Storage, and GPU optimization techniques (CUDA, TensorRT).
* Hands-on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, FP8) 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 that align with business objectives.
* Active participation in cloud-native or developer communities, including presenting at meetups, conferences, or contributing to forums.
* Published technical content such as blogs, whitepapers, solution guides, or documentation on cloud architecture or modernization strategies.
* Familiarity with partner ecosystems and integration strategies, working with ISVs, technology alliances, or channel partners to deliver joint solutions.
* Advanced AI/ML and GPU certifications from major providers (e.g., NVIDIA, AMD).
* Hands-on experience building internal tools, automation scripts, or frameworks that streamline cloud migrations, deployment workflows, or architectural best practices.
Benefits & Culture
* Dive in and do the best work of your career at DigitalOcean. Join a community of top talent focused on simple, scalable cloud.
* Career development and learning resources, including conference reimbursements and access to LinkedIn Learning.
* Competitive benefits, time off policies, and programs to support well-being and flexibility.
* Equity compensation and potential eligibility for an Employee Stock Purchase Program.
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.
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