Platform Engineer & Cloud Infrastructure Engineer (AI Environments)
Summary
Design and build cloud-based backend environments to test AI systems' handling of distributed systems, security, scaling, and recovery using backend and DevOps practices.
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 experienced backend and infrastructure engineers to design sophisticated reinforcement-learning environments that test how AI systems handle distributed systems, cloud infrastructure, deployment, troubleshooting, security, scaling, and recovery. The work combines backend engineering, DevOps, cloud architecture, and systems reliability. No prior AI experience is required.
CONTRACT: Freelance contractor, paid per completed task
COMMITMENT: Approximately 20 hours per week, subject to minimum weekly task submissions
LOCATIONS: Fully remote - GLOBAL
PROCESS: Application review, technical assessment, and onboarding
HOURLY RATE: $50-$100/h
Responsibilities
- 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.
