Lead Solutions Architect AI Infrastructure & Private Cloud

Hi ,

We are hiring for Lead Solutions Architect AI Infrastructure & Private Cloud , with deep expertise inAI/ML infrastructure,High Performance Computing (HPC), andcontainer platforms .

Please find the JD below:

Location : Bangalore

Exp - 11+ Years

Required Skills:

1. HPC & AI Infrastructure

• Extensive knowledge of HPC technologiesand workload scheduler such as Slurmand/orAltair PBS Pro,
• Proficient in HPC cluster management tools, including HPE Cluster Management (HPCM) and/or NVIDIA Base Command Manager.
• Experience with HPC cluster managers like HPE Cluster Management (HPCM) and/or NVIDIA Base Command Manager.
• Good understanding with high-speed networking stacks (InfiniBand, Mellanox) and performance tuning of HPC components.
• Solid grasp of high-speed networking technologies, such asInfiniBandandEthernet.

2. Containerization & Orchestration

• Extensive hands-on experience with containerization technologies such as Docker, Podman, and Singularity
• Proficiency with at least two container orchestration platforms: CNCF Kubernetes, Red Hat OpenShift, SUSE Rancher (RKE/K3S), Canonical Charmed Kubernetes.
• Strong understanding of GPU technologies, including the NVIDIA GPU Operator for Kubernetes-based environments and DCGM (Data Center GPU Manager) for GPU health and performance monitoring.

3.Operating Systems & Virtualization

• Extensive experience in Linux system administration, including package management, boot process troubleshooting, performance tuning, and network configuration.
• Proficient with multiple Linux distributions, with hands-on expertise in at least two of the following: RHEL, SLES, and Ubuntu.
• Experience with virtualization technologies, including KVM and OpenShift Virtualization, for deploying and managing virtualized workloads in hybrid cloud environments.

4. Cloud, DevOps & MLOps

• Solid understanding of hybrid cloud architectures and experience working with major cloud platforms in conjunction with on-premises infrastructure.
• Familiarity with DevOps practices, including CI/CD pipelines, infrastructure as code (IaC), and microservices-based application delivery.
• Experience integrating and operationalizing open-source AI/ML tools and frameworks, supporting the full model lifecycle from development to deployment.
• Good understanding of cloud-native security, observability, and compliance frameworks, ensuring secure and reliable AI/ML operations at scale.

5. Networking & Protocols

• Strong understanding of core networking principles, including DNS, TCP/IP, routing, and load balancing, essential for designing resilient and scalable infrastructure.
• Working knowledge of key network protocols, such as S3, NFS, and SMB/CIFS, for data access, transfer, and integration across hybrid environments.

6. Programming & Automation

• Proficiency in scripting or programming languages such as Python and Bash.
• Experience automating infrastructure and AI workflows.

7. Soft Skills & Leadership

• Excellent problem-solving, analytical thinking, and communication skills for engaging both technical and non-technical stakeholders.
• Proven ability to lead complex technical projects from requirements gathering through architecture, design, and delivery.
• Strong business acumen with the ability to align technical solutions with client challenges and objectives.

Qualifications:

• Bachelors/master’s degree in computer science, Information Technology, or a related field.
• Professional certifications in AI Infrastructure, Containers and Kubernetes are highly desirable —such as RHCSA, RHCE, CNCF certifications (CKA, CKAD, CKS), NVIDIA-Certified Associate - AI Infrastructure and Operations
• Typically, 8–10 years of hands-on experience in architecting and implementing HPC, AI/ML, and container platform solutions within hybrid or private cloud environments, with a strong focus on scalability, performance, and enterprise integration.

If matching your profile, Please share your updated CV with [email removed]