Senior Solutions Architect, Networking and Compute Infrastructure

What You'll Do

• will include building AI/HPC infrastructure for new and existing customers.
• Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, real-time monitoring, logging, and alerting.
• Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation, and refinement.
• Develop tooling to automate and manage of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources.
• Deploy monitoring solutions for the servers, network and storage.
• Perform troubleshooting bottom up from bare metal, operating system, software stack and application level.
• Being a technical resource, develop, re-define and document standard methodologies to share with customer and internal teams Support activities and engage in POCs/POVs for future improvements.
• Experience with system administration on Linux systems required (CentOS, RHEL, and Ubuntu preferred) What We Need to See: BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields with at least 5+ years’ work or research experience in networking fundamentals, TCP/IP stack, and data centre compute architecture.
• Advance knowledge of HPC, AI & EVPN, BGP, OSPF, VXLAN protocols.
• Deep understanding of DC architecture fundamentals such as compute, storage (PFS) & InfiniBand, Ethernet, NVLink.
• Experience running HPC performance benchmarks, cluster health checks, and profiling tools to identify infrastructure bottlenecks.
• Python programming, bash scripting experience and Advance Linux knowledge.
• Extensive experience delivering automated network provisioning and comfortable with automation and configuration management tools including Jenkins, Ansible, Puppet.
• Possess solid working knowledge of Ethernet/InfiniBand/RDMA core principles.
• Excellent customer-facing and communication skills (verbal and written in both languages), enabling effective engagement with customers, partners, and cross-functional teams across the India region.
• Listening skills in English are critical.
• Willingness to travel Ways To Stand Out from The Crowd: Knowledge of CPU and/or GPU architecture including of Kubernetes, container related microservice technologies.
• Background with RDMA (InfiniBand or RoCE) fabrics.
• Linux or Networking Certifications (e.g., CCNP, CCIE) or NVIDIA-related certifications.
• Deep Knowledge on observability stack and build experience.