Position: Senior Solutions Architect (Channel)
Overview
Dive in and do the best work of your career rney alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We are looking for a Senior Solutions Architect who is passionate about solving complex cloud infrastructure challenges especially in the fast-growing AI/ML space.
What You’ll Do
As a Senior Solutions Architect supporting Channel Partnerships, with an emphasis on Cloud and AI/ML, you will be a key technical leader working closely with solution partners, resellers, GSIs, and MSPs to enable successful customer outcomes will collaborate with Channel, Sales, Solutions, Technical Account Management, and Engineering teams to solve complex partner-delivered customer challenges through technical excellence. In this role, you will guide partners in designing scalable architectures, modernizing customer environments, and adopting cloud-native solutions.
You will influence technical and delivery decisions, ensuring solutions align with customer business goals while enabling partners to operate independently and will lead technical engagements and ensure successful outcomes through architectural guidance and hands-on collaboration.
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 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 Digital Ocean’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.
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, feature requests, and advocacy with Product and Engineering.
What You’ll Add To Digital Ocean
• 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 (Tensor Flow, PyTorch) and platforms like Hugging Face.
• Experience deploying and fine-tuning LLMs (Deep Seek, Llama, Claude, GPT-4) and GenAI models.
• Strong knowledge of Kubernetes, Linux, distributed systems, NFS, Object Storage, and GPU optimization techniques (CUDA, Tensor
RT).
• Hands-on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment.
• Familiarity with Dev Ops tools (Docker, Terraform, CI/CD pipelines) and modern cloud-native practices.
• Excellent communication skills,…
