Remote Data Platforms Engineer — Code Review & Testing

AuraOne; United States; On-site; USD 83,000 - 152,000; Part time

Job summary

AuraOne is seeking a Software Engineer, Data Platforms for a remote engineering review track focused on evaluating production code, debugging traces, and developer-facing AI outputs against correctness standards.

You will reproduce failures in a sandbox, write the minimal failing tests, compare paired solutions, and provide a written rationale tied to the rubric to help the modeling team target gaps. This role emphasizes concise reasoning and reliable weekly availability for at least 10 hours.

Qualifications

• Strong day-job engineering experience — you can read, run, and debug unfamiliar code for Software Engineer, Data Platforms work.
• Comfort writing concise unit tests that capture a single failure mode.
• Familiarity with a testing framework (pytest, Jest, or JUnit).
• 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.

Responsibilities

• Run and reproduce candidate code outputs in a sandboxed environment for Software Engineer, Data Platforms 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.

Skills

Code review

Debugging

Unit testing

Software engineering

Cloud & platform engineering

Tools

pytest

Jest

JUnit

Go test

RSpec

Job description

AuraOne is seeking a Software Engineer, Data Platforms for a remote engineering review track focused on evaluating production code, debugging traces, and developer-facing AI outputs against correctness standards.

You will reproduce failures in a sandbox, write the minimal failing tests, compare paired solutions, and provide a written rationale tied to the rubric to help the modeling team target gaps. This role emphasizes concise reasoning and reliable weekly availability for at least 10 hours.