Lead Solution Architect - AI Infrastructure & Private Cloud
- Encora
- 10 - 20 years
- Pune
- 8 months ago
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Job Description
- Kubernetes Platforms:
- Proficiency in container orchestration platforms, especially Red Hat OpenShift, SUSE Rancher, and CNCF Kubernetes.
- Experience with GPU-accelerated workloads and tools like NVIDIA GPU Operator and DCGM
- Proven ability to integrate Kubernetes with AI/ML workloads and GPU infrastructure in hybrid or private cloud environments.
- HPC Experience:
- Experience architecting HPC clusters, including GPU/compute nodes and HPC storage technologies (e.g., Lustre, WEKA, Parallel Filesystems).
- Understanding of high-speed networking (e.g., InfiniBand, Mellanox, RoCE)
- Experience with HPC cluster management tools such as HPE Cluster Management (HPCM) or NVIDIA Base Command Manager.
- Familiarity with HPC workload schedulers like Slurm or Altair PBS Pro.
- Infra & Hardware Stack:
- Strong background in Linux system administration (RHEL / SLES /Ubuntu) and virtualization (KVM or OpenShift Virtualization).
- Primary focus on HPE servers and storage; experience with Dell, Lenovo, Supermicro, NVIDIA DGX/HGX platforms is acceptable.
- Solid understanding of compute, storage, and networking fundamentals in enterprise environments.
- AI Platform Enablement:
- Experience deploying and supporting NVIDIA AI Enterprise and related AI/ML frameworks.
- Familiarity with DevOps/MLOps practices, including CI/CD, Infrastructure as Code (IaC), and cloud-native security.
- Project Delivery:
- Demonstrated success in infrastructure project delivery, including platform build-outs for AI/ML and HPC workloads.
- Ability to collaborate with cross-functional teams and align technical solutions with business goals.
Trainability Clause
- Candidates with strong Kubernetes or HPC and AI/ML experience but limited infrastructure hardware exposure may be considered if they demonstrate trainability in server and platform environments.
Delivery Scope
- This is a delivery-focused role with limited presales involvement.
- The architect will be responsible for designing and building platforms, especially HPE Private Cloud AI and HPE AI Factory solutions, to support enterprise-grade AI workloads.Role & responsibilities
Preferred candidate profile
Candidates who are available to join immediately.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: IT & Information SecurityRole Category: IT Infrastructure ServicesRole: Infrastructure ArchitectEmployement Type: Full timeContact Details:
Company: EncoraLocation(s): Pune+ View Contact
Keyskills: On-Prem Enterprise Architecture Cloud Native Architecture Solution Architecting NVIDIA Private Cloud Cloud Architecture Infrastructure Architecture Cloud Native Kubernetes Professional Services
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