> Markdown version of [/jobs/ext/3595337-sr-solutions-engineer](https://www.wearedevelopers.com/jobs/ext/3595337-sr-solutions-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Solutions Engineer - **Company:** RAFAY CORPORATION - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Distributed Systems, Linux System Administration, Networking Basics, Prometheus, Virtualization Technology, Delivery Pipeline, Grafana, Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Slurm, Hardware Infrastructure, VLLM, Model Inference, Terraform - **Published:** October 6, 2026 - **Apply:** https://www.thejobnetwork.com/job/389a405a-85b3-4092-a1ba-c2b2e1c14d45/sr-solutions-engineer ## About the Role Rafay seeks a customer-focused, technically skilled Senior Solutions Engineer.. The role involves partnering with enterprise customers/Neo clouds to architect, deploy, and optimize cloud-native infrastructure using the Rafay platform and Kubernetes ecosystems, including GPU-accelerated environments for AI/ML and inference workloads., * 8+ years of experience in customer-facing technical roles, including implementation or consulting \n * Hands-on AI/ML engineering experience with model inference and deployment workflows \n * Hands-on experience with NVIDIA GPU infrastructure (H100/H200/B200 preferred) \n * Familiarity with GPU Operator, MIG, SR-IOV, and GPU fabric/networking fundamentals \n * Experience with LLM inference serving frameworks such as vLLM, TGI, or Triton \n * Strong Kubernetes and cloud-native environment expertise \n * Excellent written and verbal communication abilities \n * Deep troubleshooting skills across networking, virtualization, container orchestration, and public cloud platforms \n * Infrastructure automation and IaC (Terraform preferred) experience desired \n * Linux systems administration and distributed systems knowledge \n * Proven ability to lead technical projects and manage multiple engagements \n * Bachelor's degree in Computer Science, Engineering, IT, or equivalent experience \n, * Experience with Run:AI and Slurm for GPU scheduling \n * GPU autoscaling and multi-tenant GPU isolation expertise