DigitalOcean

The cloud ☁️ of choice for developers, startups, and growing digital businesses around the world.

Senior Solutions Architect – Channel

Solutions EngineerSolutions EngineerFull TimeRemoteTeam 1,001-5,000Since 2011H1B SponsorCompany SiteLinkedIn

Location

Colorado

Posted

9 days ago

Salary

$117.6K - $147K / year

5 yrs expEnglishAWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformKubernetesLinuxNFSPy TorchTensorflowTerraform

Job Description

• 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

Job 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

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

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