- 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.
- Solid 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.