Automation Engineer

We build and develop a growing portfolio of n8n-based automations used across finance, project management, QA, software development, and IT support. Our solutions include simple integrations to multi-stage automation pipelines involving business logic, corporate systems, databases, and AI/LLM components.

• At least 3 years of experience in n8n, Node.js, or Python
• Practical experience in automation and system integrations
• Strong hands-on knowledge of Node.js or Python
• Experience with REST APIs, JSON, HTTP, and authentication
• Practical knowledge of n8n and workflow design
• Understanding of databases, particularly PostgreSQL
• Practical knowledge of Docker and Docker Compose
• Experience with Git and code review workflows
• Understanding of error handling, retries, timeouts, logging, and debugging
• Practical understanding of LLMs and AI-assisted development
• Ability to critically review AI-generated code and solutions
• Strong analytical and problem-solving skills
• Ability to work independently and take ownership
• Good communication skills with business and technical teams
• Good verbal and written English skills (minimum B2 level)

Nice to have:

• Experience with LLMs in production environments
• Experience with Cursor, Cline, Claude Code, or similar AI development tools
• Experience with RPA or enterprise automation
• Knowledge of GitLab CI/CD
• Experience with Kubernetes, Helm, Kafka, Vault, Liquibase, or Langfuse

• Design and develop automation workflows in n8n
• Build multi-stage pipelines and sub-workflows
• Develop business logic using Node.js or Python
• Integrate automations with internal and external systems, including APIs
• Work with systems such as Jira, GitLab, SharePoint, PostgreSQL, and Excel/XLSX
• Implement AI and LLM components in business processes
• Debug, maintain, and optimize existing automations
• Respond to production issues and changes in external APIs
• Work with specifications and collaborate with business and technical stakeholders
• Review code and support deployments via GitLab and CI/CD

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