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 • Evaluate and provide insights on the usability and effectiveness of engineering and data tools such as GitHub, Azure, Metabase, and JIRA. • Create comprehensive documentation and feedback reports based on real-world tool usage and best practices in engineering environments. • Design, review, and test workflows integrating cloud solutions (e.g., AWS, Azure, Firebase) and developer productivity platforms (e.g., Linear, Postman, n8n). • Analyze data visualization, monitoring, and CI/CD tools-including Tableau, Datadog, Sentry, and BrowserStack-for integration potential and process improvements. • Contribute to the development of detailed use cases, technical guides, and process documentation for new features and data workflows. • Collaborate closely with project stakeholders via strong written and verbal communication, delivering actionable recommendations and technical insights. Preferred Qualifications • 3+ years direct, hands-on experience with engineering, developer tooling, and cloud infrastructure platforms. • Proficiency with a variety of tools, including GitHub, Postman, AWS, Firebase, Azure, Datadog, Sentry, JIRA, Linear, n8n, Twilio, Databricks, Tableau, Metabase, and BrowserStack. • Exceptional written and verbal communication skills, with a strong focus on clarity and technical accuracy. • Bachelor s degree in computer science, engineering, data science, or equivalent practical experience. • Demonstrated ability to synthesize complex technical feedback into actionable improvement proposals. • Experience supporting both cloud/infrastructure and developer tooling domains is highly desirable. • Self-driven, detail-oriented, and comfortable working in an independent, remote contributor capacity. Originally posted on Himalayas