Senior Solution Architect
| Company | Dynamo AI |
|---|---|
| Location | San Francisco, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- 5+ years experience in solution architecture, DevOps, or cloud engineering roles.
- 2+ years experience directly working with customers.
- Great expertise of Kubernetes, Helm, and containerized application delivery.
- Hands-on experience with AWS, Azure, or GCP, and hybrid/cloud-native deployment models.
- Familiarity with authentication/authorization systems (e.g., Keycloak) and network security.
- Strong communication skills with the ability to lead customer discussions and deployment.
- Comfort navigating between technical and business audiences.
Responsibilities
- Collaborate with customers to understand their architecture, constraints, and goals.
- Design integration architectures for running Dynamo AI securely in customer Kubernetes clusters (EKS, AKS, GKE, on-prem).
- Guide customers through deployment, configuration, and scaling of the platform.
- Work with internal teams to translate customer needs into product features.
- Develop architecture diagrams, deployment templates, and technical documentation.
- Act as a technical advisor during pre-sales conversations and POCs.
- Participate in customer onboarding, training, and solution validation.
- Provide feedback to engineering teams on deployment patterns, platform gaps, and customer requests.
Preferred Qualifications
- Experience supporting AI/ML infrastructure or ML lifecycle tools is a plus.