- Advanced English proficiency (CEFR C1 or higher), with the ability to discuss technical issues clearly on calls and write clear documentation and work updates.
- Hands-on experience deploying and maintaining production applications.
- Strong working knowledge of Linux, Docker, Git, and CI/CD.
- Practical understanding of networking, DNS, SSL, reverse proxies, and application hosting.
- Experience administering PostgreSQL, Redis, or comparable services.
- Ability to write scripts and automate tasks using Bash, Python, JavaScript, or similar languages.
- Familiarity with AI coding agents and an interest in building repeatable workflows around them.
- Ability to troubleshoot problems systematically and verify changes before considering work complete.
- Sound judgment around credentials, access permissions, backups, and production changes.
- Experience administering cloud-hosted and self-hosted infrastructure, including server setup, updates, patching, and ongoing maintenance.
- Understanding of firewalls, VPNs, SSH, and secure remote access.
- Practical knowledge of storage, persistent volumes, backup retention, and restoring services and data.
- Ability to monitor system health and diagnose CPU, memory, disk, network, and service failures.
- Ability to assess resource requirements and manage infrastructure capacity and costs.
- Clear communication and the ability to turn agreed goals into working, documented implementations.
- Deploy and maintain client applications across development, staging, and production environments.
- Build and improve CI/CD pipelines, deployment automation, and rollback procedures.
- Manage containers, databases, networking, DNS, SSL certificates, secrets, and access controls.
- Set up monitoring, logging, alerts, backups, and tested recovery procedures.
- Maintain internal Linux servers, development environments, and self-hosted services.
- Help design and implement reusable AI-assisted development workflows for coding, testing, pull request review, and addressing feedback.
- Connect AI agents and development tools with repositories, CI/CD pipelines, and internal systems.
- Improve visibility into automated workflows, including progress, failures, and work requiring human input.
- Troubleshoot infrastructure and deployment issues alongside developers.
- Document configurations and procedures so successful setups can be reused across projects.
Success means reliable applications, repeatable deployments, well-maintained internal systems, and development workflows that require less manual coordination.
- Full-time, ongoing role.
- Fully remote.
- Work directly with the founder on priorities and implementation.
- Opportunity to shape our infrastructure and AI development practices across multiple projects.
