Job Opportunities API

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.