Cloud Platform Architect (AI Infrastructure Environments)

Job Description

About Us

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview

We are looking for an experienced Cloud Platform Architect to create realistic engineering environments used to evaluate how advanced AI systems solve production infrastructure problems.

You will design scenarios involving distributed systems, networking, IAM, observability, deployments, scalability, and disaster recovery. Each task will include a reproducible environment, measurable validation criteria, automated tests, a reference solution, and intentionally defective variants. Previous AI experience is not required.

CONTRACT: Freelance contractor, output-based

COMMITMENT: Flexible workload with minimum weekly task submission requirements

LOCATIONS: Fully remote

PROCESS: 30-minute AI interview, and hiring manager review

NOTES: Compensation is paid per successfully completed task. Selected contributors should be available to begin within 24–48 hours after onboarding.

HOURLY RATE: $60 - $130/h

Responsibilities

• 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.