
Cloud / DevOps Engineer (Infra & IaC) | $75-$110/hr Remote
Overview
A leading AI lab building foundational Large Language Models needs a Cloud/DevOps Engineer to improve the quality of its training and inference infrastructure. The role centers on hands-on work with Kubernetes, AWS services, and Infrastructure-as-Code. You will design tasks, evaluate solutions, and write technical feedback that helps models reason about cluster failures, AWS integration, and CI/CD pipelines. The position is full-time (40 hours/week), remote within the United States, and structured as a W-2 contract through Cincinnatus LLC.
What You'll Do5
- 1Mentor research and engineering teams to close knowledge gaps in cloud infrastructure, Kubernetes operations, and Infrastructure-as-Code, raising the quality of AI model training data.
- 2Create challenging, domain-specific tasks and craft precise, well-structured solutions for cluster diagnosis, AWS service integration, and infrastructure automation scenarios.
- 3Assess infrastructure engineering submissions and deliver clear, written technical feedback that identifies strengths and gaps.
- 4Build rubrics and detailed evaluation frameworks that measure cluster failure diagnosis, IaC design quality, and CI/CD reasoning across tasks.
- 5Work with other subject matter experts to keep training data consistent and accurate.
Requirements8
- 1At least 4 years of professional experience in cloud infrastructure, DevOps, site reliability, or platform engineering at a well-known technology company.
- 2Production-grade Kubernetes operations, including diagnosing and fixing cluster failures rather than only managing a control plane.
- 3Production experience with Infrastructure-as-Code, such as Terraform or AWS CDK.
- 4Real-world AWS integration work using Lambda, API Gateway, and DynamoDB.
- 5A record of building and owning CI/CD pipelines in a production environment.
- 6Clear evidence of career growth and increasing responsibility.
- 7Availability to work at least 40 hours per week during standard weekday hours.
- 8Strong written communication, with the ability to explain technical decisions in plain language.
Who Should Apply
The candidate who fits best combines several years of hands-on Kubernetes operations with production Terraform or AWS CDK work and can walk through concrete cluster failure scenarios they resolved. They also like giving written feedback and creating evaluation rubrics, because a large part of the role is assessing other engineers' work. This role is less suitable for people who have only used managed Kubernetes services or who avoid writing detailed technical documentation. Common reasons candidates get rejected are overstating Kubernetes troubleshooting experience without concrete examples, or submitting an application that doesn't show clear written communication.
Salary Insight
The pay rate is $75 to $110 per hour, which matches what senior DevOps and cloud infrastructure contractors typically command in the US market. This is a W-2 contract, so you receive benefits and payroll handling through Cincinnatus LLC.
Location
Required Skills
Application Tip
In your application, describe one production incident where you diagnosed and fixed a Kubernetes cluster failure, and include the specific AWS services and Terraform or CDK changes you made. Add a short written explanation of that incident to prove your communication skills, since the role asks for clear technical feedback.
See NearSkill jobs more often in your search
How your application is processed
1Application received
Your resume and details are logged the moment you apply.
2ATS + eligibility screening
We check your profile against the role’s skills, seniority, and requirements.
3Employer sees qualified profiles only
Only candidates who clear screening move forward.
Similar open positions
Explore active roles that match your skills and interests.

Micro1
VerifiedDevOps Engineer
This DevOps Engineer role is your opportunity to apply your cloud infrastructure expertise to directly influence how next-generation AI systems learn and perform. You'll design and automate scalable environments using AWS and Kubernetes, ensuring reliability and efficiency for model training workflows. No prior AI experience is needed—your proven DevOps skills are what matter most.

Micro1
VerifiedDevOps Engineer for Cloud Infrastructure and AI Training
DevOps Engineer needed for a remote contractor role with micro1, focused on building scalable cloud infrastructure for a customer project. You’ll contribute to training next‑generation AI systems by applying your automation and IaC expertise to real-world inputs. A strong background in DevOps, coupled with solid communication skills, helps you shape model learning and evaluation. Expect to work with CI/CD pipelines, container orchestration, and cloud platforms to maintain high standards of correctness and reproducibility. Kubernetes, Terraform, CI/CD, Python stand out as core tools in this engagement.

Micro1
VerifiedSenior DevOps Engineer
This remote contractor role offers a chance to apply your DevOps expertise to a unique mission: training next-generation AI systems. You'll design and manage the cloud infrastructure and pipelines that enable AI models to learn and improve, using your existing skills rather than requiring prior AI experience.

Micro1
VerifiedDevOps Engineer
This remote contract role blends DevOps engineering with a unique mission — helping train next-generation AI systems. You'll use your infrastructure expertise to build resilient, scalable cloud environments that power AI learning. No prior AI experience is needed; what matters is your ability to design and manage complex systems across AWS, Azure, and GCP.

Micro1
VerifiedSenior Platform Engineer Remote Cloud Infrastructure Expert
A remote contractor role focused on cloud platform engineering to support next-gen AI training. You’ll shape how models learn and perform by providing real-world, production-grade input across distributed systems, networking, IAM, storage, and observability. Your background in cloud infrastructure and platform ownership stands in for AI-specific experience, guiding the creation of realistic reinforcement learning environments.

Micro1
VerifiedCloud Architect
In this contract role, you'll put your cloud architecture expertise to work helping train next-generation AI systems. By reviewing designs, building automation, and ensuring security best practices, you'll provide high-quality real-world input that directly shapes how models learn and reason. This is a chance to apply your cloud infrastructure knowledge in a cutting-edge AI context.

