Cloud Platform Architect – AI Infrastructure Environments

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Gramian Consulting

2 - 10 employees

Founded 2025

🎯 Recruiter

🤖 Artificial Intelligence

📚 Education

Recruitment • Artificial Intelligence • Education

Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.

📋 Description

• Create realistic cloud and platform engineering challenges. • Build reproducible, containerized infrastructure environments. • Design scenarios covering networking, IAM, queues, storage, scaling, and reliability. • Define measurable requirements for configuration, topology, and runtime behaviour. • Develop automated integration, load, security, failure, deployment, and recovery tests. • Create accurate reference solutions and intentionally defective variants. • Debug environments and resolve infrastructure or test issues. • Document architecture decisions, expected outcomes, and validation logic. • Review tasks and solutions created by other technical experts.

🎯 Requirements

• Senior experience in **cloud architecture, platform engineering, DevOps, SRE, or systems engineering**. • Personal ownership of a production-grade platform or cloud environment. • Strong knowledge of distributed systems, scalable services, queues, storage, and failure handling. • Practical experience with IAM, private networking, and service-to-service security. • Experience with observability, SLOs, rolling deployments, rollback, and disaster recovery. • Ability to automate infrastructure or testing and debug containerized environments. • Experience with Terraform or OpenTofu. • Experience with AWS, Azure, GCP, Kubernetes, or multi-cloud environments.

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