Freelance DevOps Engineer (Automation Systems) at Mindrift | Remote

MindriftRemote — Stuttgart, Baden-Württemberg, Germany

Remote Part-time $60/hr - $60/hr

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Experience Level

Experience

Qualifications

RequirementsA minimum of 3 years of relevant experience in DevOps, infrastructure engineering, or backend system management. Bachelor's or Master’s Degree in Computer Science, Engineering, or a related technical field is advantageous. Proficient in cloud platforms, server environments, and deployment workflows. Demonstrated ability to maintain high-availability systems and scalable architectures. Experience in configuring monitoring and logging frameworks.

About the job

The Tendem project blends AI and human expertise to automate complex workflows. As an AI Pilot, you will work closely with Tendem Agents who handle repetitive tasks, while you focus on keeping systems stable and scalable. The position calls for experience with cloud infrastructure, system deployment, and managing automation at scale.

Key Responsibilities

Deploy and maintain self-hosted automation platforms, such as n8n or similar tools.
Design and manage infrastructure to support high-volume workflows and large-scale data processing.
Scale automation systems to handle concurrent workloads and demanding performance needs.
Set up monitoring, logging, and alerting to track workflow performance and detect failures.
Implement alerts for critical events, including node failures and performance issues.
Maintain system uptime, reliability, and fault tolerance across automation pipelines.

Who Will Succeed

This freelance role fits engineers who enjoy hands-on work with cloud infrastructure and automation systems. The flexible, part-time schedule suits those looking to contribute to impactful projects while balancing other commitments.

For more on the Tendem project, visit https://tendem.ai/.

About Mindrift

Mindrift is a forward-thinking platform that connects experts with transformative AI projects from top technology firms. We strive to unlock the potential of Generative AI by incorporating real-world expertise from diverse specialists worldwide.

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