Engineering & Data Tools Specialist – AI Evaluation Project

Gramian Consulting

Engineering & Data Tools Specialist for AI evaluation project, focusing on usability and integration of engineering tools. Supporting project goals with data assessment and documentation of findings.

Posted 7/30/2026contractRemote • 🇷🇴 RomaniaMid-LevelSenior💰 $40 - $80 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in evaluating and designing technical workflows across cloud and data tools, with a strong focus on integration, documentation, and usability assessment. Proficient in delivering actionable insights and recommendations to enhance project outcomes.

Highest-signal resume keywords

GitHubAzureJIRAMetabaseCI/CD

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Cloud ToolsData EngineeringSoftware EngineeringTechnical DocumentationWorkflow Design

Soft Skills

Clear CommunicationAnalytical Thinking

Tools & Technologies

AWSFirebasePostmanDatadogSentryLinearN8nTableauDatabricksTwilio

Industry Keywords

DevOpsData VisualizationAutomationIntegration IssuesTechnical Workflows

Tech Stack

Tools & technologies

AWSAzureCloudFirebaseTableau

About the role

Key responsibilities & impact

Evaluate engineering and data tools for usability, accuracy, and practical value.
Design realistic workflows involving cloud, developer, and analytics platforms.
Test integrations across tools such as GitHub, Azure, JIRA, and Metabase.
Review workflows involving CI/CD, monitoring, data visualisation, and automation.
Create technical guides, use cases, and process documentation.
Identify workflow gaps, integration issues, and improvement opportunities.
Assess AI-generated technical outputs and provide structured feedback.
Deliver clear recommendations to project stakeholders.

Requirements

What you’ll need

At least 3 years of hands-on experience with engineering, data, or cloud tools.
Practical experience with **GitHub, Azure, JIRA, and Metabase**.
Experience designing or reviewing technical workflows and integrations.
Ability to document technical processes clearly and accurately.
Experience with tools such as AWS, Firebase, Postman, Datadog, Sentry, Linear, n8n, Tableau, Databricks, Twilio, or BrowserStack.
Background in software engineering, cloud infrastructure, DevOps, data engineering, or analytics.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Gramian Consulting Website LinkedIn All 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. Engineering & Data Tools Specialist – AI Evaluation Project 🔥 0 minutes ago 🇷🇴 Romania – Remote 💵 $40 - $80 / hour ⏳ Contract/Temporary 🟡 Mid-level 🟠 Senior 🚰 Data Engineer AWS Azure Cloud Firebase Tableau Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Evaluate engineering and data tools for usability, accuracy, and practical value.
Design realistic workflows involving cloud, developer, and analytics platforms.
Test integrations across tools such as GitHub, Azure, JIRA, and Metabase.
Review workflows involving CI/CD, monitoring, data visualisation, and automation.
Create technical guides, use cases, and process documentation.
Identify workflow gaps, integration issues, and improvement opportunities.
Assess AI-generated technical outputs and provide structured feedback.
Deliver clear recommendations to project stakeholders. 🎯 Requirements
At least 3 years of hands-on experience with engineering, data, or cloud tools.
Practical experience with **GitHub, Azure, JIRA, and Metabase**.
Experience designing or reviewing technical workflows and integrations.
Ability to document technical processes clearly and accurately.
Experience with tools such as AWS, Firebase, Postman, Datadog, Sentry, Linear, n8n, Tableau, Databricks, Twilio, or BrowserStack.
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