Senior Kubernetes Engineer

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

Qualifications

• 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.
• Experience supporting AI/ML infrastructure or ML lifecycle tools is a plus.