The position is for a Software Engineer specializing in Infrastructure and DevOps.
The role involves training large-language models (LLMs) to write production-grade infrastructure and DevOps code.
Responsibilities include comparing and ranking Terraform or Infrastructure as Code (IaC) snippets, explaining their reliability, efficiency, or scalability.
The engineer will refactor or repair AI-generated infrastructure setups to ensure correctness, security, and clarity.
Providing structured feedback, including edits, test outcomes, and architectural notes, is essential as it contributes to the Reinforcement Learning from Human Feedback (RLHF) pipeline.
The ultimate goal is for the model to learn to reason about DevOps in a smart, scalable, and safe manner.
Requirements:
Candidates must have 4+ years of professional software engineering experience, ideally in backend, infrastructure, or DevOps.
Extreme attention to detail and excellent written communication skills are required, as the role involves writing thoughtful code reviews and architectural justifications.
Fluency with cloud infrastructure, particularly AWS, is necessary.
Hands-on experience with Terraform and Infrastructure as Code practices is essential.
Strong instincts for performance, cost optimization, and security are required.
Candidates should be comfortable in a low-oversight, async-first remote environment.
A genuine enjoyment of reading documentation and specifications is expected.
Benefits:
The position is fully remote, allowing candidates to work from anywhere.
The role offers flexible hours, with a minimum of 15 hours per week and the possibility to work up to 40 hours per week.
Engagement is structured as a 1099 contract, providing flexibility in work arrangements.
