Remote DevOps & Cloud AI Reviewer for Code Quality

AuraOne

United States

On-site

USD 83,000 - 138,000

Full time

14 days+

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Job summary

AuraOne is seeking a remote DevOps and Cloud Infrastructure AI Expert contractor to evaluate production code, reproduce failures, write minimal failing tests, and document fixes for the modeling team. You will review outputs with a focus on correctness, security, and edge-case handling, operating in a sandboxed environment with US eligibility.

The role requires strong coding skills, familiarity with testing frameworks, and clear, persuasive reasoning to justify assessments.

Qualifications

  • Strong day-job engineering experience—you can read, run, and debug unfamiliar code for DevOps and Cloud Infra AI Expert work.
  • Comfort writing concise unit tests that capture a single failure mode.
  • Familiarity with at least one of: 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 and Cloud Infra AI Expert assignments.
  • Grade cloud & platform engineering solutions for correctness, complexity, idiomatic 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.

Skills

Code review
Debugging
Unit testing
Cloud & platform engineering
AI evaluation
Rubric writing
Expert review

Tools

pytest
Jest
JUnit
Go test
RSpec

Job description

AuraOne is seeking a remote DevOps and Cloud Infrastructure AI Expert contractor to evaluate production code, reproduce failures, write minimal failing tests, and document fixes for the modeling team. You will review outputs with a focus on correctness, security, and edge-case handling, operating in a sandboxed environment with US eligibility.

The role requires strong coding skills, familiarity with testing frameworks, and clear, persuasive reasoning to justify assessments.

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