DevOps / Infrastructure Engineer

$80–120/hr

rate as listed

Workload: 20+ hrs/week
Engagement: Project-based
Location: US
Field: STEM and Coding

Create and evaluate realistic DevOps and infrastructure tasks used to improve AI training data, including Kubernetes manifests, infrastructure as code, CI/CD pipelines and incident scenarios. The role requires production engineering depth, clear written judgment and at least 20 hours of weekday availability.

The work

You will design challenging infrastructure tasks, write technically accurate solutions and evaluate work produced for AI training. Typical assignments may involve Kubernetes manifests, Terraform modules, CI/CD pipelines, incident debugging, cloud architecture and rubrics covering security, reliability, observability and cost tradeoffs. You will also provide written feedback and coordinate with other subject matter experts to keep evaluations consistent.

What the platform screens for

Expect an AI-led screen to ask for verifiable examples from production environments and then probe the decisions, failure modes and tradeoffs involved. The role requires hands-on Kubernetes and Docker experience; infrastructure as code using Terraform, Pulumi or CloudFormation; deep experience with at least one of AWS, GCP or Azure; and CI/CD work with GitHub Actions, Jenkins, ArgoCD or similar. Strong scripting skills in Python, Bash or Go are required, with any one of those languages satisfying the stated scripting qualification.

Evaluation judgment

The work is not limited to producing configurations that are syntactically valid. You will need to distinguish safe, reliable infrastructure from plausible-looking but incomplete work, explain how you would verify behavior and identify concerns involving security posture, rollout safety, observability, resilience and cost.

Logistics

This is W-2 employment with Cincinnatus LLC, with potential placement at an AI lab as part of its extended workforce. Candidates must be able to work reliably for at least 20 hours per week during weekdays. The listing does not specify whether the engagement is remote or whether work can be completed asynchronously.

Pay band: $80–120/hr

What they look for

4+ years of dedicated professional experience in DevOps, SRE, platform or infrastructure engineering at a recognized, top-tier organization
Production experience with Kubernetes and Docker
Infrastructure as code using Terraform, Pulumi or CloudFormation
Deep experience with AWS, GCP or Azure and CI/CD tooling
Scripting proficiency in Python, Bash or Go
Written evaluation of infrastructure security, reliability, observability and cost tradeoffs

Included with this listing

Interview prep — 10 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: This checks whether your experience was dedicated infrastructure work, whether responsibility increased over time and whether the organizations and dates can be verified.
A strong answer: Give a concise chronology with employers, titles, dates and expanding ownership, such as moving from maintaining pipelines to owning production platforms, reliability targets or multi-team infrastructure. Quantify scale where possible without obscuring your individual contribution.
Where people lose it: Candidates lose points by listing tools without showing sustained infrastructure responsibility or by describing a team’s accomplishments without clarifying what they personally designed, operated or approved.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.

STEM AND CODING on Sidequest

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