DevOps Engineer – Platform, AI Evaluation

Job not on LinkedIn

🔥 0 minutes ago

🌐 India, Romania, +4 more countries – Remote

🇮🇳 India – Remote 🇷🇴 Romania – Remote 🇧🇷 Brazil – Remote 🇫🇷 France – Remote 🇦🇷 Argentina – Remote 🇵🇱 Poland – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Gramian Consulting

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2025

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.

📋 Description

• 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