DevOps Engineer

Job Description

At Label Your Data, our infrastructure supports distributed teams, large volumes of data, and AI-driven projects for international clients.

Behind every well-labeled dataset is a system that must be stable, secure, and scalable — and that’s where you come in, joining us in a part-time DevOps Engineer role to help maintain and improve our infrastructure.

💻 What You`ll be doing

• Maintaining and administering Linux (Ubuntu) servers
• Automating infrastructure setup and configuration with Ansible
• Working with Docker (images, containers, networks, volumes)
• Monitoring system performance and planning resource usage
• Setting up and maintaining monitoring and alerting (Grafana)
• Managing backups, recovery processes, and system updates
• Applying security best practices and handling vulnerabilities
• Automating routine tasks with scripts
• Documenting infrastructure and collaborating with development teams to support deployments and CI/CD workflows
  

🛠️ What We’re Looking For

• Strong experience with Linux administration (Ubuntu), Ansible and Docker
• Confident use of Git for managing infrastructure code
• Understanding of server performance monitoring and resource management
• Experience with backup and recovery procedures
• Knowledge of basic infrastructure security practices
• Experience with monitoring tools (e.g. Grafana)
• Ability to write scripts (Bash, Python, or similar)
  

➕ Nice to Have

• Experience with Docker Compose or Kubernetes
• Experience supporting CI/CD pipelines
  

🌏 Why Label Your Data

• Opportunity to work fully remotely;
• Part-time position: 15-20 hours/week;
• Competitive compensation in USD;
• Greenhouse conditions for self-development;
• Stable, real-world infrastructure used daily by distributed teams;
• Opportunity to influence how DevOps practices evolve;
• Direct collaboration with technical teams across our group of companies, enabling shared expertise and aligned infrastructure practices.
  

🦾 Ready to be part of an innovative team? Apply today and help shape the future of AI data solutions!

*We celebrate diversity and are proud to be an equal opportunity employer.