DevOps Engineer (Automation Systems) - Freelance AI Trainer

Accountabilities:

• Deploy, configure, and maintain self-hosted automation environments such as n8n or similar workflow systems.

• Design and manage scalable infrastructure to support high-volume automation workflows and data processing tasks.

• Ensure system reliability, uptime, and fault tolerance across distributed automation pipelines.

• Implement and maintain monitoring, logging, and alerting systems to track performance and detect failures.

• Set up alerts for critical system events such as node failures, performance degradation, or workflow disruptions.

• Optimize infrastructure to handle concurrent workloads and performance-intensive operations.

• Support scaling strategies to ensure systems remain stable under increasing demand.

• Troubleshoot infrastructure issues and independently resolve system-level performance problems.

• Continuously improve deployment workflows and automation reliability.

Requirements:

• Minimum 3+ years of experience in DevOps, infrastructure engineering, or backend systems management.

• Strong experience with cloud platforms, server environments, and deployment pipelines.

• Proven ability to design and maintain high-availability and scalable systems.

• Hands-on experience with monitoring, logging, and alerting tools (metrics, logs, uptime monitoring).

• Familiarity with containerization tools such as Docker or equivalent technologies.

• Solid understanding of system performance optimization, scaling strategies, and fault tolerance principles.

• Experience supporting automation platforms or high-frequency workflow systems.

• Strong troubleshooting skills with the ability to work independently in complex environments.

• High attention to detail and strong focus on system reliability and stability.

• Ability to manage infrastructure in remote and self-directed work environments.

• Upper-intermediate or higher English proficiency (B2+ required).

• Nice to have: portfolio or examples of infrastructure, monitoring, or scaling systems.

Benefits:

• Fully remote freelance opportunity with flexible working schedule.

• Work on cutting-edge AI + automation hybrid infrastructure systems.

• Opportunity to build and scale high-impact, real-world automation environments.

• Competitive compensation of up to $60/hour depending on experience and contribution.

• Performance-based bonus opportunities.

• Exposure to advanced infrastructure, DevOps, and AI-driven workflows.

• High autonomy with ownership over infrastructure design and reliability.

• Opportunity to work on scalable, high-availability systems in a fast-growing technical field.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether?

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