Compute Architect

Compute Architect - Unix or Windows + Storage + Kubernetes(Containerization)+openshift + GCP

Job Description

Must Have Technical/Functional Skills

• Architecture & Design- L4
• Cloud Compute Expertise GCP
• Rubrik
• IBM storage
• AIX
• Active Directory
• Hybrid cloud architecture (on-prem + cloud integration)
• Cloud migration strategy (lift & shift, re-platform, re-architect)
• Kubernetes / OpenShift architecture
• VMware OpenShift / Kubernetes migration

Roles & Responsibilities

1. Define Compute Architecture Strategy
   • Design end-to-end compute architecture (on-prem, cloud, hybrid)
   • Create High-Level Design (HLD) and guide Low-Level Design (LLD)
   • Align compute strategy with business goals, SLAs, and growth plans
   • Architects define the blueprint and direction of infrastructure
2. Translate Business Requirements into Technical Design
   • Understand application needs (performance, scale, availability)
   • Convert requirements into:
     • Compute sizing
     • Platform selection (VM vs Container vs Bare Metal)
   • Balance performance, cost, and resiliency
   • Architects act as a bridge between business and technology
3. Design Cloud & Hybrid Compute Platforms
   • Architect solutions on:
     • AWS (EC2, autoscaling)
     • Azure VM / VMSS
   • Define:
     • Hybrid architecture (on-prem + cloud)
     • Multi-region deployment strategy
   • Lead cloud migration (VM cloud / container)
   • Responsible for designing and managing cloud infrastructure architecture
4. Own Virtualization & Platform Strategy
   • Design VMware / Hyper-V / KVM environments
   • Define:
     • Cluster architecture (HA, DRS)
     • Resource pooling strategy
   • Drive modernization:
     • VMware Kubernetes / OpenShift transformation
5. Drive Containerization & Modern Platforms
   • Architect Kubernetes / OpenShift platforms
   • Define:
     • Cluster sizing and scaling
     • Multi-zone / multi-region clusters
   • Guide adoption of:
     • Microservices-based compute models
6. Ensure High Availability & Disaster Recovery
   • Define HA architecture (active-active / active-passive)
   • Design DR strategy (RTO / RPO aligned)
   • Implement:
     • Failover automation
     • Self-healing systems
   • Architects ensure systems are scalable, reliable, and resilient
7. Lead Automation & Infrastructure as Code
   • Implement:
     • Terraform / Ansible-based provisioning
   • Define:
     • Standard templates / golden images
   • Enable:
     • Automated provisioning, scaling, and recovery
   • Improving efficiency via automation is a key responsibility
8. Optimize Performance & Capacity
   • Perform:
     • Capacity planning
     • Workload profiling
   • Optimize:
     • CPU, memory, storage usage
   • Ensure systems meet:
     • Performance SLAs
9. Drive Cost Optimization
   • Optimize:
     • Compute resource utilization
     • Cloud spend (rightsizing, reserved instances)
   • Reduce:
     • Overprovisioning, unused capacity
   • Provide FinOps recommendations
   • Architects make decisions impacting cost, performance, and efficiency
10. Ensure Security & Compliance
    • Define:
      • Secure compute configurations
      • OS hardening standards
    • Integrate:
      • IAM, security controls
    • Ensure compliance with enterprise policies