DevOps Engineer | Remote

CodeGeniusRecruit; United States; On-site; USD 96,000 - 138,000; Part time

Job summary

CodeGeniusRecruit is seeking an experienced infrastructure engineer to perform and evaluate complex tasks using coding agents, reviewing model-generated implementations across AWS, Azure, GCP, Kubernetes, CI/CD, observability, and automation. You will apply engineering judgment to reliability scenarios and production-scale systems.

This contract role emphasizes sprint-based work with 12-24 hour stretches. Strong DevOps/SRE, cloud platform experience, and ability to compare model outputs are

Qualifications

• Experience in DevOps/SRE/Cloud Engineering.
• Strong cloud platform and Kubernetes experience.
• Experience evaluating model-generated infrastructure and reliability concerns.
• Ability to work with production-scale systems.

Responsibilities

• Complete and evaluate complex infrastructure engineering tasks using coding agents.
• Review model-generated implementations involving cloud platforms, Kubernetes, CI/CD, observability, and infrastructure automation.
• Identify bugs, edge cases, reliability issues, and system failure modes.
• Compare outputs from multiple models and assess strengths and weaknesses.
• Apply engineering judgment to real-world infrastructure and reliability scenarios.

Skills

DevOps/SRE

Cloud Engineering

Kubernetes

CI/CD pipelines

Observability

Model evaluation

Tools

AWS

Azure

GCP

Kubernetes

Terraform

CI/CD tooling

Observability tooling

Job description

Commitment: Sprint-based project running in 12-24 hour stretches based on project requirements

Commission: $85/hour (Typical accepted tasks pay approximately $400 and take 2-3 hours after ramp-up)

What You'll Be Doing

• Complete and evaluate complex infrastructure engineering tasks using coding agents.
• Review model-generated implementations involving cloud platforms, Kubernetes, CI/CD, observability, and infrastructure automation.
• Identify bugs, edge cases, reliability issues, and system failure modes.
• Compare outputs from multiple models and assess strengths and weaknesses.
• Apply engineering judgment to real-world infrastructure and reliability scenarios.

What We Re Looking For

• Strong experience in DevOps, Site Reliability Engineering, or Cloud Engineering.
• Strong experience with AWS, Azure, GCP, Kubernetes, Terraform, CI/CD pipelines, or observability tooling.
• Strong experience using coding agents and developer productivity tools.
• Ability to evaluate model-generated infrastructure and reliability engineering solutions.
• Strong experience supporting production-scale systems.