System Architect – Platform Engineering

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We are seeking a highly experienced System Architect Platform Engineering to define and drive the architecture of core platform systems that power enterprise-scale applications across hybrid environments (on-prem data centers and public cloud).

This role focuses on end-to-end system design ensuring seamless integration across compute storage networking and platform services while delivering scalable reliable and high-performance infrastructure.

The ideal candidate will combine deep systems engineering expertise with architectural leadership enabling the development of a unified cloud-like platform.

Key Responsibilities

• Define and lead end-to-end system architecture for enterprise platform engineering including compute storage networking and platform services
• Design scalable and resilient platform systems across hybrid environments (on-prem AWS/Azure/GCP)
• Architect and standardize core platform components including:
  • Kubernetes-based platforms (OpenShift SUSE Rancher)
  • Infrastructure services (compute storage networking integration)
  • API-driven and self-service platform capabilities
• Drive architecture for high-performance systems including HPC and GPU-based workloads
• Ensure tight integration between:
  • Infrastructure layers (network compute storage)
  • Platform layers (Kubernetes APIs developer services)
• Define system-level design standards reference architectures and best practices
• Collaborate with network platform SRE and application teams to ensure cohesive architecture across the stack
• Design for high availability scalability fault tolerance and performance optimization
• Guide modernization efforts transforming legacy systems into modular distributed platform architectures
• Evaluate and adopt new technologies aligned with long-term platform strategy

Minimum Requirements

• Bachelors degree in Computer Science Engineering or equivalent experience
• 7 years of experience in systems architecture platform engineering or infrastructure engineering

Preferred Qualifications

• Strong expertise in large-scale distributed systems design
• Deep experience with compute storage and networking architectures in enterprise environments
• Hands-on experience with Kubernetes platforms (OpenShift SUSE Rancher or similar)
• Experience with Infrastructure as Code (Terraform Ansible)
• Familiarity with programming languages (Python Go)
• Experience with CI/CD pipelines and DevOps practices
• Experience with observability tools (Grafana Prometheus Elastic/ELK)
• Strong understanding of hybrid cloud architecture patterns
• Experience designing enterprise private cloud platforms
• Knowledge of advanced data center networking (EVPN/VXLAN SDN)
• Experience with Apache ecosystem (Kafka Spark or data platforms)
• Experience with public cloud platforms (AWS Azure or GCP)
• Understanding of API gateway IAM and platform integration patterns
• Exposure to GPU / AI / HPC workloads