Platform Architect - Remote

Overview

The Platform Architect will define and evolve the architectural foundation of MARA’s sovereign, energy-aware AI platform spanning IaaS, PaaS, and SaaS layers. This role bridges infrastructure engineering, platform design, and product architecture to enable governments, enterprises, and AI innovators to deploy, scale, and govern AI workloads across modular data centers, edge environments, and sovereign clouds.

In Short

• Architect and evolve MARA’s platform architecture across IaaS, PaaS, and SaaS layers
• Design interoperability patterns connecting modular data centers, Kubernetes clusters, and sovereign control planes
• Establish technical standards for scalability, compliance, and operational excellence.
• Collaborate cross-functionally with infrastructure, platform, and application teams to ensure seamless workload routing, observability, and automation
• Champion modularity so each layer operates independently or as part of an integrated ecosystem
• Define telemetry and self-healing frameworks across compute, storage, and orchestration layers
• Mentor engineering leads and influence long-term technical direction
• Drive energy-aware compute strategy and alignment with Exaion’s infrastructure blueprints
• Model capacity and reliability for production-grade, sovereign AI environments

Requirements

• 8+ years in infrastructure or platform architecture roles across IaaS, PaaS, or SaaS systems
• Deep expertise in cloud-native architectures (Kubernetes, service meshes, observability stacks)
• Experience with HPC, AI/ML, or edge compute deployments
• Proven ability to design hybrid or air-gapped architectures at scale
• Strong background in infrastructure automation (Terraform, Ansible, Helm).
• Understanding of distributed systems, GPU/accelerator topologies, and data-center design principles
• Track record of influencing technical strategy across multiple teams
• Advanced degree in Computer Science, Electrical Engineering, or equivalent experience

Benefits

• Opportunity to work on cutting-edge AI technology
• Collaborative environment with cross-functional teams
• Mentorship opportunities for career growth
• Flexible working hours and remote work options
• Contributions to energy-aware computing initiatives