# DevOps / Platform Engineer (AI Evaluation)

**Company:** [Gramian Consulting Group](http://jobs.workable.com/companies/kANY7hHLXDH7fUqyifRLmf.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Contract
**Department:** Talent Solutions

[Apply for this job](http://jobs.workable.com/view/50bf5a74-c0a2-4179-aee3-e52628c3621f)

## Description

**About Us**

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

**Role Overview**

Our client is supporting the development of advanced AI systems through realistic engineering tasks based on modern cloud and infrastructure environments.

We are looking for experienced **DevOps, SRE, and Platform Engineers** to design and review production-style technical scenarios across **CI/CD, containers, Kubernetes, cloud infrastructure, Infrastructure as Code, observability, and incident response**. The role combines hands-on engineering with evaluation and technical review. **No prior AI experience is required**.

**COMMITMENT:** Minimum 20 hours per week

**LOCATIONS:** Remote

**NOTES:** This role requires hands-on coding ability in addition to infrastructure and automation expertise.

**Responsibilities**

-   Design realistic **DevOps and infrastructure tasks** based on production-style scenarios.
-   Create working reference solutions with clear setup, execution, and validation steps.
-   Develop scenarios covering CI/CD, containers, orchestration, Infrastructure as Code, monitoring, and incident response.
-   Review AI-generated technical outputs for correctness, completeness, and reproducibility.
-   Identify configuration, infrastructure, or implementation failures and provide precise corrections.
-   Validate that technical tasks can be reproduced consistently in the intended environment.
-   Apply a high quality bar to infrastructure design, automation, and operational workflows.
-   Document technical reasoning, expected outcomes, and troubleshooting steps clearly.
-   Provide structured feedback to improve future task and evaluation design.

## Requirements

-   At least **3 years of professional experience** in DevOps, SRE, Platform Engineering, or Infrastructure Engineering.
-   Strong programming ability in **Python, Go, Bash, or TypeScript**, beyond basic scripting.
-   Hands-on experience with **CI/CD** using tools such as GitHub Actions, GitLab CI, or Jenkins.
-   Strong practical experience with **Docker and Kubernetes**.
-   Professional experience with at least one major cloud platform: **AWS, GCP, or Azure**.
-   Hands-on Infrastructure as Code experience with **Terraform, Ansible, Pulumi, or CloudFormation**.
-   Advanced working knowledge of **Linux and Git**.