Developer & Infrastructure Expert - Remote-Stelle

micro1 sucht Developer & Infrastructure Expert. Die Stelle liegt im Bereich IT und Programmierung und ist vollständig remote. Das Unternehmen schränkt den Wohnort der Kandidatin nicht ein, Sie können sich also von überall bewerben.

Die wichtigsten in der Anzeige genannten Werkzeuge sind: AWS, Kubernetes, Docker, Agile / Scrum. Der Lebenslauf sollte konkrete Beispiele genau dieser Fähigkeiten zeigen.

Das Unternehmen hat die Vergütung veröffentlicht: $30 - $80 pro Stunde. Zu den Arbeitszeiten stellt die Anzeige keine Bedingung.

Diese Stelle hat eine automatische Prüfung durchlaufen: Anzeigen, die eine ausländische Arbeitserlaubnis, Visa-Sponsoring, eine bestimmte Staatsangehörigkeit oder den Wohnsitz in einem genannten Land verlangen, kommen nicht auf die Liste.

Role Title: Developer & Infrastructure Expert Role Type: Contractor Location: Remote micro1 is engaging Developer & Infrastructure Experts to contribute to a customer's project evaluating AI-powered developer and infrastructure workflows. 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. Scope of Work

* Test and validate AI-assisted workflows for developer and infrastructure tasks using tools such as GitHub, GitLab, JIRA, AWS, Azure, GCP, Kubernetes, Docker, and Terraform.

* Assess the accuracy and relevance of AI-generated commands, configurations, and outputs within cloud and platform engineering contexts.

* Document observations, identify discrepancies, and provide detailed feedback based on your professional experience.

* Evaluate how well AI agents interact with connected platforms and workplace tools, such as Slack, Google Drive, and Microsoft 365.

* Collaborate asynchronously by submitting written evaluations and participating in virtual discussions to clarify workflow requirements.

* Recommend enhancements and flag potential issues in AI-driven processes, with a focus on real-world applicability and industry standards.

* Maintain clear written and verbal communication in all feedback and interaction with project stakeholders.

Preferred Qualifications

* Proven expertise in software engineering, DevOps, site reliability engineering (SRE), cloud, platform, or infrastructure domains.

* Hands-on experience with Azure DevOps, AWS, GCP, Kubernetes, Docker, Terraform, CI/CD tools, and observability frameworks.

* Familiarity with developer platforms and workflow management tools such as GitHub, GitLab, and JIRA.

* Professional experience using AI agents (e.g., ChatGPT, Claude Code, Claude Cowork, Codex) in conjunction with development and infrastructure tools.

* Demonstrated ability to evaluate technical processes and provide actionable feedback.

* Strong skills in both written and verbal communication, with particular care for clarity and thoroughness.

* Experience integrating or working with workplace connectors and automation tools considered a plus.

Originally posted on Himalayas