Engineering & Data Tools Specialist
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We are looking for an experienced Engineering & Data Tools Specialist to support a project focused on improving how advanced AI systems understand and work with modern technical platforms.
You will evaluate tools used across software engineering, cloud infrastructure, developer productivity, data analysis, monitoring, and workflow automation. The work includes designing realistic use cases, testing integrations, reviewing AI-generated outputs, and documenting clear recommendations based on practical tool usage. Previous AI experience is not required.
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.
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