DevOps & AI Infrastructure Engineer

• 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.

Responsabilidades: • 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.

Deseable: • Experience with Northflank, Railway, Buildkite, GitHub Actions, or Infisical.

• Experience coordinating AI agents or automating development and code review workflows.

• Familiarity with MCP, APIs, webhooks, and integrations between development tools.

• Experience managing physical servers, virtualization, and self-hosted infrastructure.

• Familiarity with infrastructure as code and reusable environment configuration.

• Working knowledge of Node.js and TypeScript applications.

• Experience deploying and running AI/ML models on self-hosted GPUs, including model serving, GPU configuration, and performance and resource optimization.

Beneficios: • 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.