Platform Engineer, Cloud Infrastructure Engineer – AI Environments

🔥 0 minutes ago

🌐 India, Romania, +4 more countries – Remote

🇮🇳 India – Remote 🇷🇴 Romania – Remote 🇧🇷 Brazil – Remote 🇫🇷 France – Remote 🇪🇬 Egypt – Remote 🇦🇷 Argentina – Remote

💵 $50 - $100 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

☁️ Cloud Engineer

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Gramian Consulting

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2025

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

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

• Design realistic cloud and backend environments for evaluating complex AI-driven technical tasks. • Build reproducible scenarios involving distributed systems, networking, IAM, queues, persistent storage, and observability. • Create environments that test deployment, troubleshooting, scaling, security, and disaster-recovery workflows. • Develop deterministic validation tests and clear acceptance criteria. • Produce golden reference implementations and technically correct solution paths. • Create intentionally defective configurations and realistic failure scenarios. • Design scenarios involving rolling deployments, service failures, access-control problems, and recovery procedures. • Apply DevOps, CI/CD, and infrastructure-automation practices to environment development. • Document system architecture, operational flows, edge cases, and validation logic. • Collaborate with technical leads to refine technical specifications and evaluation quality.

🎯 Requirements

• Strong professional experience in backend software engineering using Python, Go, Java, C++, Rust, JavaScript/TypeScript, or a comparable language. • Hands-on experience with cloud infrastructure, DevOps, CI/CD, and infrastructure automation. • Proven experience designing, operating, or troubleshooting distributed systems in production. • Strong understanding of networking, service communication, and production-system architecture. • Hands-on knowledge of IAM, authentication, authorization, and infrastructure security. • Experience with queues, asynchronous systems, databases, and durable storage. • Strong understanding of observability, deployment strategies, scalability, and disaster recovery. • Ability to design reproducible technical environments and validate expected system behavior. • No prior AI experience is required. • Approximately 20 hours per week, subject to minimum weekly task submissions.