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Lead Solution Architect - AI Infrastructure & Private Cloud @ Encora

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 Lead Solution Architect - AI Infrastructure & Private Cloud

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 & Consulting
Functional Area / Department: IT & Information Security
Role Category: IT Infrastructure Services
Role: Infrastructure Architect
Employement Type: Full time

Contact Details:

Company: Encora
Location(s): Pune

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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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