Engineering & Data tools Specialist
Role Title: Engineering & Data tools Specialist
Role Type: Contractor
Location: Remote
micro1 is engaging Engineering & Data tools Specialists to contribute expertise to a dynamic customer project focused on engineering and data tooling. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This is an opportunity to work with a diverse tech stack, leverage your cloud and infrastructure knowledge, and provide valuable feedback on industry-leading tools across both engineering and data domains.
Scope of Work
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Evaluate and provide insights on the usability and effectiveness of engineering and data tools such as GitHub, Azure, Metabase, and JIRA.
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Create comprehensive documentation and feedback reports based on real-world tool usage and best practices in engineering environments.
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Design, review, and test workflows integrating cloud solutions (e.g., AWS, Azure, Firebase) and developer productivity platforms (e.g., Linear, Postman, n8n).
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Analyze data visualization, monitoring, and CI/CD tools—including Tableau, Datadog, Sentry, and BrowserStack—for integration potential and process improvements.
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Contribute to the development of detailed use cases, technical guides, and process documentation for new features and data workflows.
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Collaborate closely with project stakeholders via strong written and verbal communication, delivering actionable recommendations and technical insights.
Preferred Qualifications
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3+ years direct, hands-on experience with engineering, developer tooling, and cloud infrastructure platforms.
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Proficiency with a variety of tools, including GitHub, Postman, AWS, Firebase, Azure, Datadog, Sentry, JIRA, Linear, n8n, Twilio, Databricks, Tableau, Metabase, and BrowserStack.
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Exceptional written and verbal communication skills, with a strong focus on clarity and technical accuracy.
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Bachelor’s degree in computer science, engineering, data science, or equivalent practical experience.
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Demonstrated ability to synthesize complex technical feedback into actionable improvement proposals.
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Experience supporting both cloud/infrastructure and developer tooling domains is highly desirable.
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Self-driven, detail-oriented, and comfortable working in an independent, remote contributor capacity.
Originally posted on Himalayas