Senior Kubernetes Engineer
| Company | Dynamo AI |
|---|---|
| Location | San Francisco, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- 4+ 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
- Design and implement scalable architectures for securely running Dynamo AI in customer Kubernetes environments (EKS, AKS, GKE, on-prem) — powering large-scale, real-world use cases.
- Engage deeply with customers to understand their infrastructure, goals, and constraints — and lead hands-on implementation to get Dynamo AI into production.
- Continuously evolve our core infrastructure to ensure best-in-class performance, scalability, and security.
- Develop next-generation deployment models to enable automated, highly scalable, and repeatable rollouts of Dynamo AI clusters.
- Collaborate across product, engineering, and ML teams to design features and capabilities that solve real customer pain points.
- Serve as a trusted technical advisor during pre-sales conversations and proof-of-concept (POC) deployments.
Preferred Qualifications
- Experience supporting AI/ML infrastructure or ML lifecycle tools is a plus.