Senior IT Infrastructure Architect

2 weeks ago

Ellore, Andhra Pradesh, India beBeeInfrastructure Full time ₹ 15,00,000 - ₹ 25,00,000
Platform Architect

The ideal candidate will have a strong background in designing and building platforms for AI and HPC workloads using HPE Private Cloud AI and HPE AI Factory solutions. Experience with infrastructure projects, including platform build-outs for AI/ML and HPC workloads is also highly desirable.

This role requires collaboration with cross-functional teams to align technical solutions with business goals. The successful candidate will have a deep understanding of Kubernetes Platforms, HPC Experience, Infra & Hardware Stack, AI Platform Enablement, and Project Delivery.

  • A strong background in container orchestration platforms, especially Red Hat OpenShift, SUSE Rancher, and CNCF Kubernetes is required. Proficiency in Linux system administration (RHEL / SLES /Ubuntu) and virtualization (KVM or OpenShift Virtualization) is also necessary.
  • Experience architecting HPC clusters, including GPU/compute nodes and HPC storage technologies (e.g., Lustre, WEKA, Parallel Filesystems) is essential. Familiarity with DevOps/MLOps practices, including CI/CD, Infrastructure as Code (IaC), and cloud-native security is highly valuable.

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. The ability to learn quickly and adapt to new technologies is crucial in this role.

Key Responsibilities:

  • Design and build platforms for AI and HPC workloads using HPE Private Cloud AI and HPE AI Factory solutions.
  • Develop infrastructure projects, including platform build-outs for AI/ML and HPC workloads.
  • Collaborate with cross-functional teams to align technical solutions with business goals.

Core Focus Areas:

  • Kubernetes Platforms
  • HPC Experience
  • Infra & Hardware Stack
  • AI Platform Enablement
  • Project Delivery

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.

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