DevOps & Infrastructure Engineer — AI Code Review

AuraOne, Inc.; United States; Remote; USD 110,000 - 165,000; Full time

Job summary

AuraOne, Inc. is seeking a remote DevOps & Infrastructure Engineer for AI Code Review. You will read, run, and debug unfamiliar code, write concise unit tests, and provide clear, data-driven review notes to help improve model-generated solutions.

This contractor role emphasizes reproducibility, test creation, and meticulous documentation of failures to guide future model improvements. Remote within the US with flexible hours and at least 10 hours weekly availability.

Qualifications

• Strong day-job engineering experience; you can read, run, and debug unfamiliar code for DevOps & Infrastructure Engineer — AI Code Review work.
• Comfort writing concise unit tests that capture a single failure mode.
• Familiarity with a testing framework (pytest, Jest, JUnit, Go test, RSpec, or equivalent).
• Clear written reasoning; your review note has to convince another senior engineer.

Responsibilities

• Run and reproduce candidate code outputs in a sandboxed environment for DevOps & Infrastructure Engineer — AI Code Review assignments.
• Grade cloud & platform engineering solutions for correctness, style, and edge-case handling.
• Write minimal failing tests that demonstrate the bug a model output missed.
• Compare paired solutions and rank them with a written rationale tied to the rubric.
• Tag failure modes with severity scores.
• Document recurring code-generation failures for the modeling team.
• Calibrate against gold-standard reviews to maintain high inter-rater agreement.

Skills

Code review

Debugging

Unit testing

Software engineering judgment

Cloud & platform engineering

Tools

pytest

Jest

JUnit

Go test

RSpec

Job description

DevOps & Infrastructure Engineer — AI Code Review is a remote engineering review track for evaluating production code, debugging traces, and developer-facing AI outputs against real-world correctness standards. Reviewers reproduce failures, write the unit test the model should have written, and explain the fix so the modeling team can target the gap.

Why this role matters

Engineering model quality lives or dies on whether the generated code actually compiles, passes tests, and handles edge cases. AuraOne pairs experienced engineers with the modeling team to grade outputs the way a code reviewer would.

Responsibilities

• Run and reproduce candidate code outputs in a sandboxed environment for DevOps & Infrastructure Engineer — AI Code Review assignments.
• Grade cloud & platform engineering solutions for correctness, style, and edge-case handling.
• Write minimal failing tests that demonstrate the bug a model output missed.
• Compare paired solutions and rank them with a written rationale tied to the rubric.
• Tag failure modes (compile error, runtime crash, off-by-one, security issue) with severity scores.
• Document recurring code-generation failures so the modeling team can target them.
• Calibrate against gold-standard reviews to keep inter-rater agreement above target.

Qualifications

• Strong day-job engineering experience — you can read, run, and debug unfamiliar code for DevOps & Infrastructure Engineer — AI Code Review work.
• Comfort writing concise unit tests that capture a single failure mode.
• Familiarity with a testing framework. pytest, Jest, or JUnit. Go test, RSpec, or whatever you use.
• Clear written reasoning — your review note has to convince another senior engineer.
• Reliable async availability for at least 10 hours per week.
• Prior code-review or technical-interview-grading experience is a plus.

Example tasks

• Reproduce a generated engineering solution to a coding task, run the test suite, and grade it.
• Write the smallest failing test that demonstrates a model's edge-case bug.
• Compare two paired solutions and rank them with a written rationale tied to the rubric.
• Triage a security issue surfaced by a model and document the patch the model should have produced.

Nice to have

• Open-source contributions or a public portfolio that demonstrates production-quality code.
• Experience with the target language's standard tooling, linters, and idiomatic style guides.
• Familiarity with security-review checklists (OWASP, CWE) and AppSec patterns.

Skills

• Code review
• Debugging
• Unit testing
• Software engineering judgment
• Cloud & platform engineering

Work model

Remote — US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

Compensation

$80–$120 / hr

Strong day-job engineering experience — you can read, run, and debug unfamiliar code for DevOps & Infrastructure Engineer — AI Code Review work. Comfort writing concise unit tests that capture a single failure mode. Familiarity with a testing framework. pytest, Jest, or JUnit. Go test, RSpec, or whatever you use. Clear written reasoning — your review note has to convince another senior engineer. Reliable async availability for at least 10 hours per week. Prior code-review or technical-interview-grading experience is a plus.