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