Platform Engineer & Cloud Infrastructure Engineer (AI Environments)

Posted 2 Days Ago
Be an Early Applicant
6 Locations
Remote
50-100 Hourly
Mid level
Artificial Intelligence • Information Technology • Professional Services • Consulting
The Role
Design and build realistic cloud and backend environments to evaluate AI-driven tasks. Create distributed-system scenarios covering deployment, troubleshooting, scaling, security, disaster recovery, observability, and validation tests. Produce reference implementations and faulty configurations, document architectures and procedures, and collaborate with technical leads to refine specifications.
Summary Generated by Built In

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.

Skills Required

  • Professional backend software engineering experience (Python, Go, Java, C++, Rust, JavaScript/TypeScript)
  • Hands-on experience with cloud infrastructure
  • Hands-on experience with DevOps, CI/CD, and infrastructure automation
  • Proven experience designing, operating, or troubleshooting distributed systems in production
  • Strong understanding of networking and service communication
  • 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
  • Ability to produce deterministic validation tests, acceptance criteria, and reference implementations
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The Company
6 Employees

What We Do

Gramian Consulting Group is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong foundation in software engineering and leadership, the firm helps organizations build high-performing teams by matching them with qualified professionals. They specialize in talent augmentation and recruiting, specifically focusing on connecting engineering and data/AI talent with organizations to unlock real business value.

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