Senior Solutions Architect (Channel)

DigitalOcean

about 1 month ago

San Francisco, CA, USA

Senior

H1B Sponsor

Base Salary

$118k - $147k/yr

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 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.

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, and 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.

Competitive array of benefits including Employee Assistance Program and flexible time off policy.
Reimbursement for relevant conferences, training, and education.
Access to LinkedIn Learning's 10,000+ courses for continued growth and development.
Potential for bonuses based on company and individual performance.
Equity compensation including equity grants upon hire and participation in Employee Stock Purchase Program.

AWSAzureDockerGoogle Cloud PlatformKubernetesLinuxPyTorchTensorFlowTerraform