Software Engineer, Infrastructure & DevOps

Remote

G2i Inc.

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Software Engineer, Infrastructure & DevOps
Train large-language models (LLMs) to write production-grade infrastructure and DevOps code
Help teach AI how to write, debug, and optimize infrastructure code like a top-tier DevOps engineer.

  • Compare and rank Terraform or IaC code snippets, explaining which is more reliable, efficient, or scalable.

  • Refactor or repair AI-generated infrastructure setups for correctness, security, and clarity.

  • Provide structured feedback (edits, test outcomes, architectural notes) that feeds into the RLHF pipeline.

  • End result: The model learns to reason about DevOps the way you do—smart, scalable, and safe.

RLHF in one line
Generate IaC or backend code ➜ expert engineers rank, edit, and explain ➜ convert feedback into reward signals ➜ reinforcement learning tunes the model to think like a real infra engineer.

What Is Needed

  • 4+ years of professional software-engineering experience, ideally in backend, infrastructure, or DevOps.

  • Extreme attention to detail and excellent written communication—you’ll be writing a lot of thoughtful code reviews and architectural justifications.

  • Fluency with cloud infrastructure, especially AWS.

  • Hands-on experience with Terraform and Infrastructure as Code practices.

  • Strong instincts for performance, cost optimization, and security.

  • Comfortable in a low-oversight, async-first remote environment.

  • You enjoy reading documentation and specs—seriously.

What Is Not Needed

  • No prior RLHF or AI-training experience required.

  • No machine learning expertise needed—just deep infra/DevOps experience and clear thinking.

Tech Stack
We are especially looking for backend engineers working in Infra or Terraform-heavy environments.
Experience with any of the following is highly valued:

  • Terraform, AWS, GCP, or other cloud providers

  • Node.js or backend scripting

  • CI/CD pipelines

  • Infrastructure as Code (IaC) best practices

Logistics

  • Location: Fully remote (work from anywhere)

  • Hours: Minimum 15 hrs/week, can go up to 40 hrs/week

  • Engagement: 1099 contract

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: AWS CI/CD DevOps Engineering GCP LLMs Machine Learning Node.js Pipelines Reinforcement Learning RLHF Security Terraform

Region: Remote/Anywhere

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