What You'll Do :

- Lead technical discovery sessions with enterprise customers.

- Design cloud and Kubernetes-based infrastructure solutions.

- Own Proof of Concepts (POCs) from setup through successful deployment.

- Configure and troubleshoot Kubernetes clusters, networking, and virtualization environments.

- Deliver product demonstrations and provide technical guidance throughout the sales cycle.

- Collaborate with Sales, Product, and Engineering teams to ensure successful customer deployments.

- Share customer feedback and technical insights to improve the product.

What We're Looking For :

- 7+ years of experience in Solutions Engineering, Solutions Architecture, Cloud Infrastructure, or DevOps.

- Strong hands-on experience with Kubernetes, Linux, Docker, and cloud platforms (AWS, Azure, or GCP).

- Experience with Infrastructure as Code tools such as Ansible or Terraform.

- Solid understanding of networking, virtualization, and containerized workloads.

- Excellent troubleshooting, communication, and customer-facing skills.

Nice to Have :

- Experience with GPU infrastructure, NVIDIA technologies, CUDA, or AI/ML infrastructure.

- Exposure to Kubernetes GPU scheduling, vLLM, SGLang, or NVIDIA AI Enterprise.

- Certifications such as CKA or NVIDIA AI Infrastructure certifications.

- Startup or early-stage company experience.